newsNature Machine IntelligenceTrust 88 · LabPublished 2mo agoLive · 1mo ago
Towards AI-augmented decision making in psychiatry
Nature Machine Intelligence, Published online: 12 June 2026; doi:10.1038/s42256-026-01256-2 Psychiatric disorders are heterogeneous, and care depends on interpreting unstructured longitudinal narratives, creating variability that hinders standardization. A study now shows that a psychiatry-specific large language model (LLM) may help clinicians to deliver more consistent, high-quality care.
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownCLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning →
- PossiblePossibly related (embedding) · 57%Emo-gml/Awesome-Mental-Health-LLMs →
- PossiblePossibly related (embedding) · 48%ai-village-agents/village/llm-psychoactive-prompts →
- PossiblePossibly related (embedding) · 61%Multi-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC) →
Covers
Covers (incoming)
paperThe strength of clinical evidence is recoverable from language model representations but not from their stated gradespaperTeam MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline DynamicspaperCLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical ReasoningpaperClinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI BenchmarkingrepoEmo-gml/Awesome-Mental-Health-LLMsrepoai-village-agents/village/llm-psychoactive-promptspaperMulti-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)paperMeasuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and SustainabilitypaperSelf-Evolving Human-Centered Framework for Explainable Depression Symptom AnnotationpaperWhose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-assisted physician choice
Related across the graph
paperTeam MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline DynamicspaperWhose doctor does the AI recommend? An algorithm audit of reputation and demographic signals in large language model-assisted physician choicepaperSelf-Evolving Human-Centered Framework for Explainable Depression Symptom AnnotationpaperCLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical ReasoningrepoEmo-gml/Awesome-Mental-Health-LLMspaperMulti-Large Language Model Orchestrated Severity Assessment of Clinical Records (MOSAIC)paperClinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI BenchmarkingpaperRSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotationsrepoai-village-agents/village/llm-psychoactive-promptspaperThe strength of clinical evidence is recoverable from language model representations but not from their stated gradespaperMeasuring the practice of shared-decision making (OPTION12): An Investigation into Open-sourced Smaller LLMs (OS-sLLMs) for Better Privacy and Sustainability