[#Article] #AI and #health: @ScientaLab raises 4 million euros to redefine precision immunology https://actuia.com/actualite/ia-et-sante-scienta-lab-leve-4-millions-deuros-pour-redefinir-limmunologie-de-precision/
… #artificialintelligence
HEALTHCARE AI
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ScientaLab Raises 4 Million Euros for Precision Immunology
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Ethical Review Process for AI in Medicine Emphasized
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Scholars including HAI faculty affiliates @MichelleM_Mello and @drnigam underscore the importance of an ethical review process of AI in medicine in a commentary on @JAMA_current
. @StanfordHP @StanfordMed -
Fine-tuning CLIP Model for Medical Image Search Applications
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GitHub – elsevierlabs-os/clip-image-search: Fine-tuning OpenAI CLIP Model for Image Search on medical images https://
bit.ly/3t56nd2
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI in Healthcare: Challenges and Applications Presentation
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@MakarandTapaswi
, our Senior Machine Learning Scientist, led a presentation on the application of artificial intelligence in healthcare and the associated challenges, at the AEye Summit hosted at the LV Prasad Eye Institute in Hyderabad. #digitalhealth #MachineLearning -
Medical Billing Chaos: Insurance Negotiation Reality
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Medical billing is best conceived of as an improv exercise more than a bastion of finance. “You have to pay $750 for an exam.”
“Yes and I have insurance so I only pay $80 co-pay.”
“Yes and the negotiated rate for your insurer is $300.”
“Yes and the best I can do is $120.” -
AI in Healthcare Study: Perceptions of Doctors and French Citizens
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[#Article] The Healthcare Data Institute shares the results of its #studies on the vision of #AI in #healthcare among doctors and French people Knowledge and use of AI tools Perception of AI's contribution to the healthcare sector #artificialintelligence
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Machine Learning for Health Symposium Proceedings Volume 225 Released
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Volume 225 The Proceedings of the 3rd Machine Learning for Health Symposium https://
proceedings.mlr.press/v225/ Is now available on PMLR. -
AI Race Prediction in Healthcare: Opportunities and Pitfalls
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What happens when AI can predict the race or ethnicity of patients? HAI faculty affiliate @james_y_zou explains the many ways we could get it right or wrong.
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Global AI race reshapes security, wealth inequality, and human progress
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The global race to dominate AI has far-reaching implications for worldwide security and wealth inequality. In a @SIEPR forum, @erikbryn
, and @drfeifei discussed AI’s potential to cure cancer, supercharge education, and tackle climate change. -
GPT-4 with good prompts beats fine-tuned Med-PaLM 2
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Is prompt engineering dead? No, it’s SoTA. GPT-4 with good prompts (dynamic k-shot + self-generated CoT + choice-shuffled ensembles) beats Med-PaLM 2 on all nine of the MultiMedQA benchmarks it was fine-tuned for, without fine-tuning: