Our validated natural language processing (#NLP) algorithm leverages #machinelearning to automate intraprocedural #colonoscopy #quality metrics. We successfully implemented the #NLP to measure #ADR @UCLAHealth. Results ⬇️. Thank you @drfolamay and Medical Informatics @dgsomucla https://twitter.com/trishajamesmba/status/1529100838496374785
Live from Chicago! At #RSNA21 - Yan Liu, Chief Medical Officer and @Benoit_Huet, director #AI and #datascience #ibiopsy presenting our latest #lungcancerscreening results at the #aitheater https://t.co/8vc1FJOXzV
Results published recently in Nature Medicine demonstrate that federated learning builds powerful AI models that generalize across healthcare institutions. #DataScience #FederatedLearning #Healthcare https://hubs.li/H0XF-170
Proud to be participating in the final #CAREresearch meeting. Presenting our results on genotypic prediction of tuberculosis drug resistance is @JHeyckendorf from @FZBorstel.🇪🇺🇷🇺 #CAREresearchHIVHepTB #MachineLearning #TuberculosisResearch #MedicalInformatics #PrecisionMedicine https://t.co/esZ11zSFVv
Kudos to the Michael J Fox Foundation on their support of the Digital Biomarker DREAM Challenge whose results just appeared in Nature Digital Medicine https://lnkd.in/d5HPCiS. A great example of how #machinelearning can help patients with #parkinsonsdisease ... https://t.co/FIKNqEU4VO
Biobot’s first publication!! Amazing collaboration with @PeterRchai and Tim Erickson from Harvard Medical School, to share our results analyzing the use of opioids in cities through sewage analysis. #publichealth #datascience https://twitter.com/peterrchai/status/1215671984689795073