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SUSTAINABLE ALGORITHMS FOR GENERALIZABLE AND EFFECTIVE (SAGE) LEARNING PREDICTION SYSTEMS THAT DELIVER ON THE PROMISE OF AI FOR ALL PATIENTS AND COMMUNITIES - PROJECT SUMMARY / ABSTRACT TEMPORAL CHANGES IN CLINICAL PRACT

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SUSTAINABLE ALGORITHMS FOR GENERALIZABLE AND EFFECTIVE (SAGE) LEARNING PREDICTION SYSTEMS THAT DELIVER ON THE PROMISE OF AI FOR ALL PATIENTS AND COMMUNITIES - PROJECT SUMMARY / ABSTRACT TEMPORAL CHANGES IN CLINICAL PRACTICE, PATIENT POPULATIONS, AND INFORMATION SYSTEMS DEGRADE PERFORMANCE OF ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML) MODELS. LACK OF MODEL GENERALIZABILITY ACROSS PATIENT CONTEXTS—BE THEY CLINICAL, GEOGRAPHIC, OR SOCIODEMOGRAPHIC—CREATES PERFORMANCE GAPS THAT CAN LEAD TO DIFFERENCES IN ACCESS TO CARE AND UNEVENLY DISTRIBUTE ALGORITHMIC BENEFITS. FAILING TO PROACTIVEL

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recordType

award

region

US

value

1575000

unit

USD