Artificial Intelligence in Medicine Seminar Series Presentation:
Unorthodox AI and machine learning use cases and future of clinical medicine
Date: Thursday, September 5th, 2019
Time: 4:00 - 5:00 pm
Pratik Shah, Ph.D.
Future of biological research and clinical medicine is on verge of a major transformation due to convergence of large new digital data sources, computing power to identify clinically meaningful patterns in data using efficient artificial intelligence and machine-learning algorithms, and regulators embracing this change through new collaborations. This talk shares insights, challenges and examples for infusing actionable computational evidence into healthcare from academy, biotechnology industry, nonprofit foundations, regulators, and technology corporations. Analysis and learning from retrospective, prospective and unorthodox (social media, wearables), clinical trial and electronic health records by machine-learning architectures are outlined. Strategies for modernizing the clinical development and medical care process by integration of AI- and ML-based digital methods and secure computing technologies through recently announced regulatory pathways at the United States Food and Drug Administration will be discussed. We conclude by discussing applications and impact of digital algorithmic evidence to help physicians and improve medical care for patients.