INFO 5600

AI for Healthcare

Course Description

Course information provided by the 2025-2026 Catalog.

With the rise in the availability of clinical and behavioral data in the world, artificial intelligence (AI) is now increasingly applied in the field of healthcare. Researchers are working on using AI in different spheres of the healthcare process ranging from understanding of the human behavior, early diagnoses of medical conditions and even recommendations for personalized treatment procedures. Physicians are using machine learning algorithms on clinical images for early detection of cancer. Researchers have shown that smartphone sensor data can be used to detect events like opioid overdose and enable just-in-time interventions to save lives. Psychologists are mining data from social networks to detect mental health conditions. This project based course will introduce the students to these next generation AI based healthcare systems and will focus on the design and implementation of these systems for the real world.

Prerequisites REF-FA25/Corequisites REF-FA25 basic knowledge of machine learning, deep learning techniques and coding experience. Corequisites: None.

Enrollment Priority REF-FA25 Enrollment limited to: Cornell Tech students.

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