Interested in equitable healthcare AI and tahini-based dips
Research into how resistance emerges, spreads and can be prevented is vital. Our group works to understand these processes and develop better tools to detect, monitor and combat antimicrobial resistance.
#WAAW @oxfordbrc.bsky.social
Research into how resistance emerges, spreads and can be prevented is vital. Our group works to understand these processes and develop better tools to detect, monitor and combat antimicrobial resistance.
#WAAW @oxfordbrc.bsky.social
Research shows models will comply with illogical medical requests, generating false information. This sycophantic tendency can be corrected with specific prompting and fine-tuning. #MedSky #MedAI #MLSky
#MedSky
https://ja.ma/43MpHvd
#MedSky
https://ja.ma/43MpHvd
— Atul Butte, MD, PHD, FACMI
2024 Morris F. Collen Award Winner
— Atul Butte, MD, PHD, FACMI
2024 Morris F. Collen Award Winner
pubmed.ncbi.nlm.nih.gov/40345937/
#MedicalAI #MedSky #MLSky #DigitalHealth #AIinHealthcare
pubmed.ncbi.nlm.nih.gov/40345937/
#MedicalAI #MedSky #MLSky #DigitalHealth #AIinHealthcare
#MedicalAI #MedSky #FOAMed #digitalhealth
#MedicalAI #MedSky #FOAMed #digitalhealth
https://propub.li/43487Tj
https://propub.li/43487Tj
#MedicalAI #digitalhealth #MedSky #AI
ai.nejm.org/doi/full/10....
#MedicalAI #digitalhealth #MedSky #AI
ai.nejm.org/doi/full/10....
#MLSky #digitalhealth #AI
#MLSky #digitalhealth #AI
TLDR: #Algorithmicbias runs deep
#MedSky #MLSky #digitalhealth #healthequity
arxiv.org/abs/2410.16574
TLDR: #Algorithmicbias runs deep
#MedSky #MLSky #digitalhealth #healthequity
arxiv.org/abs/2410.16574
www.nature.com/articles/s41...
www.nature.com/articles/s41...
#MedSky #MLSky #algorithmicbias #healthcareAI
#MedSky #MLSky #healthcareAI #MedEd #healthequity
podcasts.apple.com/au/podcast/e...
#MedSky #MLSky #algorithmicbias #healthcareAI
#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
ai.nejm.org/doi/full/10....
#MedSky #MLSky #algorithmicbias #healthcareAI #healthequity
ai.nejm.org/doi/full/10....
academic.oup.com/jamiaopen/ar...
Get TRIPOD+AI from www.bmj.com/content/385/...
#MLSky #StatsSky #MedSky
academic.oup.com/jamiaopen/ar...
Get TRIPOD+AI from www.bmj.com/content/385/...
#MLSky #StatsSky #MedSky
@thelancet.bsky.social
www.thelancet.com/journals/lan...
@thelancet.bsky.social
www.thelancet.com/journals/lan...
#MLSky #MedSky #MedEd #Podcast
#MedSky #MLSky #HealthcareAI #MedicalInformatics
podcasts.apple.com/au/podcast/m...
#MLSky #MedSky #MedEd #Podcast
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Rules and interpretation of tests were too rigid for lung Tx patient, long after IPC threat had passed.
Authors @priyagargiddoc.bsky.social @alyssapradhan.bsky.social et al offer some solutions!
onlinelibrary.wiley.com/doi/10.5694/...
Rules and interpretation of tests were too rigid for lung Tx patient, long after IPC threat had passed.
Authors @priyagargiddoc.bsky.social @alyssapradhan.bsky.social et al offer some solutions!
nature.com/articles/s42...
nature.com/articles/s42...
www.hhs.gov/about/news/2...
#IDSky #TxID #Medsky
www.hhs.gov/about/news/2...
#IDSky #TxID #Medsky
FYI, E. coli, Klebsiella, Enterococcus, and CoNS made up > 70% of organisms.
By pathogen breakdown of risk difference emphasizes applicability of these results for GN bacteremia.
FYI, E. coli, Klebsiella, Enterococcus, and CoNS made up > 70% of organisms.
By pathogen breakdown of risk difference emphasizes applicability of these results for GN bacteremia.