Opportunities for digital health technology: identifying unmet needs for bipolar misdiagnosis and depression care management.

Sarah M Kark¹, Michelle A Worthington², Richard H Christie¹, Aaron J Masino^1,3

¹AiCure, New York, NY, United States.

²Department of Psychology, Yale University, New Haven, CT, United States.

³Department of Biostatistics, Epidemiology, and Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

PubMed PMC DOI PDF

Abstract

INTRODUCTION: Digital health technologies (DHTs) driven by artificial intelligence applications, particularly those including predictive models derived with machine learning methods, have garnered substantial attention and financial investment in recent years. Yet, there is little evidence of widespread adoption and scant proof of gains in patient health outcomes. One factor of this paradox is the…

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