Tag:
Medicine/Public Health
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...
AI
Transforming Ophthalmology: How a Large Language Model Digital Patient System Improves History-Taking Skills
This study focuses on constructing an ophthalmic dataset and evaluating various large language models (LLMs) to enhance medical education through a digital patient simulation...
AI
Integrating Large Language Models in Cancer Decision-Making: A Comprehensive Systematic Review and Meta-Analysis
In our systematic review, we analyzed 56 studies focusing on AI-based chatbots and their role in clinical decision support for cancer patients. Following rigorous...
AI
Addressing Demographic Biases and Inaccuracies in AI-Driven Patient Depictions via Text-to-Image Generators
In the rapidly evolving landscape of healthcare, generative AI stands at the forefront, facilitating enhanced applications, integration, and governance. Reddy's implementation science framework highlights...