Lee K, Azuero A, Engler S, Kumar S, Puga F, Wright A
JMIR Form Res. 2025; 9:e59161.
PMID: 39924302
PMC: 11830490.
DOI: 10.2196/59161.
Jean T, Guay Hottin R, Orban P
PLOS Digit Health. 2025; 4(2):e0000734.
PMID: 39919138
PMC: 11805420.
DOI: 10.1371/journal.pdig.0000734.
Terhorst Y, Messner E, Opoku Asare K, Montag C, Kannen C, Baumeister H
J Med Internet Res. 2025; 27:e55308.
PMID: 39883512
PMC: 11826944.
DOI: 10.2196/55308.
Auerbach R, Bloom P, Pagliaccio D, Lan R, Galfalvy H, Bitran A
JAMA Netw Open. 2025; 8(1):e2456429.
PMID: 39869336
PMC: 11773992.
DOI: 10.1001/jamanetworkopen.2024.56429.
Rocchi G, Vocaj E, Moawad S, Antonucci A, Grigioni C, Giuffrida V
Front Psychol. 2025; 15():1479269.
PMID: 39834762
PMC: 11743967.
DOI: 10.3389/fpsyg.2024.1479269.
User-Centred Design and Development of a Smartphone Application () for Digital Phenotyping in Ophthalmology.
Devraj K, Jones L, Higgins B, Thomas P, Moosajee M
Healthcare (Basel). 2025; 12(24.
PMID: 39765977
PMC: 11675816.
DOI: 10.3390/healthcare12242550.
Using Active and Passive Smartphone Data to Enhance Adolescents' Emotional Awareness in Forensic Outpatient Setting: A Qualitative Feasibility and Usability Study.
Leijse M, van Dam L, Jambroes T, Timmerman A, Popma A
JMIR Form Res. 2025; 8:e53613.
PMID: 39753211
PMC: 11729785.
DOI: 10.2196/53613.
Feasibility and Acceptability of Collecting Passive Smartphone Data for Potential Use in Digital Phenotyping Among Family Caregivers and Patients With Advanced Cancer.
Odom J, Lee K, Currie E, Allen-Watts K, Harrell E, Bechthold A
JCO Clin Cancer Inform. 2025; 9():e2400201.
PMID: 39746166
PMC: 11706344.
DOI: 10.1200/CCI-24-00201.
Advancing user-centric design and technology adoption for aging populations: a multifaceted approach.
Stamate A, Marzan M, Velciu M, Paul C, Spiru L
Front Public Health. 2024; 12:1469815.
PMID: 39712308
PMC: 11659139.
DOI: 10.3389/fpubh.2024.1469815.
Predicting Depressive Symptoms Using GPS-Based Regional Data in Germany With the CORONA HEALTH App During the COVID-19 Pandemic: Cross-Sectional Study.
Edler J, Winter M, Steinmetz H, Cohrdes C, Baumeister H, Pryss R
Interact J Med Res. 2024; 13:e53248.
PMID: 39625745
PMC: 11653045.
DOI: 10.2196/53248.
The Relation Between Passively Collected GPS Mobility Metrics and Depressive Symptoms: Systematic Review and Meta-Analysis.
Terhorst Y, Knauer J, Philippi P, Baumeister H
J Med Internet Res. 2024; 26:e51875.
PMID: 39486026
PMC: 11568401.
DOI: 10.2196/51875.
Digital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation.
Liu Q, Ning E, Ross M, Cladek A, Kabir S, Barve A
J Med Internet Res. 2024; 26:e51269.
PMID: 39471368
PMC: 11558221.
DOI: 10.2196/51269.
Progress Achieved, Landmarks, and Future Concerns in Biomedical and Health Informatics.
Ognjanovic I, Zoulias E, Mantas J
Healthcare (Basel). 2024; 12(20).
PMID: 39451456
PMC: 11506887.
DOI: 10.3390/healthcare12202041.
Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study.
Karas M, Huang D, Clement Z, Millner A, Kleiman E, Bentley K
JMIR Mhealth Uhealth. 2024; 12:e57439.
PMID: 39392706
PMC: 11488461.
DOI: 10.2196/57439.
Measuring Environmental and Behavioral Drivers of Chronic Diseases Using Smartphone-Based Digital Phenotyping: Intensive Longitudinal Observational mHealth Substudy Embedded in 2 Prospective Cohorts of Adults.
Yi L, Hart J, Straczkiewicz M, Karas M, Wilt G, Hu C
JMIR Public Health Surveill. 2024; 10:e55170.
PMID: 39392682
PMC: 11512133.
DOI: 10.2196/55170.
Early Detection of Mental Health Crises through Artifical-Intelligence-Powered Social Media Analysis: A Prospective Observational Study.
Mansoor M, Ansari K
J Pers Med. 2024; 14(9).
PMID: 39338211
PMC: 11433454.
DOI: 10.3390/jpm14090958.
Anything that would help is a positive development": feasibility, tolerability, and user experience of smartphone-based digital phenotyping for people with and without type 2 diabetes.
McInerney A, Schmitz N, Matthews M, Deschenes S
BMC Digit Health. 2024; 2(1):55.
PMID: 39282098
PMC: 11390910.
DOI: 10.1186/s44247-024-00116-6.
Use of smartphone sensor data in detecting and predicting depression and anxiety in young people (12-25 years): A scoping review.
Beames J, Han J, Shvetcov A, Zheng W, Slade A, Dabash O
Heliyon. 2024; 10(15):e35472.
PMID: 39166029
PMC: 11334877.
DOI: 10.1016/j.heliyon.2024.e35472.
Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?.
Ortiz A, Mulsant B
J Med Internet Res. 2024; 26:e59826.
PMID: 39102686
PMC: 11333868.
DOI: 10.2196/59826.
Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study.
Ng M, Frederick J, Fisher A, Allen N, Pettit J, McMakin D
JMIR Res Protoc. 2024; 13:e43931.
PMID: 39012691
PMC: 11289582.
DOI: 10.2196/43931.