An Explainable Artificial Intelligence Software Tool for Weight Management Experts (PRIMO): Mixed Methods Study

• Published in: Journal of medical Internet research Vol. 25; no. Suppl 1; p. e42047
• Main Authors: Fernandes, Glenn J, Choi, Arthur, Schauer, Jacob Michael, Pfammatter, Angela F, Spring, Bonnie J, Darwiche, Adnan, Alshurafa, Nabil I
• Format: Journal Article
• Language: English
• Published: Toronto Journal of Medical Internet Research 06.09.2023; Gunther Eysenbach MD MPH, Associate Professor; JMIR Publications
• Subjects: Accuracy; Algorithms; Artificial intelligence; Clinical decision making; Comparative analysis; Computer software industry; Decision making; Design; Diet; Experts; Health behavior; Intervention; Interviews; Management development programmes; Methods; Original Paper; Principles; Prognosis; Rankings; Software; Subject specialists; Treatment programs; Uncertainty; Understanding; Visualization; Weight control; Weight loss

Predicting the likelihood of success of weight loss interventions using machine learning (ML) models may enhance intervention effectiveness by enabling timely and dynamic modification of intervention components for nonresponders to treatment. However, a lack of understanding and trust in these ML mo...