AI in medical devices – Four emerging industry applications


AI may be a bonus to the medical and healthcare industry. Right from diagnostics to surgeries and medical equipment, AI is supporting the healing processes of many human lives. The medical device sector may be a part of the US$3 trillion healthcare industry within us, where researchers and makers are incorporating automation through AI. There are several use cases for AI and automation within the medical device industry. Companies are utilizing machine learning to observe patients using sensors and automating medicine delivery via connected apps, integrating AI-driven platforms in medical scanning devices to reinforce the clarity of images and screening, and utilizing IoT to enhance patient monitoring and clinical outcomes.

In the year 2021, stated below are the emerging applications of AI within the medical device industry.

1. Diabetes Management

Diabetes may be a household lifestyle disease that affects approximately 30.3 million Americans. It’s a condition that’s caused by a gradual, high level of blood sugar. Normally, Insulin, a hormone produced by the pancreas allows the transfer of glucose into the cells which then initiates energy. But lack of insulin production results in uncontrolled glucose levels. Artificial intelligence can assist diabetic patients to manage their condition for a far better quality of life. Medtronic, a medical device firm, created Sugar. IQ. It is a mobile personal assistant powered by IBM Watson. The app is going to be tested for insights related to glucose patterns in real-time, help patients follow a correct diet, and track food and diet-related insights.

2. Medical Imaging

Medical imaging devices need modernization, adhering to the present modern technologies. GE Healthcare and NVIDIA have announced that they’re going to transform the medical device sector on a worldwide scale. Their decade-long partnership will end in AI improving the speed and accuracy of computed tomography (CT) scans. AI is enabling algorithms to reorganize small patterns of organ damage which will be easily omitted by a physician. Identifying these finer data will help diagnosis become accurate and faster.

3. Wearable Technology

Device manufacturers very are keen to advance wearable technologies for several benefits. Until now, wearable tech faced difficulties when it came to reliability and validity. Incorporating AI to correct the discrepancies, Philips Healthcare’s IntelliVue Guardian Solution may be a patient screening system that has the potential to forecast life-threatening crises. Its Early Warning System may be a combination of software, clinical support algorithms, and mobile connectivity, apt for wearable devices.

This system holds the potential for an extensive use case. A doctor can place a cableless device embedded with sensors during a person’s wrist to trace vital sign signs. Philips’ tech solution uses machine learning to detect any significant changes within the patient’s body supported the algorithm is employed to coach to spot similar conditions. If a change in identifies, the info would be transferred to IntelliVue monitors or wearable devices to notify doctors.

4. Future Focus

Researchers are finding accurate and effective ways to form medical devices reliable and automatic using AI. While medical imaging is a neighborhood that’s gaining traction, clinically approved wearable devices are the main target for the longer term. Researchers also are focussing on eliminating major patient-related challenges using AI, like adherence to medical treatments. Artificial intelligence will assist doctors and medical professionals shift the onus of medical adherence from the patient to a reliable, automated medical device which can help in significantly improving the quality of life.

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