The Challenges and Benefits of Generative AI in Health Care; Harvard Business Review, January 17, 2024

Harvard Business Review, Azeem Azhar's Exponential View / Season 6, Episode 58; The Challenges and Benefits of Generative AI in Health Care

"Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape.

Generative AI has a lot to offer health care professionals and medical scientists. This week, Azeem speaks with renowned cardiologist, scientist, and author Eric Topol about the change he’s observed among his colleagues in the last two years, as generative AI developments have accelerated in medicine.

They discuss:

• The challenges and benefits of AI in health care.
• The pros and cons of different open-source and closed-source models for health care use.
• The medical technology that has been even more transformative than AI in the past year."

Artificial Intelligence and COVID-19: How Technology Can Understand, Track, and Improve Health Outcomes; Stanford University, April 2, 2020

Shana Lynch, Stanford University; Artificial Intelligence and COVID-19: How Technology Can Understand, Track, and Improve Health Outcomes

"On April 1, nearly 30 artificial intelligence (AI) researchers and experts met virtually to discuss ways AI can help understand COVID-19 and potentially mitigate the disease and developing public health crisis.

COVID-19 and AI: A Virtual Conference, hosted by the Stanford Institute for Human-Centered Artificial Intelligence, brought together Stanford faculty across medicine, computer science, and humanities; politicians, startup founders, and researchers from universities across the United States.

“In these trying times, I am especially inspired by the eagerness and diligence of scientists, clinicians, mathematicians, engineers, and social scientists around the world that are coming together to combat this pandemic,” Fei-Fei Li, Denning Family Co-Director of Stanford HAI, told the live audience.

Here are the top-line takeaways from the day. Visit HAI’s website for more in-depth coverage or watch the full conference video."

Patenting the Future of Medicine: The Intersection of Patent Law and Artificial Intelligence in Medicine; Lexology, February 14, 2018

Finnegan, Henderson, Farabow, Garrett & Dunner LLP - Susan Y. Tull, Lexology; Patenting the Future of Medicine: The Intersection of Patent Law and Artificial Intelligence in Medicine

"Artificial intelligence (AI) is rapidly transforming the world of medicine, and the intellectual property directed to these inventions must keep pace. AI computers are diagnosing medical conditions and disorders at a rate equal to or better than their human peers, all while developing their own software code and algorithms to do so. These recent advances raise issues of patentability, inventorship, and ownership as machine-based learning evolves."