This online short course from MIT Sloan School of Management and the MIT J-Clinic is designed for health care leaders to understand the transformative potential of Artificial Intelligence (AI) in the health care industry. The course explores various AI technologies, their applications, limitations, and the opportunities they present. As patient data grows, AI offers efficient data processing capabilities that surpass human capacity, leading to innovations in areas like cancer treatment, patient care, and risk prediction. You will gain a comprehensive understanding of AI's role in health care through real-world case studies. The program guides you in evaluating AI techniques for your specific context, examining adoption challenges in hospital processes and resource management. Learn from MIT faculty and health care experts about AI's use in diagnosis, patient monitoring, and data management, and develop a framework for assessing AI viability in your health care setting.
The course is structured over six weeks, with each module released weekly, allowing for a flexible yet structured learning experience. The recommended weekly time commitment for core content is 4-5 hours, with an additional 2-3 hours for optional extension activities.
The tuition fee is $3,250.
The tuition fee for this program is USD $3,250.
This is a 6-week online short course.
The recommended weekly time commitment is 4-5 hours for core content, with an additional 2-3 hours for optional activities.
The program is delivered online and is self-paced.
This course is designed for health care leaders in both business and medical roles to understand the potential of AI in the health care industry.