Artificial Intelligence in Health Care: Promise and Pitfalls

Clinicians, researchers, and educators at Duke University School of Medicine and across Duke Health are using artificial intelligence (AI) to schedule surgeries more efficiently, give students immediate feedback on academic writing, and help speed up drug discovery. Duke is at the leading edge of efforts to maximize the benefits of AI in health care while putting effective guardrails in place to minimize potential risks. “We have a huge potential to reduce physician burden, increase health care efficiency, and improve the patient experience,” said Michael Pencina, PhD, director of Duke AI Health and chief data scientist for Duke Health. “But we need to be very intentional about what AI will be doing.”

AI's future is packed with promise and potential pitfalls

Duke University School of Medicine on LinkedIn: DukeMed Alumni News, Fall 2023

Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions

ActivSurgical (@ActivSurgical) / X

2020 Emerging Leader Lejla Vajzovic, MD, HS'11-'13

The Promises and Pitfalls of AI in Medicine with ChatGPT

How AI Is Improving Diagnostics, Decision-Making and Care

Ambient artificial intelligence technology to assist Stanford Medicine clinicians with taking notes, News Center

Activ Surgical on LinkedIn: #activsight #marketing #medtech #digitalsurgery

Artificial Intelligence in Health Care: Promise and Pitfalls

The promise and challenges of relying on AI for drug development

Balancing the Promise and Pitfalls of AI in Healthcare: A Patient-Centric Perspective

Seanna Horan on LinkedIn: For Paul Wischmeyer, Patient Advocacy Is Personal

PSB 3842 : Sleep & Dreams - UCF

The promise—and pitfalls—of medical AI headed our way