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AI is a boon to the medical and healthcare industry. Right from diagnostics to surgeries and medical equipment, artificial intelligence is supporting the healing processes of many human lives. The medical device sector is a part of the US$3 trillion healthcare industry in the United States, where researchers and manufacturers are incorporating automation through AI. There are several use cases for AI and automation in the medical device industry. Companies are using machine learning to monitor patients using sensors and automating medicine delivery via connected apps, integrating AI-driven platforms in medical scanning devices to improve the clarity of images and screening, and utilizing IoT to improve patient monitoring and clinical outcomes.
In 2021, these are the emerging applications of AI in the medical device industry.
Diabetes is a common lifestyle disease that affects approximately 30.3 million Americans. It's a condition that is caused by a gradual, high level of blood glucose. Normally, Insulin, a hormone produced by the pancreas enables the transfer of glucose into the cells which then generates energy. But lack of insulin production leads to uncontrolled glucose levels. Artificial intelligence can help diabetic patients manage their condition for a better quality of life. Medtronic, a medical device company, created Sugar. IQ. It is a mobile personal assistant powered by IBM Watson. The app will be tested for insights associated with glucose patterns in real-time, help patients follow a proper diet, and track food and diet-related insights.
Medical imaging devices are in need of modernization, adhering to the current modern technologies. GE Healthcare and NVIDIA have announced that they will transform the medical device sector on a global scale. Their decade-long partnership will result in AI improving the speed and accuracy of computerized tomography (CT) scans. AI is enabling algorithms to reorganize small patterns of organ damage that can be easily missed out by a physician. Identifying these finer details will help diagnosis become faster and accurate.
Device manufacturers and researchers are keen to develop wearable technologies for several benefits. Until now, wearable tech faced challenges when it came to reliability and validity. Incorporating AI to correct the discrepancies, Philips Healthcare's IntelliVue Guardian Solution is a patient monitoring system that has the capability to predict life-threatening crises. Its Early Warning System is a combination of software, clinical support algorithms, and mobile connectivity, apt for wearable devices.
This system holds the potential for a wider use case. A doctor can place a cableless device embedded with sensors in a person's wrist to track blood pressure signs. Philips' tech solution uses machine learning to detect any significant changes in the patient's body based on the algorithm is used to train to identify similar conditions. If a change in identifies, the data would be transferred to IntelliVue monitors or wearable devices to notify doctors.
Researchers are finding accurate and effective ways to make medical devices reliable and automated using artificial intelligence. While medical imaging is an area that is gaining traction, clinically approved wearable devices are the focus for the future. Experts are also focussing on eliminating major patient-related challenges using AI, like adherence to medical treatments. Artificial intelligence will help doctors and medical professionals shift the onus of medical adherence from the patient to a reliable, automated medical device that will help in significantly improving the quality of life.
