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JMIR Aging|July 31, 2024
The Best of Two Worlds to Promote Healthy Cognitive Aging: Definition and Classification Approach of Hybrid Physical Training InterventionsFabian Herold, Paula Theobald, Thomas Gronwald, et al.JMIR Aging|August 1, 2024
Development and Validation of an Explainable Machine Learning Model for Predicting Myocardial Injury After Noncardiac Surgery in Two Centers in China: Retrospective StudyChang Liu, Kai Zhang, Xiaodong Yang, et al.JMIR Aging|August 12, 2024
Toward Safe and Confident Silver Drivers: Interview Study Investigating Older Adults' Driving PracticesSunyoung Kim, Phaneendra SivangulaJMIR Aging|August 6, 2024
Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic ReviewJulian Jeyasingh-Jacob, Mark Crook-Rumsey, Harshvi Shah, et al.JMIR Aging|October 24, 2024
Digital Storytelling for People With Cognitive Impairment Using Available Mobile Apps: Systematic Search in App Stores and Content AnalysisDi Zhu, Abdullah Al Mahmud, Wei Liu, et al.JMIR Aging|September 20, 2024
Internet Use and Higher-Level Functional Capacity Decline Suppression in Japanese Older Adults With Low Education: JAGES 2016-2019 Longitudinal StudyAtsuko Tajika, Atsushi Nakagomi, Yasuhiro Miyaguni, et al.JMIR Aging|September 27, 2024
Developing a Life Story Intervention for Older Adults With Dementia or at Risk of Delirium Who Were Hospitalized: Multistage, Stakeholder-Engaged Co-Design StudySarah J Flessa, James D Harrison, Roniela Turnigan, et al.JMIR Aging|August 8, 2024
Perceptions Toward Telemedicine of Health Care Staff in Nursing Homes in Northern Germany: Cross-Sectional StudyPia Traulsen, Lisa Kitschke, Jost SteinhäuserJMIR Aging|May 12, 2025
Nonpharmacological Multimodal Interventions for Cognitive Functions in Older Adults With Mild Cognitive Impairment: Scoping ReviewRaffy Chi-Fung Chan, Joson Hao-Shen Zhou, Yuan Cao, et al.JMIR Aging|May 15, 2025
Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort StudyYuki Hashimoto, Norihiko Inoue, Takuaki Tani, et al.Pageof 78