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Improving Early Dementia Detection Among Diverse Older Adults With Cognitive Concerns With the 5-Cog Paradigm: Protocol for a Hybrid Effectiveness-Implementation Clinical Trial

Improving Early Dementia Detection Among Diverse Older Adults With Cognitive Concerns With the 5-Cog Paradigm: Protocol for a Hybrid Effectiveness-Implementation Clinical Trial

(D) IUH: negative 5-Cog result. At both sites, a paper token (Figure 4) is used as an additional feature to help ensure that care providers review the patients’ 5-Cog results. Patients are handed this token after they complete the 5-Cog battery and are asked to hand it to their care provider at their scheduled visit, generally within 30 minutes after the 5-Cog battery administration. Token to alert care provider for patient's 5-Cog participation.

Rachel Beth Rosansky Chalmer, Emmeline Ayers, Erica F Weiss, Nicole R Fowler, Andrew Telzak, Diana Summanwar, Jessica Zwerling, Cuiling Wang, Huiping Xu, Richard J Holden, Kevin Fiori, Dustin D French, Celeste Nsubayi, Asif Ansari, Paul Dexter, Anna Higbie, Pratibha Yadav, James M Walker, Harrshavasan Congivaram, Dristi Adhikari, Mairim Melecio-Vazquez, Malaz Boustani, Joe Verghese

JMIR Res Protoc 2025;14:e60471

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

(C) The AUROC and (D) AUPRC of the model in the temporal validation cohort. (E) The AUROC and (F) AUPRC of the model in the external validation cohort. In addition, the correlation coefficient between each variable and the outcome did not have a high correlation coefficient overall but had the highest values for age, PPG-derived variables, and Sp O2-derived variables (Multimedia Appendix 6).

Chanmin Park, Changho Han, Su Kyeong Jang, Hyungjun Kim, Sora Kim, Byung Hee Kang, Kyoungwon Jung, Dukyong Yoon

J Med Internet Res 2025;27:e59520

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study

Peter et al [16] used web-based CBTI for shift workers with sleep problems (n=21) and found it to be as effective as face-to-face SWSD outpatient CBTI treatment (n=12) for improving sleep efficiency and insomnia symptoms. Their research group also proposed a randomized controlled trial in 2021 to further assess their web-based CBTI intervention for shift workers against a waitlist control and face-to-face CBTI [17].

Yufei Shen, Alicia Choto Olivier, Han Yu, Asami Ito-Masui, Ryota Sakamoto, Motomu Shimaoka, Akane Sano

JMIR Form Res 2025;9:e65000

Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews

Characteristics of included systematic reviews by (A) year, (B) tumor site, (C) region, and (D) search database. CT: computed tomography; PET: positron emission tomography; MRI: magnetic resonance imaging; US: ultrasound. Different proportions of meta-analyses or systematic reviews had registered protocols, followed the PRISMA guidelines, restricted searches to English-language studies, and conducted quality assessment (Figure 3).

He-Li Xu, Ting-Ting Gong, Xin-Jian Song, Qian Chen, Qi Bao, Wei Yao, Meng-Meng Xie, Chen Li, Marcin Grzegorzek, Yu Shi, Hong-Zan Sun, Xiao-Han Li, Yu-Hong Zhao, Song Gao, Qi-Jun Wu

J Med Internet Res 2025;27:e53567