− HEALTH The rapid spread of infectious diseases can lead to substantial casualties worldwide, with the greatest impac…− HEALTH Objectives Precision psychiatry seeks to tailor care to the clinical, biological, cognitive, behavioral, and…− HEALTH In primary mitral valve regurgitation (MR), a failing valve induces volume overload (VO) of the left ventricl…+ HEALTH Lateral flow immunoassays (LFIAs) are widely used in point-of-care diagnostics for their low cost and simplic…− BUSINESS There will be more Australians dying than being born in 40 years’ time, according to the government’s latest…− BUSINESS Warnings about powerful and uncontrolled AI have dominated the headlines this past week. But even amid the om…− EDUCATION To develop a machine learning (ML)-based predictive model for assessing the risk of zero-dose children using…+ HEALTH Chronic kidney disease (CKD) presents a growing public health challenge in China, exacerbated by low patient…
TruaceTracing the truth around AIMonday, September 21, 2026
Subscribe
TRV-2026-1158Certified recordPeer-reviewed

[Tailoring care to the mind: The emerging role of artificial intelligence in precision psychiatry. Part II: Validating, regulating and integrating artificial intelligence into care]

Objectives Precision psychiatry seeks to tailor care to the clinical, biological, cognitive, behavioral, and contextual characteristics of each patient. Artificial intelligence may help achieve this goal by combining multimodal data, identifying complex patterns, following individual trajectories, and refining prognostic or therapeutic stratification. Yet strong statistical performance does not automatically translate into meaningful clinical benefit. This second part of Tailoring Care to the Mind: The Emerging…

Health · P Space — documented harm · certified 2026-09-21 · v1 · article view · machine-readable

Current reading — problem

[Tailoring care to the mind: The emerging role of artificial intelligence in precision psychiatry. Part II: Validating, regulating and integrating artificial intelligence into care]: Particular attention was given to discrimination, calibration, decision usefulness, external validation, bias, acceptability, interpretability, responsibility, and human oversight.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1158, v1: “[Tailoring care to the mind: The emerging role of artificial intelligence in precision psychiatry. Part II: Validating, regulating and integrating artificial intelligence into care].” Truvace, 2026-09-21. /record/TRV-2026-1158 (accessed at citation time). sha256 18097b0a292fe405…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv118097b0a292f…

    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-2026-1158 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.