+ HEALTH Aims Intramuscular fat (IMF) is increasingly recognized as a marker of ectopic adiposity and adverse cardiome…+ HEALTH Periapical lesions are challenging to detect on intraoral radiographs because of anatomical superimposition a…± HEALTH Ultrasound imaging is an indispensable diagnostic tool, yet its profound reliance on operator expertise inher…+ HEALTH Objectives We adapted the individualized polysocial risk score (iPsRS), a machine learning model originally d…± HEALTH Melioidosis is a life-threatening infectious disease caused by Burkholderia pseudomallei ( Bp ). Rapid diagno…+ HEALTH Classification is a core machine learning task, and ensemble voting methods are widely used to improve predic…+ CLIMATE Microplastic (MP) pollution poses escalating environmental risks, demanding efficient and reproducible tools…± HEALTH Medicinal chemistry sits at the center of modern drug discovery, yet translating molecular designs into appro…
TruaceTracing the truth around AIWednesday, August 26, 2026
Subscribe
TRV-2026-0064Retracted — remains on the recordPeer-reviewed

The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality

As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention. These digital health technologies offer the potential of accessible and scalable interventions that can augment traditional care. In this paper, we provide a comprehensive update on the overall field of digital psychiatry, covering three areas. First, we outline the relevance of recent technological ad…

Health · G Space — documented gain · certified 2026-07-12 · v7 · article view · machine-readable

This record was retracted on 2026-07-13 — Model backfill: source did not support a publishable AI-impact claim. It remains permanently retrievable here, as does every prior version below.
Current reading — gain

The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality: As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention.

Evidence

Cite this record

Truvace Impact Record TRV-2026-0064, v7: “The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality.” Truvace, 2026-07-13. /record/TRV-2026-0064 (accessed at citation time). sha256 cc682fd47a92599b…

Calibration history

Every change to this record since certification, in the open.

  1. Retractedv7cc682fd47a92…

    Model backfill: source did not support a publishable AI-impact claim

  2. Revisedv606644ae7c308…

    Reading revised

  3. Sources changedv5be72bdc707a1…

    Source set updated

  4. Sources changedv4c38fbc74f111…

    Source set updated

  5. Sources changedv36e2ec1852148…

    Source set updated

  6. Sources changedv21550cb19f17a…

    Source set updated

  7. Certifiedv10d36f2df83a1…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-0064 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.