Depression

Where the papers sit

17 papers from the last 6 months study depression directly · updated from PubMed 3 Nov 2026

• Depression Across Medical Conditions

  Depression and anxiety are being mapped across asthma, diabetes, cancer, nasopharyngeal disease, and general adult populations. PHQ-9 and GAD-7 recur alongside insomnia, body mass index, symptom burden, and cognitive function. Observational work links depression with systemic inflammation and gallstones, while digital agents and mental health apps test scalable support. The evidence remains largely cross-sectional or feasibility-based, leaving causal pathways and clinical effectiveness open.

  9 papers · 52.9%

• Nonpharmacologic Mental Health Care

  Exercise, yoga, behavioural activation, laughter-based interventions, acupuncture, and digital therapeutics are being tested as adjuncts for depression, anxiety, and distress in chronic illness. Studies emphasize feasibility, acceptability, usual-care integration, work ability, and cost-effectiveness across rheumatoid arthritis, dialysis, autism, chronic pain, diabetes, and other conditions. Randomized trials provide some support for yoga-based approaches, while several interventions remain at protocol or provider-attitude stages. The direction is toward accessible multimodal care, but comparative effectiveness and durability remain uncertain.

  6 papers · 35.3%

• AI Mental Health Representation

  AI is being developed both to simulate clinical encounters and to represent depression in generated media. Voice-enabled virtual patients focus on standardized assessment, language, training, and interrater reliability. Generative video work instead examines how models depict depression and whether those portrayals are clinically credible. Together, the field is moving toward evaluating realism, bias, and educational usefulness rather than treating AI output as inherently reliable.

  2 papers · 11.8%