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New study aims to reduce bias in AI health prediction models

Rapid advances in Artificial Intelligence (AI) have opened the way for the creation of a huge range of new healthcare tools, but to ensure that these tools do not exacerbate preexisting health inequities, researchers urge the use of more representative data in their development.

United kingdomCathie sudlowSara khalidCentre for ethnic health researchScientist at health data research united kingdomConnectivity national core studyData science centreOxford university nuffield department of orthopaedicsUniversity college londonMusculoskeletal sciencesProfessor of health informaticsUniversity of oxfordBritish heart foundation data science centre kingdomHealth data research united kingdomArtificial intelligenceOxford university

Removing bias from healthcare AI tools | University of Oxford

Removing bias from healthcare AI tools | University of Oxford
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United kingdomCathie sudlowSara khalidMusculoskeletal sciencesOxford university nuffield department of orthopaedicsData science centreUniversity college londonHealth data research united kingdomScientist at health data research united kingdomBritish heart foundation data science centre kingdomCentre for ethnic health researchProfessor of health informaticsConnectivity national core studyOxford universityNuffield departmentEthnic health research

Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3 2 million first ascertained infections in England

Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3 2 million first ascertained infections in England
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United kingdomUnited statesCity ofRepublic of irelandAlvinag laiMae johnsonKatherine brownArturo gonzalez izquierdoHari krishnan kanthimathinathanChristopher tomlinsonPadmanabhan ramnarayanBilala mateenSebastian vollmerHarrison wildeDavid selbyDeepti gurdasani

Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales

Background: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a prothrombotic state, but long-term effects of COVID-19 on incidence of vascular diseases are unclea.

United kingdomCity ofWest midlandsUnited kingdom generalNorthern irelandDavey smithResearch unit in donor healthUniversity college londonInternational classification of diseasesDevelopment division welsh governmentUnited kingdom medical research councilBristol biomedical research centerDatabank at swansea universityEnglish trusted research environmentDigital healthScientist office