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Dr. Ziad Obermeyer argues that the best work in cross-disciplinary fields such as medical machine learning often arises when a single person acquires a deep understanding of both disciplines as opposed to two experts in separate fields being brought together.

NEJM AI

13,318 subscribers

15,417 Aufrufe • vor 2 Jahren •via X (Twitter)

Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

5 Kommentare

Profilbild von Jonathan H Chen MD PhD

Jonathan H Chen MD PhDvor 2 Jahren

@oziadias If you need to translate a document between English and Spanish, you could hire the best English speaker and Spanish writer and put them in a room and then... nothing would happen. Translation with knowledge and respect of multiple domains is itself a uniquely valuable skill.

Profilbild von Dr Prashanth |⚕️🤱 | 🎮👨‍💻|

Dr Prashanth |⚕️🤱 | 🎮👨‍💻|vor 2 Jahren

@oziadias Yea I always belive "Innovation is always at the intersection of fields" Having a knowledge on 2 fields is superpower and bring so many measurable changes to both fields

Profilbild von Felipe Kitamura

Felipe Kitamuravor 2 Jahren

@oziadias Terrific podcast!

Profilbild von Dennis Robert Nedumthakady

Dennis Robert Nedumthakadyvor 2 Jahren

@oziadias Used to believe in the "power" of multidiscipl. expertise. But with experience, it feels like its mostly impossible to be expert in mult. fields, esp. medicine&DS. Collab. is best, but collaborators need to have atleast a high-level knowledge of one field & expertise in the other

Profilbild von Minh Nguyen

Minh Nguyenvor 2 Jahren

@oziadias 🙌

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