Artificial intelligence enables researchers and manufacturers to improve the quality of life.
Artificial intelligence is a boon to the healthcare industry. From diagnostics to surgery and medical devices, AI is supporting the healing process of many human lives. The medical device industry is part of the $3 trillion U.S. healthcare industry, and researchers and manufacturers are integrating automation through AI. There are multiple AI and automation use cases in the medical device industry. Companies are using machine learning to monitor patients using sensors and automate drug delivery through connected apps, integrating AI-powered platforms into medical scanning devices to improve image and screening clarity, and leveraging the Internet of Things 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 is a condition caused by progressively elevated blood sugar levels. Normally, insulin is a hormone produced by the pancreas that transfers glucose to cells, which then produce energy. But insufficient insulin production can lead to uncontrolled blood sugar levels. Artificial intelligence can help people with diabetes manage their condition to improve their quality of life. Medical device company Medtronic has created Sugar, a mobile personal assistant powered by IBM Watson. The app will test insights related to glucose patterns in real time, help patients follow an appropriate diet, and track insights related to food and diet.
Medical imaging devices need to be modernized and adhere to current modern technologies. GEHealthcare and NVIDIA announced that they will transform the medical device industry on a global scale. Their decade-long partnership will lead to artificial intelligence to improve the speed and accuracy of computed tomography (CT) scans. Artificial intelligence enables algorithms to restructure small patterns of organ damage that doctors can easily miss. Identifying these finer details will help make faster and more accurate diagnoses.
Device manufacturers and researchers are keen to develop wearable technologies to reap multiple benefits. So far, wearable technologies have faced challenges in terms of reliability and effectiveness. Philips Healthcare’s IntelliVueGuardian solution combined with AI to correct discrepancies is a patient monitoring system capable of predicting life-threatening crises. Its early warning system is a combination of software, clinical support algorithms and mobile connectivity for wearable devices.
The system has the potential to be used for a broader range of use cases. A physician can place a wireless device with embedded sensors on a person’s wrist to track blood pressure signals. Philips’ technology solution uses machine learning to detect any significant changes in a patient’s body, and the algorithm is trained to recognize similar conditions. If the identity changes, the data is transmitted to an IntelliVue monitor or wearable device to notify the physician.
Researchers are looking for accurate and effective ways to use artificial intelligence to make medical devices reliable and automated. While medical imaging is an increasingly popular field, clinically approved wearable devices are the focus of the future. Experts are also focused on using AI to eliminate major patient-related challenges, such as adherence to medical treatment. Artificial intelligence will help physicians and healthcare professionals shift the responsibility of medical adherence from patients to reliable automated medical devices, which will help significantly improve quality of life.