@venturebeat.com 2 years ago
AI tool offers cure for scattered medical data
@INM7_ISN 2 years ago
Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu
@Primary_Immune 3 years ago
🧬 A beautiful, recent genomic sequencing study in a "medically-complex" cohort of 138 pediatric patients - novel variants - ultra-rare DXs - 31% diagnostic yield (!) https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2770753 #snrtg #rstats #bioinformatics #openscience #datascience #genomics #raredisease https://t.co/x6ppeM7GRo
@SwissCognitive 5 years ago
#ArtificialIntelligence #AI will inevitably converge with #medicine, yet how and where it will yield the greatest impact remains to be seen. If wielded wisely, #MachineLearning and other related forms of AI may prove to be the lifeline #HealthCare needs. http://ow.ly/1sbB30nLQRw
@venturebeat.com 6 years ago
AI could help reduce the administrative costs of health care