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large language models

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Rule-Based Chatbots Outperform LLMs in Depressive Symptom Management: A Systematic Review and Meta-Analysis
Posted inAI news Psychiatry

Rule-Based Chatbots Outperform LLMs in Depressive Symptom Management: A Systematic Review and Meta-Analysis

Posted by MedXY By MedXY 12/23/2025
A comprehensive meta-analysis indicates that rule-based chatbots provide a modest but statistically significant reduction in depressive symptoms within a 4-8 week window, whereas evidence for the clinical efficacy of Large Language Model (LLM)-based chatbots remains insufficient due to high variability.
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Advancing Clinical Care with AI Agents: Systematic Review of Performance and Integration in Medicine
Posted inAI Specialties

Advancing Clinical Care with AI Agents: Systematic Review of Performance and Integration in Medicine

Posted by MedXY By MedXY 09/14/2025
This review evaluates AI agent systems built on large language models in healthcare, demonstrating improved clinical task accuracy over base models, especially in complex scenarios. Multi-agent architectures show promise but require further real-world validation.
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Harnessing AI in Clinical Documentation: Evaluating Large Language Model-Generated Hospital Discharge Summaries
Posted inAI Clinical Updates news Specialties

Harnessing AI in Clinical Documentation: Evaluating Large Language Model-Generated Hospital Discharge Summaries

Posted by MedXY By MedXY 09/02/2025
A study comparing large language model-generated versus physician-generated discharge summaries found comparable quality and safety, suggesting AI-assisted documentation could reduce clinical burden without compromising patient care.
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Benchmarking Autonomous AI Doctors: Real-World Validation Against Board-Certified Clinicians in Virtual Acute Care
Posted inClinical Updates news Nursing & care Specialties

Benchmarking Autonomous AI Doctors: Real-World Validation Against Board-Certified Clinicians in Virtual Acute Care

Posted by MedXY By MedXY 08/05/2025
A landmark study quantitatively benchmarks a multi-agent LLM-based AI system against board-certified clinicians in real-world virtual acute care, revealing near-equivalent diagnostic and therapeutic performance with superior documentation safety and consistency.
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