ArticleJournal of medical Internet research2023
A Call to Expand the Scope of Digital Phenotyping.
Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- AI in Psychiatry for Improving Continuity of Patient Care: Protocol for a Mixed Methods Systematic Review.JMIR research protocols · 2026Article
- Smartphone-based digital phenotyping for detection of high-risk depression and anxiety in Korean community settings.Internet interventions · 2026Article
- Multidimensional analysis of smartphone overuse in insomnia: Integrating digital phenotyping with clinical assessment.Journal of behavioral addictions · 2026Article
- The Digital Mental Health Study assessed feasibility of large-scale digital sensing for depression and anxiety.npj digital public health · 2026Article
- Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study.JMIR mHealth and uHealth · 2025Article
- Challenges and standardisation strategies for sensor-based data collection for digital phenotyping.Communications medicine · 2025Review
- Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.Scientific reports · 2025Article
- Dropping out of a peripartum depression mHealth study: participants' motives and suggestions for improvement.BMC medical research methodology · 2025Article
- Development and Initial Evaluation of a Digital Phenotype Collection System for Adolescents: Proof-of-Concept Study.JMIR formative research · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital phenotyping refers to near-real-time data collection from personal digital devices, particularly smartphones, to better quantify the human phenotype. Methodology using smartphones is often considered the gold standard by many for passive data collection within the field of digital phenotyping, which limits its applications mainly to adults or adolescents who use smartphones. However, other technologies, such as wearable devices, have evolved considerably in recent years to provide similar or better quality passive physiologic data of clinical relevance, thus expanding the potential of digital phenotyping applications to other patient populations. In this perspective, we argue for the continued expansion of digital phenotyping to include other potential gold standards in addition to smartphones and provide examples of currently excluded technologies and populations who may uniquely benefit from this technology.
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