ReviewJournal of obesity2026
Transforming Obesity Care With Digital Therapeutics: Mobile Health Apps, Clinical Evidence, and Regulatory Considerations.
Review in Journal of obesity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity remains a complex global public health crisis driven by environmental, biochemical, and behavioral factors, leading to severe metabolic comorbidities. Digital therapeutics (DTx) has emerged as a scalable, data-driven intervention, utilizing wearable sensors, mobile applications, and artificial intelligence (AI) to deliver personalized weight-management strategies. Rather than relying solely on traditional approaches, true DTx distinguishes it through rigorous clinical validation and targeted behavioral modification. Current evidence from clinical trials and real-world data indicates that while DTx effectively enhances patient engagement and promotes short-term behavioral change, sustaining long-term adherence and significant weight loss remains a critical challenge. Furthermore, the integration of AI models offers advanced personalization, though their efficacy must be balanced against potential algorithmic biases and traditional statistical approaches. Successful implementation of DTx into standard obesity care requires overcoming substantial barriers, particularly digital divide, data privacy concerns, and fragmented regulatory frameworks. Ultimately, realizing the full potential of DTx necessitates collaborative efforts to establish standardized regulations, ensure equitable access, and design evidence-based interventions that prioritize long-term patient engagement and clinical efficacy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.