Description

In healthcare, Artificial Intelligence (AI) and Machine Learning (ML) are used to assist in diagnostics and identify small anomalies in data trends. They can better triangulate diagnoses from a patient's symptoms and vitals. This will empower doctors and patients to administer pre-programmed, remedial actions to rectify their health situations to a much greater extent than currently possible. This is a 2-hour seminar presented by IT, assisted by Professor Atif Shamim's lab, on how AI processes data collected by health sensors. This seminar will make attendees aware of the powerful analytical and predictive capabilities of AI. It will demonstrate anomalies in health patterns can be detected to predict health issues before they arise and provide medical solutions. It will show how doctors can monitor and remotely treat various patient conditions. We will also discuss data trends, training models, and how ML works on large datasets.