Where AI Meets Medicine On Crossroads [with Prof. Amina Qutub]

Having distinguished Prof. Amina A. QUTUB for interview is a dream of many Tech podcasters (or it certainly should be). As only few people have both the vision to see where AI is heading and the hands-on expertise to push those breakthroughs into the real life of clinics and hospitals.

Her work is on intersection of high-end, expert Biology and Computational Systems and even both ways: With her team she not only builds models that replicate human brain BUT ALSO uses these insights to gear "regular" AI (as we all know it from LLMs) to save lives in Emergency Rooms and help Clinicians to stay On-Top-Of-The-Game even in long shifts.

Thus, talking to someone, who's inventions can literally save your own life in future made this discussion so eye-opening and awesome at the same time. With David, we definitely took a chance to address the AI + Medicine combo from several angles and got from Dr. Qutub handful of insights nuggets.

So, go ahead & explore all chapters of this great interview:

01:50 Patterns of Communication, From Molecules to Humans

02:40 Where To Look For AI Start-Up Inspiration In Medicine

04:55 Turing Test in Medical AI Would Need to Include Smell and Taste

06:56 Combining Many Clinicians On Top Of Their Game

09:15 Accessibility Paves The AI Adoption (and hence hinders Medical AI)

11:24 In Full Emergency Room AI Split-second Decision Really Helps

16:35 Originally Deep Learning Inspired By Brain, But Where Do We Go Now

20:35 Is There Hope For Humanity To Merge Bio Brain Efficiency With AI

26:08 Building AI That Does Not Hurt Or Kill

29:34 How Do AI Scientists Choose (from ever changing) Top AI Models

32:05 Where Can/Should We Augment Humans With AI (and where to stop in it)

35:50 Launching AI Is Not Like Introducing Penicillin

38:19 Humble Self-Regulation (In Times Where Regulators Not Fully Grasp AI Principles)

41:30 AI Is Useful Even In My Private Life, But I Miss ...

44:16 What If We Invest Into Creating Super-Humans ?

Amina Ann Qutub, PhD is the Burzik Professor of Engineering Design and Associate Professor of Biomedical Engineering at the University of Texas, San Antonio. She serves as the Assistant Director of Strategic Alliances for the MATRIX AI Consortium and a research thrust lead for the Augmenting Human Performance thrust. Dr. Qutub is also the Director of the UTSA – UT Health San Antonio Graduate Group in Biomedical Engineering and co-lead of the Center for Precision Medicine. Dr. Qutub is pioneering methods at the interface of computer science, biology and engineering to study the design of human cells, and help eradicate diseases affecting cells of the brain and vasculature. In new translational work, Dr. Qutub is co-lead (with Drs. Brian Eastridge, MD, UTHSCSA and Alan Cook, MD, UTTyler) of the iRemedyACT project to develop AI tools that can minimize time to treatment and optimize care for trauma patients.