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Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

The p-values of the AUROC scores are presented in Multimedia Appendix 1. As P Data cleaning and cohort selection with descriptive analysis were conducted using Stata version 16.1 (Stata Corp). We used Python version 3.8.10, along with the Monai framework version 1.2.0 (NVIDIA) and Pytorch version 2.0.0 (Facebook) to develop the deep learning models. Additionally, the AUROC score and its 95% CI were calculated using Fast De Long implementation from VMAF (Video Multimethod Assessment Fusion; Netflix) [43].

Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

JMIR AI 2025;4:e67144

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

Association of Social Media Recruitment and Depression Among Racially and Ethnically Diverse Metabolic and Bariatric Surgery Candidates: Prospective Cohort Study

We performed all analyses using STATA (v.17.1, Stata Corp LP), with statistical significance set at a P value below 5%. Participant characteristics (N=380) stratified by recruitment method, social media (n=107), and nonsocial media (n=273) are presented in Table 1. Participants recruited through social media had a mean age of 47.27 (SD 1.02) years, whereas those in the nonsocial media group had a mean age of 47.38 (SD 0.73) years (P=.93).

Jackson M Francis, Sitapriya S Neti, Dhatri Polavarapu, Folefac Atem, Luyu Xie, Olivia Kapera, Matthew S Mathew, Elisa Marroquin, Carrie McAdams, Jeffrey Schellinger, Sophia Ngenge, Sachin Kukreja, Benjamin E Schneider, Jaime P Almandoz, Sarah E Messiah

JMIR Form Res 2025;9:e58916

Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample Characteristics for a Cross-Sectional and Longitudinal Study

Examining Weight Suppression, Leptin Levels, Glucagon-Like Peptide 1 Response, and Reward-Related Constructs in Severity and Maintenance of Bulimic Syndromes: Protocol and Sample Characteristics for a Cross-Sectional and Longitudinal Study

We observed stability in BMI across days (r>0.95; P The Eating Disorder Examination (EDE) 17.0 D [83] was selected due to previous evidence of good discriminant validity [84-87], IRR (0.83 to 0.99) [88,89], and good internal consistency of the restraint and body image subscales (Cronbach α>0.70) [90].

Pamela K Keel, Lindsay P Bodell, Sarrah I Ali, Austin Starkey, Jenna Trotta, J Woody Luxama, Chloé Halfhide, Naomi G Hill, Jonathan Appelbaum, Diana L Williams

JMIR Res Protoc 2025;14:e66554

Digital Health Intervention to Reduce Malnutrition Among Individuals With Gastrointestinal Cancer Receiving Cytoreductive Surgery Combined With Hyperthermic Intraperitoneal Chemotherapy: Feasibility, Acceptability, and Usability Trial

Digital Health Intervention to Reduce Malnutrition Among Individuals With Gastrointestinal Cancer Receiving Cytoreductive Surgery Combined With Hyperthermic Intraperitoneal Chemotherapy: Feasibility, Acceptability, and Usability Trial

Compared to baseline, average PG-SGA malnutrition scores saw a decrease of 6 points (P=.01), with a corresponding reduction in patients with high malnutrition risk (P=.03; Table 4). Functional Assessment of Cancer Therapy—General scores increased by an average of 20.5 points (P=.002), and Functional Assessment of Anorexia/Cachexia Treatment—Anorexia/Cachexia Scale scores increased by an average of 7.4 points (P=.03), indicating an improvement in participants’ health-related quality of life.

Yu Chen Lin, Ryan Hagen, Benjamin D Powers, Sean P Dineen, Jeanine Milano, Emma Hume, Olivia Sprow, Sophia Diaz-Carraway, Jennifer B Permuth, Jeremiah Deneve, Amir Alishahi Tabriz, Kea Turner

JMIR Cancer 2025;11:e67108

Innovating Care for Postmenopausal Women Using a Digital Approach for Pelvic Floor Dysfunctions: Prospective Longitudinal Cohort Study

Innovating Care for Postmenopausal Women Using a Digital Approach for Pelvic Floor Dysfunctions: Prospective Longitudinal Cohort Study

Statistical significance was defined as P Of the 3684 participants screened for eligibility, 633 participants were excluded (346 declined participation and 287 did not meet eligibility criteria; Figure 2). The program started with 3051 participants, of which 2367 participants completed it, translating into a completion rate of 77.6%. Study flowchart.

Ana P Pereira, Dora Janela, Anabela C Areias, Maria Molinos, Xin Tong, Virgílio Bento, Vijay Yanamadala, Jennesa Atherton, Fernando Dias Correia, Fabíola Costa

JMIR Mhealth Uhealth 2025;13:e68242

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence

P values for the chi-square test are given. a EV: embryonic volume. b Not applicable. c GA: gestational age. d HV: head volume. For the HV, a total of 475 ultrasound scans of 326 participants were included. The data were divided over similar subsets. The development set contained 383 ultrasound scans of 261 participants acquired before 2020. The test set contained 92 ultrasound scans of 65 participants acquired before 2020. The future test set contained 80 ultrasound scans of 58 participants acquired in 2020.

Wietske A P Bastiaansen, Stefan Klein, Batoul Hojeij, Eleonora Rubini, Anton H J Koning, Wiro Niessen, Régine P M Steegers-Theunissen, Melek Rousian

J Med Internet Res 2025;27:e60887