Artificial intelligence is increasingly being applied in health care after more than 50 years of development. @moorejh wrote in @sciam that the ability for people to understand how AI comes to its analyses is key to greater expansion in the medical field. http://spr.ly/6019yiwMU
The Penn Medicine Center for Applied Health Informatics will advance the performance of Penn Medicine health system by providing real-time, actionable data to decision makers, while creating and showcasing applied informatics models that can be replicated beyond Penn Medicine.
My op-ed on "The Question Medical AI Can’t Answer" is out in Scientific American @sciam https://www.scientificamerican.com/article/the-question-medical-ai-can-rsquo-t-answer/ #informatics #artificialintelligence #healthit
Deep-LIBRA: Quantitative #breastdensity estimation meets #ArtificialIntelligence in our new paper in #MedIA, introducing Deep-LIBRA with independent validation in #breastcancerrisk assessment! @PennRadiology @CBICAannounce @UPennIBI @MayoClinic https://www.sciencedirect.com/science/article/pii/S1361841521001845
“...instead of the radiologist providing the only read of an image, an [AI] can provide an initial read of the image, with the radiologist providing a subsequent secondary read. Once this becomes a standard of care...the potential liability burden...less on the individual...” https://twitter.com/PennMEHP/status/1415309163010342921
New @PennMedicine research sheds light on the genetic basis of the relationship between lipids & diseases (with implications for future prevention & treatment strategies) ft. @sudhaveturi & @MarylynRitchie (@PennGenetics/ @PennPrecisMed/ @UPennIBI) https://bit.ly/3dDj4kh
RT @BMIRPodcast Our 16th episode has dropped! We discuss a non-profit promoting change in how research is done. We also discuss methods for finding the motivation to write papers, grants, etc. #informatics #bioinformatics #podcast #bmipodcast