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business#mental health📝 BlogAnalyzed: Jan 3, 2026 11:39

AI and Mental Health in 2025: A Year in Review and Predictions for 2026

Published:Jan 3, 2026 08:15
1 min read
Forbes Innovation

Analysis

This article is a meta-analysis of the author's previous work, offering a consolidated view of AI's impact on mental health. Its value lies in providing a curated collection of insights and predictions, but its impact depends on the depth and accuracy of the original analyses. The lack of specific details makes it difficult to assess the novelty or significance of the claims.

Key Takeaways

Reference

“I compiled a listing of my nearly 100 articles on AI and mental health that posted in 2025. Those also contain predictions about 2026 and beyond.”

PermalinkForbes Innovation
Paper#AI in Scientific Research🔬 ResearchAnalyzed: Jan 4, 2026 00:12

PERELMAN: AI for Scientific Literature Meta-Analysis

Published:Dec 25, 2025 16:11
1 min read
ArXiv

Analysis

This paper introduces PERELMAN, an agentic framework that automates the extraction of information from scientific literature for meta-analysis. It addresses the challenge of transforming heterogeneous article content into a unified, machine-readable format, significantly reducing the time required for meta-analysis. The focus on reproducibility and validation through a case study is a strength.
Reference

“PERELMAN has the potential to reduce the time required to prepare meta-analyses from months to minutes.”

PermalinkArXiv
Research#Meta-analysis🔬 ResearchAnalyzed: Jan 10, 2026 08:56

Bayesian Meta-Analysis for Subgroup Effects and Interactions

Published:Dec 21, 2025 15:57
1 min read
ArXiv

Analysis

This research explores the application of Bayesian meta-analysis to assess subgroup-specific effects and interactions, a vital aspect of precision medicine and clinical research. The consistent use of Bayesian methods allows for robust inference and quantification of uncertainty in complex scenarios involving heterogeneous treatment effects.
Reference

“The research focuses on consistent Bayesian meta-analysis on subgroup specific effects and interactions.”

PermalinkArXiv