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Medicine/Public Health
AI Hacker News
Transforming Healthcare: The Rise of Physician-Algorithm Specialists in the Age of Clinical AI
Unlocking Clinical Value with Algorithmic Consultants
As healthcare evolves, the integration of AI in clinical settings presents unique challenges and opportunities. Enter the...
AI
CARE-AD: An Advanced Multi-Agent Language Model Framework for Predicting Alzheimer’s Disease Through Longitudinal Clinical Notes
This study utilized the VHA Corporate Data Warehouse's extensive EHR database, covering 2000-2022, to investigate Alzheimer’s disease (AD) using a case-control design. Approved by...
AI
Exploring the Role of Large Language Models in Ophthalmology: A Comprehensive Review for Clinicians, Researchers, Patients, and Educators
Large language models (LLMs) are transforming medical fields, particularly ophthalmology, by enhancing diagnostic precision, triage proficiency, and medical education. Key studies, including Thirunavukarasu et...
AI
Advancing Neuroprognostication in Neonatal Encephalopathy: Unlocking the Power of Artificial Intelligence
A comprehensive review of neonatal hypoxic-ischemic encephalopathy (HIE) underscores its rising prevalence and multifaceted risk factors in the U.S. between 2010 and 2018 (Acun...
AI
Enhancing Depression Screening Through AI-Driven Multi-Modal Information: A Systematic Review and Meta-Analysis
The comprehensive review highlights recent advances in depression detection, employing diverse methodologies, including EEG, facial expressions, and speech analysis. Key studies demonstrate the efficacy...
AI
Transforming Healthcare: Integrating Education, Research, AI, and Personalized Learning for Inclusivity
The Stanford Data Ocean (SDO) focuses on three key areas: robust data management for diverse multi-omics and wearable datasets, personalized education leveraging large-scale datasets,...
AI
A Practical Guide to Implementing and Reviewing Artificial Intelligence in Healthcare (FAIR-AI)
The narrative review outlines best practices for responsibly deploying AI in healthcare as part of the FAIR-AI framework, focusing on validation, transparency, equity, and...
AI
Comprehensive Assurance Analysis Reveals High Vulnerability of Large Language Models to Adversarial Hallucination Attacks in Clinical Decision Support
In this study, we examined multiple Large Language Models (LLMs) under adversarial hallucination attacks in clinical contexts by embedding fabricated content. We varied text...