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IoT for healthcare: a comprehensive
technology overview & top applications
April 8, 2025
The Internet of Things (IoT) in healthcare, known as the Internet of Medical Things (IoMT), incorporates connected devices and software that collect, exchange, and analyze health data and facilitate informed decision-making in patient care.
Itransition helps care providers choose the right healthcare IoT technology, implement IoT solutions to support day-to-day workflows, and overcome any software-related challenges.
Applications of IoT in healthcare: key areas
Healthcare providers use IoT software solutions for various purposes, like treatment monitoring and disease management, equipment supervision, virtual care delivery, and medication control. Here are the most popular use cases for healthcare IoT.
Disease-specific use cases
Connected smart devices and sensors help patients with acute and chronic diseases monitor environmental conditions that affect their health, track symptoms and their severity throughout the day, and adhere to their treatment plans. Here are some of the examples of how IoMT facilitates disease management:
- Warning patients of an upcoming asthma attack via notifications on their devices
- Sampling physical vital signs, like blood pressure, the electrical activity of the heart, SpO2, pulse rate, heart rate, and blood glucose, for cardiac condition monitoring
- Glucose monitoring and automated insulin delivery for people with diabetes
- Tracking tremors, dyskinesia, and wrist rigidity as part of Parkinson’s disease monitoring activities
- Tracking the movement of a patient’s eyes and biometrics for depression and mood monitoring
- Creating proper cancer treatment plans based on a patient’s movements, fatigue levels, and appetite
In-hospital use cases
Hospital IoT devices enable real-time environmental tracking and control in the facilities, simplify inventory management in the hospital, and ensure more responsive care, allowing patients to regulate their medication or notify personnel if needed. Here is how healthcare IoT can be beneficial for hospitals:
- Enablement of smart hospital technology, creating a digitally connected healthcare ecosystem
- In-hospital patient monitoring and diagnostics for constant observation and urgent response
- Hand hygiene monitoring, reminding healthcare staff and visitors to wash their hands when entering a room and ensuring they sanitize their hands well enough to minimize risks for patients
- Environmental condition monitoring, including temperature, humidity, and water and air quality in various hospital areas, such as operating rooms and storage facilities for sensitive materials
- Monitoring medical equipment and identifying equipment failures before they occur, facilitating predictive maintenance and minimizing downtime
- Tracking and managing patient flows from admission to discharge using face recognition technology in devices installed in hallways and wards to detect underutilized areas and locations that might become overcrowded
- Robotic surgery, helping surgeons perform complex procedures with smaller incisions or remotely
- Tracking the location of high-value hospital equipment with Bluetooth-based beacons, RFID, or QR tags to simplify asset management and searches for misplaced items
- Wireless IoT sensors in labs and hospital refrigerators, controlling temperature, humidity, air quality, and levels of contamination to ensure that medications, samples, biological specimens, and medical equipment are in proper condition
Remote care
By remotely monitoring health conditions with IoT devices and wearables, patients can timely take preventive measures, live more independently without having to travel to their provider for health checks, and better understand the disease progression and treatment effectiveness. Here are some of the most common IoT applications for remote care:
- Telehealth, enabling telemedicine practitioners to conduct scheduled and on-demand patient examinations remotely, be it routine health checks or specific procedures, such as virtual neurology visits and telepediatric or telepsychiatry sessions
- Patient self-care, allowing patients to keep track of their physical and mental health, sleep, and nutrition, get notified of abnormal health indicators, and learn to lead healthier lives or manage their condition more effectively
- Remote patient monitoring to continuously measure health parameters and synchronize patient data with clinical systems
- Medical alert systems, sending an emergency message to a designated number in case of an accident
Diagnosing & medication adherence monitoring
IoT-connected devices help physicians make accurate diagnoses and oversee patients’ adherence to prescribed treatments by sending real-time information, administering the needed medication on time, and informing people of upcoming attacks.
- Capturing different kinds of imaging, biochemical, and microbiome data and sending it to a connected app
- Dispensing accurate doses of medication throughout the day
- Automatically adjusting the pressure on different body regions or their moisture levels and temperature
- Providing periodic visual, audio, and in-app reminders to prevent complications due to not taking medications, leaving the device at home, or not using it properly
How IoT in healthcare works
The architecture of an IoT ecosystem represents a wired or wireless network of hardware collecting environmental and equipment data and health information, as well as software that centralizes the data for storing, analytical, and decision-making purposes. It typically consists of the following layers:
Perception layer
Any device, including computing devices, mobile phones, smart bands, and others, equipped with perception and identification technologies like radio frequency identification (RFID), infrared sensors, cameras, GPS, and smart device sensors, collects diverse types of data either from patients or the environment. IoT devices can be equipped with data analytics solutions to analyze or act upon the acquired data prior to sharing it.
Network layer
This level comprises wired and wireless networks utilizing short-range communication technologies such as RFID, Bluetooth, Zigbee, low-power Wi-Fi, Global Systems for Mobile Communications, and high-frequency cellular networks such as 4G and 5G. They facilitate the transmission of the data received from sensors and devices to the data center or cloud through gateways for further standardization, processing, and analysis.
Application layer
The application layer includes data repositories, analytical systems, EHRs, and other software and allows users to use data efficiently as well as manage connected devices. This includes creating comprehensive medical records and interpreting them, controlling remote devices, detecting potential failures, and more. For deeper analysis, accurate predictions, and enhanced diagnostics, IoT devices can be augmented with AI and deep learning capabilities.
Looking for an experienced team for your IoMT project?
Benefits of IoT in healthcare
The implementation of smart devices offers numerous advantages to healthcare, from ensuring medical equipment resilience to improving population health.
Resource optimization & care cost reduction
Connected care enables remote patient health monitoring and access to medical data, eliminating the cost of driving to a healthcare facility for patients. Thanks to the reduced number of in-clinic visits, healthcare service providers can save on costs associated with unnecessary hospitalizations, readmissions, equipment utilization, and the provisioning of physical infrastructure.
Improved patient diagnosis & treatmentr
By collecting patient data, IoT devices support the provision of medical care that is tailored to the needs of a particular patient. Such care personalization and responsiveness improve its effectiveness and patient outcomes.
Enhanced preventive & proactive care
Thanks to real-time tracking and alerting capabilities, medical IoT systems help doctors and patients detect early signs of illness so they can start treatment promptly. This makes primary, secondary, and tertiary health care more proactive, continuous, and coordinated.
Medical care accessibility through telehealth
A combination of telemedicine and IoMT enables remote primary care as well as remote rehabilitation and treatment. When combined, these technologies allow patients to perform certain medical procedures at home, giving them more control over their health and advancing medical care accessibility for the population in underserved remote areas.
Error reduction & enhanced employee efficiency
By automatically capturing data in real time and making it accessible to stakeholders, intelligent healthcare solutions help minimize mistakes from manual data input and reduce the workload on personnel.
Optimized equipment utilization & climate control
IoMT lowers the chance of medication contamination due to its improper storage, prevents equipment failure, and ensures appropriate environmental conditions both for storing biospecimens and treating patients. It also facilitates quicker equipment turnaround, asset maintenance, and optimized temperature and air quality for each facility.
Faster research processes
IoT devices supply researchers with a vast amount of healthcare data, helping them understand the progression and causes of diseases, uncover new disease trends, and develop ways to treat or prevent them.
Personalized & transparent insurance
With a better understanding of health patterns and disease history from continuous patient monitoring, insurance companies can develop more personalized offers for patients, detect fraud claims, and accurately estimate risks.
Overcoming common challenges of healthcare IoT
While IoT offers significant benefits, its implementation is hindered by a range of challenges. Therefore, to ensure the seamless adoption of IoT in healthcare, it’s crucial for software developers and device manufacturers to address these challenges with a clear and well-structured approach.
Challenge | Solution | |
|---|---|---|
Data security | IoT devices transmit sensitive personal data that hackers can easily intercept. | IoT hardware and software components should integrate robust cybersecurity mechanisms, including secure network protocols and data encryption at rest and in transit, and support various authentication options, such as signatures, voice patterns, fingerprint scanning, passwords, and smart cards. IoT solutions also should comply with industry regulations like HIPAA, IEC, FDA, and GDPR. Moreover, software and firmware should be properly identified, classified, and updated, and unnecessary devices should be decommissioned in a timely manner. |
Data accuracy | The system can produce incorrect results due to sensor malfunction, battery issues, signal interference,
or improper device use. | Validate the data for consistency, accuracy, and completeness using manual and automated procedures, such as reviewing the data, matching it with predetermined standards, filtering out inaccurate or misleading data sets, and employing tools that automatically look for mistakes and discrepancies. To ensure data relevance, healthcare practitioners can cross-reference the data produced by IoT devices with clinical observations if needed. |
Lack of standardization protocols | A variety of machine-to-machine communication protocols makes data collection, source integration, and
real-time analysis much more difficult and time-consuming. | Though device manufacturers have not reached an agreement on a single standard for communication protocols, they are developing frameworks to ensure the interoperability of IoT devices. As such, possible solutions include implementing frameworks considering the application’s requirements, standardizing dependable communication protocols, and employing popular IoT communication protocols, like CoAP, MQTT, XMPP, AMQP, DDS, LoWPAN, BLE, and Zigbee. |
Lack of trust or familiarity | As IoT devices have limited battery life, pose bodily injury risks due to defective design or product
misuse, and can lack clear reimbursement rules, healthcare industry representatives and patients can have
concerns about using IoT solutions in life-critical situations. | Collaborate with doctors and patients from the project’s earliest stages to consider their needs and address concerns on a smaller scale. Choose secure IoT devices that comply with quality management standards like ISO 13485 and ISO 9001 and collaborate with insurers and policymakers to negotiate clear reimbursement policies. |
Best real-life examples of IoT in healthcare
These IoT solutions improve the lives of patients and enhance the efficiency of healthcare providers around the globe, reducing health risks, and making healthcare more accessible.
Emergency care IoT solution
Itransition developed a multi-tenant unified HIPAA- and FDA-compliant digital health solution for Nuvara, a medical manufacturing company that specializes in carts and cabinets for medication delivery and administration in healthcare facilities. This solution automates and facilitates the retrospective surrounding the Code Blue event, which would improve the emergency care provision standards, enhancing the quality of patient treatment and enabling inventory management in resuscitation carts.
Image title: Cart check
Image source: itransition.com — Medical IoT solution for
emergency care
IoT device management software
Itransition’s team delivered a ready-to-use iOS application to be connected to IoT devices like humidifiers, air conditioners, lights, etc., for a healthcare device manufacturer that serves senior care, home care, hospice, and acute care organizations. The solution enables users to manage their connected humidifiers precisely and conveniently when inside or outside the building and is ready to be integrated with more devices.
Image title: Rules and detailed stats UI
Image source: itransition.com — IoT
device management software
Zio® ECG monitors
A digital healthcare company, iRhythm, developed a continuous cardiac monitoring Zio patch that helps prevent atrial fibrillation. The device gathers patient data for 3 to 14 consecutive days and uses machine learning to assess a person’s overall cardiac health. The collected data is used to generate reports that can be integrated into the patient’s electronic health records, enabling a consulting cardiologist to make an accurate diagnosis and prescribe appropriate treatment.
The Eversense continuous glucose monitoring (CGM) system
The Eversense continuous glucose monitoring (CGM) system is designed for patients with Type 1 and 2 diabetes, alerting them if their blood glucose levels exceed the pre-set benchmark. The device, implanted under a person’s skin, transmits data to a smart patch that synchronizes glucose level data with a dedicated mobile app every five minutes. The system then assesses this data and notifies users when glucose values are approaching potentially dangerously high (hyperglycemic) or dangerously low (hypoglycemic) levels.
EyeQue diagnostic solutions
The company offers a variety of IoT solutions to help people check their vision and get prescription glasses, determine pupillary distance, check for color vision deficiency, and understand how well they distinguish between light and dark. However, EyeQue diagnostic devices can’t detect conditions like glaucoma, retinopathy, or macular degeneration, so they are not meant to replace annual visits to the doctor. Still, these IoT healthcare solutions come in handy for people who don’t have in-person access to an eye doctor.
Omnipod automated closed-loop (AID) system
Omnipod is an automated closed-loop insulin delivery (AID) system that works in sync with glucose monitoring devices. The device continuously checks glucose levels in the patient's blood to determine the optimal insulin dosage to be delivered through the smart insulin pump. The Omnipod system helps patients experience fewer “lows” and “highs” of blood sugar, which positively impacts their health and prolongs life expectancy.
Natural Cycles birth control solution
Natural Cycles is an FDA-cleared hormone-free birth control solution that uses a sophisticated algorithm to evaluate women’s fertility based on their body temperature. Recently, Natural Cycles paired with smart ring producers, ŌURA, to make the family planning experience easier and predictions more accurate, with the smart ring monitoring body temperature throughout the day.
Image title: Natural Cycles Powered by ŌURA
Image source: naturalcycles.com —
Natural Cycles Powered by ŌURA
PURELL SMARTLINK activity monitoring system
PURELL SMARTLINK™ is a technology for healthcare staff tracking and safety goals improvement. The system consists of devices like an Activity Counter to track entries and exits in the wards and hallways and PURELL SMARTLINK™ Dispensers to capture soap and sanitizer dispenser activations. Software-wise, the system includes Network Gateway, which transfers data through the Microsoft Azure Cloud, and PURELL SMARTLINK Software, which creates comprehensive visual reports using real-time data. The system measures staff’s hand hygiene performance, helping hospitals ensure that each member adheres to the hand hygiene rules.
ColdTrace remote temperature monitoring (RTM) solution
The ColdTrace solution from NexLeaf is a remote vaccine temperature monitoring system that monitors the functional state of cold chain equipment and alerts designated personnel of malfunctions. Currently, NexLeaf is installed on 15,000 devices across 8 countries, with the company continually innovating the system and expanding the coverage area.
Image title: NexLeaf ColdTrace solution
Image source: nexleaf.org — A History of
ColdTrace
Diabetic Foot Boot
Sensoria Health partnered with Defender to offer smart wound management footwear that can monitor the state of the patient’s foot ulcers. The acquired data can then be used to improve the patient’s adherence to a treatment protocol and personalize the regimen more to accelerate rehab and prevent amputations.
Centrella Smart+ Bed
Centrella Smart+ Bed is a contactless heart rate and respiratory monitoring and alerting system that allows hospitals and post-acute care providers to intervene before the patient’s condition worsens. The device has an embedded sensor that measures vital signs through the surface and updates the readings twice per second. It’s connected to nurse-call systems, smartphones, and smart applications, as well as is equipped with a SafeView+ System indicator light and GCI touchscreen alerts, sending notifications to caregivers via dome lights, status boards, and audible alerts.
IoT platforms used in healthcare
As the popularity of IoMT rises, so does the number of platforms the medical IoT ecosystem can be based on. Each platform has its own unique advantages for app developers, device manufacturers, and care providers.
AWS for Healthcare & Life Sciences
AWS provides a secure, extensive global infrastructure for building, designing, and managing robust, IoT-based, AI-powered healthcare systems. AWS offers a suite of IoT tools, including:
- AWS IoT Core, which enables secure two-way connectivity between internet-connected devices and AWS services
- AWS IoT Device Defender for securing IoT devices
- AWS IoT Greengrass for building and managing device software
- AWS IoT SiteWise for collecting and analyzing data from industrial equipment at scale
- AWS IoT FleetWise for organizing vehicle data in the cloud
- AWS for Life Sciences solutions for connecting lab environments, drug discovery, research data management and collaboration, genomic data analysis, etc.
Azure IoT for healthcare
Azure IoT for healthcare provides cloud infrastructure and services to build solutions that facilitate continuous patient monitoring, in-home care, smart hospital deployment and operation, equipment maintenance, inventory management for medical supplies, and supply chain tracking. The company offers a managed app platform, Azure IoT Central, to build apps quickly thanks to pre-built components, as well as the Azure IoT Hub and Azure Digital Twins services for creating highly customized and flexible IoT applications from the ground up.
Azure IoT for healthcare can be part of the Microsoft Cloud for Healthcare platform, which represents a unified ecosystem for deploying smart healthcare solutions.
Google Cloud
Google Cloud provides a strong foundation for stream and batch data processing, asynchronous communication between services, secure device connectivity through MQTT and HTTPS protocols, and cloud storage, enabling healthcare organizations to deploy and manage IoMT devices. Google offers HIPAA-compliant and customizable tools specifically for healthcare and life sciences, such as an AI-powered Google Cloud Healthcare Data Engine. It supports near real-time data analysis, which is essential for information coming from IoT devices, as well as unifies different clinical data formats from disparate systems into the FHIR store for system interoperability and secure data exchange.
Cumulocity IoT
Software GmbH’s Cumulocity IoT platform is easy to use, flexible, and resilient and can be customized for specific use and brand. The platform can be deployed at the edge, in the cloud, and on-premises, provides out-of-the-box connectivity to hundreds of device types and protocols, and can be connected to devices that don’t support a standard protocol using publicly documented APIs.
Cumulocity is also an application development platform that offers pre-built mobile app solutions, a microservice development framework kit, and a Cumulocity IoT QuickStart program for faster app deployment. Applications, such as the Overall Equipment Effectiveness (OEE) app and Digital Twin Manager, also represent pre-built solutions that help healthcare organizations get a glimpse into the connected devices and timely optimize their performance.
Siemens Healthineers
Siemens Healthineers, which was spun off from parent company Siemens, offers a portfolio of digital solutions, such as a Vendor Neutral Archiving Solution (VNA) for managing healthcare data, syngo Virtual Cockpit for remote scanning, and eHealth Solutions for cross-institutional collaboration, that enable organizations to effectively utilize data from IoMT devices.
Additionally, Siemens Healthineers and Cognosos have teamed up to offer a real-time location system (RTLS) for monitoring mobile assets in medical facilities. The solution provides room-level information about asset locations and statuses by utilizing Cognosos’ Bluetooth beacons and Bluetooth Low Energy (BLE) connectivity. It is a software-as-a-service (SaaS) product designed to be affordable and easy to implement.
Essential devices in healthcare IoT
IoMT devices that collect data for software platforms to analyze and transfer can be sorted into different categories:
In-hospital devices
In-hospital devices are those primarily used inside the healthcare facility and include:
- Smart beds with vital signs trackers in hospital wards
- Blood collection devices in labs
- Medical imaging machines like CT scans
- Smart carts
- Barcode readers at the pharmacy
- Temperature, humidity, and hygiene sensors
- Automated dispensing systems
- ECG machines
- Ventilators
- Asset tracking systems
- Waste management systems
- Dialysis machines
- Advanced metering infrastructure (AMI)
- IoT-enabled ambulances
At-home devices
At-home devices represent medical devices that patients can use outside the healthcare organization:
- Scales
- Inhalers
- Thermometers
- Baby monitors
- Specialized cameras
- Smart wheelchairs
- Medical alert systems
- Remote patient monitoring (RPM) devices
On-body gadgets
On-body gadgets are those that patients wear most of the time, such as:
- Fitness trackers (often built into smartwatches)
- Blood pressure and heart rate monitors
- Pulse oximeters
- Glucometers
- Insulin pumps
- Connected contact lenses
- Health monitoring patches
- Activity trackers
- Neurological monitors
- Hearables
- Mood trackers
Implantable & ingestible devices
Implantable & ingestible devices are wholly or partially introduced into the body or swallowed by patients, for example:
- Pacemakers
- Continuous glucose monitors
- Neurostimulators
- Drug delivery systems
- Spinal cord stimulators
- Cochlear implants
- Intraocular pressure sensors
- Smart video pills
Other tools
Other tools include novel technologies used in research and clinical laboratories, operating rooms, and patient devices:
- Organs-on-a-chip
- Genetic analyzers
- Robot-assisted surgery systems
Healthcare IoT statistics
Healthcare industry state
| By 2030, it is anticipated that the worldwide healthcare software market will be worth $104 billion. | |
|---|---|
| In 2023, healthcare dominated the market for IoT cloud platforms. |
by end-user, 2023
Scheme title: Healthcare holds 24% of the IoT cloud platform market
Data source:
FortuneBusinessInsights.com
Scheme title: IoT is the number 2 priority for emerging technology investments for health services
Data source: PwC’s 2023 Emerging Technology Survey: HI base of 56
Global healthcare IoT market
Scheme title: The number of connected IoT devices is expected to grow 14% to 41.1 billion by 2030
Data source: IoT-Analytics.com
*Forecast
| The size of the worldwide IoMT market is expected to increase from $60.03 billion in 2024 to $814.28 billion by 2032, with a compound annual growth rate (CAGR) of 38.5% | |
|---|---|
| The IoT in the healthcare market is expected to develop at a CAGR of 13.3% from 2024 to 2031, reaching $121.45 billion by that time. | |
| With $33.04 billion in 2025, the USA is predicted to have the highest revenue in the healthcare IoT market when compared to other nations. |
in million users
Scheme title: The global user base of IoT devices employed for health or medical applications
Data source: Statista.com
| The integration of artificial intelligence (AI) and machine learning (ML), remote surgery, predictive healthcare, healthcare technology advancements, and smart hospitals are some of the major trends for 2025–2029 in the Internet of Medical Things (IoMT) market. |
|---|
Trends in healthcare IoT segments
| The medical sensors market is forecasted to reach $3.6 billion by 2029, up from $2.4 billion in 2024, with a CAGR of 8.1% from 2024 to 2029. |
|---|
Scheme title: The medical sensors market across regions
Data source:
MarketsandMarkets.com
| The medical sensors market is expected to grow predominantly due to the growing use of surgical robots as well as improvements in digital and sensor technologies. | |
|---|---|
| One of the main obstacles to the medical sensors industry’s expansion is the complexity of designing appropriate medical sensors. | |
| The global market for sleep-tracking devices is anticipated to generate $58.2 billion in sales by 2030, growing at a CAGR of 11.9% from 2024 to 2030. |
Scheme title: IoT devices within the company assets are the number 1 targets of external attacks
Data source: Forrester.com
Scheme title: The state of the industrial cybersecurity market
Data source:
MarketsandMarkets.com
| The healthcare and life sciences industries are expected to dominate the industrial cyber security market because of the growing digitization of health services and the urgent requirement to safeguard private patient data. |
|---|
Scheme title: The state of 5G in healthcare market
Data source: Grand View
Research.com
| By 2027, the use of intelligent device-based drug delivery systems will triple due to evolving patient expectations and home care programs. | |
|---|---|
| By 2026, 40% of businesses in the life sciences will use integrated solutions that combine digital health platforms and connected medical equipment. | |
| The IoT in the healthcare market’s Wi-Fi segment is expected to grow at the fastest rate between 2024 and 2031, outpacing other connectivity options like Bluetooth and cellular ones. |
Our services
Healthcare IoT consulting
Our experts help define a successful IoT adoption strategy based on healthcare organizations’ tech capabilities and requirements, elaborate a project roadmap aligned with their vision and budget, and assist throughout the whole cycle of IoMT implementation.
Medical device software development
We engineer custom software for medical devices that is compliant with healthcare-specific regulations like IEC 62304, HIPAA, and FDA, integrating it with existing systems and third-party tools and providing ongoing support and optimization services upon request.
Healthcare software development
Our developers create robust, user-friendly SaaS, web, and mobile apps including patient portals, medical image analysis software, and EHRs that seamlessly integrate with healthcare IoT devices to process data from smart gadgets and equipment and provide a comprehensive view of patient information.
Healthcare data analytics
Our IoT experts deliver custom healthcare data analytics solutions to process high volumes of data generated from wearable devices and other IoT tools, integrate AI and ML for predictive analysis and medical image processing, and build custom data visuals for healthcare providers to interpret the data.
Bringing connectivity into your hospital
The Internet of Medical Things encompasses medical gadgets, automatically collecting health metrics like heart rate, blood pressure, temperature, and more from patients, equipment, and facilities, as well as the software and functionality needed to operate these devices. Itransition has vast experience with the biggest IoMT-enabling platforms, all classes of medical devices, and the development of all kinds of medical software to deliver the most innovative IoT solutions for healthcare providers.
Provide innovative health care with the help of IoMT
FAQs
The Internet of Medical Things allows healthcare professionals to monitor patients’ vital signs remotely, gauge equipment state for malfunctions, and find the required assets faster. For patients, IoMT offers continuous monitoring, alerting, and medication dispensing capabilities, improving the quality of life and providing essential information about their health and the required measures to prevent diseases and complications.
For an IoMT project to succeed, adopters must follow healthcare industry best practices:
- Involving actual users of IoMT devices and software into the implementation process to take into account their opinions
- Ensuring data security and compliance by embedding relevant cybersecurity features in products
- Monitoring and improving the IoMT ecosystem performance and security after its implementation
- Updating the IoT system in line with evolving business needs
IoT solutions work well with various hardware, including smart robots, such as vacuums, diagnostic robo-pills, medication delivery robots, and robotic surgeons, as well as AR/VR devices to help surgeons perform precise operations and assist patients with faster rehabilitation. IoT can also be enhanced with AI, ML, cloud computing, big data analytics, and 5G networks.
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