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Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Profile accuracy: H=high, M=medium, L=low. AUC: area under the curve; M: mixed; N: negative; P: positive; TPR: true-positive rate; TNR: true-negative rate. The above summary (Figure 2) presents results for all pilot study patients to show performance and overall results. However, the individual prognostic patient profile as used in IMPT clinical assessment provides clearly presented summary results for each patient.

Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

JMIR Rehabil Assist Technol 2025;12:e65890

Perceptions Toward an Attentional Bias Modification Mobile Game Among Individuals With Low Socioeconomic Status Who Smoke: Qualitative Study

Perceptions Toward an Attentional Bias Modification Mobile Game Among Individuals With Low Socioeconomic Status Who Smoke: Qualitative Study

Hedonic motivation referred to "perceived fun, pleasure, or enjoyment (or lack thereof) associated with the use of mobile applications and their features". (4) Performance expectancy referred to "perceived usefulness or helpfulness of smoking cessation mobile applications and their features in achieving desired health goals and behaviors". (5) Social influence referred to "perceived importance of significant others' recommendations and approval of using mobile applications and their features" [33,46,47, Wakeman M

Michael Wakeman, Lydia Tesfaye, Gunnar Baskin, Tim Gregory, Greg Gruse, Erin Leahy, Brandon Kendrick, Sherine El-Toukhy

JMIR Serious Games 2025;13:e59515