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Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study

The difference among Q&A, MID, and QI (combination of Q&A and MID) is significant in binary sensitivity (P=.02), with a large effect (ε2=0.47). The differences in binary AUC and extent accuracy are close to significant (P=.07 and P=.09, respectively), with large effects (ε2=0.26 and ε2=0.23, respectively). The differences in binary specificity and binary accuracy were not significant and exhibited small effects.

Donghao Chen, Pengfei Wang, Xiaolong Zhang, Runqi Qiao, Nanxi Li, Xiaodong Zhang, Honggang Zhang, Gang Wang

JMIR Form Res 2025;9:e56057

Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study

Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study

Chen et al [21] reported a higher alert rate of 3.12% and a lower acceptance rate of 48.88% over 2 years, with only 28.08% of accepted alerts leading to actual prescription changes. This lower modification rate may reflect the broader definition of acceptance used in their study, which included mere acknowledgment of alerts, as well as the absence of embedded diagnostic recommendations that directly address diagnostic omissions.

Yu-Chen Liu, Guan-Ling Lin, Jeremiah Scholl, Yi-Chun Hung, Yu-Jing Lin, Yu-Chuan Li, Hsuan-Chia Yang

J Med Internet Res 2025;27:e70731