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Using Gesture and Speech to Control Surgical Lighting Systems: Mixed Methods Study

Using Gesture and Speech to Control Surgical Lighting Systems: Mixed Methods Study

The modules are arranged in a 7×8 grid with distances of 0.36×0.35 m and are controlled by a central computer that adjusts their intensity and orientation (Figure 8). To minimize shadows, the system uses geometry recognition of objects and personnel within the surgical area via 3 Kinect (version 2) [60] sensors, which are registered with each other and with the room. However, the automatic shadow prevention feature was disabled during the study.

Nima Zargham, Anke V Reinschluessel, Andre Mühlenbrock, Thomas Muender, Timur Cetin, Verena Nicole Uslar, Dirk Weyhe, Rainer Malaka, Tanja Döring

JMIR Hum Factors 2025;12:e70628

Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review

Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review

Data were analyzed in R using R version 4.3.2 (R Project for Statistical Computing). Summaries were computed for each study, including the country of publication, research method, and year of publication. Summary statistics were calculated for the length of studies in weeks and the follow-up length for studies that included a follow-up. Studies were labeled as including a follow-up if outcome measures were collected on any date after the poststudy outcomes were obtained.

Courtney Potts, Carmen Kealy, Jamie M McNulty, Alba Madrid-Cagigal, Thomas Wilson, Maurice D Mulvenna, Siobhan O'Neill, Gary Donohoe, Margaret M Barry

J Med Internet Res 2025;27:e72892

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