Biomedical Informatics: A field that uses technology, such as AI, and data to improve health outcomes. It combines the fields of computer science, information science, and medicine.

Clinical Decision Support Systems (CDSS): A health IT system that provides healthcare professionals with patient-specific recommendations and knowledge.

ECG Device: ECG, or electrocardiogram, is a medical tool used to monitor a heart’s electrical activity. Some of these devices now use AI to help analyze the data. This helps detect heart problems more accurately and quickly, providing real-time insights and support for diagnosing and monitoring heart conditions.

Electronic Health Records (EHR): Digital versions of patients' medical histories. AI is analyzing these records to provide insights and improve patient care.

Glucose Monitor: Some glucose monitors are now powered by AI. This means that the device uses smart technology to track and analyze blood sugar levels continuously. It collects data through a sensor on the skin and uses AI to provide real-time insights, alerts for high or low blood sugar, and trends over time. This helps people with diabetes manage their condition more effectively.

Health Information Exchange (HIE): The electronic sharing of patients’ medical information between healthcare organizations. AI is helping with the data integration and analysis of the health records.

Health Tracker: Health trackers, also known as fitness trackers or wearable devices, help monitor a person’s health and fitness. They use sensors to track steps, distance, calories, heart rate, sleep, and more. They come in the forms of wristbands or smartwatches. AI driven health trackers analyze the data from the sensors and provide advanced insights to users and personalized recommendations for their health.

Interoperability: The ability of different technology systems and software applications to communicate, exchange data, and use the information efficiently. This is now often supported by AI for better integration and analysis.

mHealth (Mobile Health): The practice of medicine and public health supported by mobile devices (and now often AI applications) to monitor and manage health conditions.

Medical Imaging: Pictures of the inside of your body taken by tools such as X-rays, CT scans, or MRIs. AI is now helping doctors review the images and detect any issues more quickly.

Precision Medicine: Customizing medical care to fit each patient's unique characteristics and needs. AI is helping make medical care even more tailored.

Predictive Health Analytics: Using AI and statistical methods to analyze historical healthcare data to predict future health outcomes, such as disease outbreaks.

Telemedicine: Using video calls and other online tools to provide medical care and services remotely. AI is enhancing the field of telemedicine.