Jan. 15, 2024, 4:58 p.m. | /u/Zawadscki

Data Science www.reddit.com

Hi all, I think the following [blog post I wrote](https://open.substack.com/pub/mlinhealthcare/p/the-hard-truth-about-artificial-intelligence?r=7bxky&utm_campaign=post&utm_medium=web) may be helpful to a lot of people in this sub who work in the healthcare domain! Here's a quick blurb about the article.

AI in healthcare faces a critical issue: our obsession with cutting-edge technology often overshadows the actual impact on patients. Successfully bringing AI medical devices to market entails much more than excellent diagnostic performance; it requires rigorous clinical trials and comprehensive cost-effectiveness analyses. HeartFlow's AI-powered cardiac imaging …

ai medical ai-powered blog clinical clinical trials cost datascience devices diagnostic edge edge technology example healthcare imaging impact issue medical medical devices patients performance product technology

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston