Tag:
Biotechnology
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
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
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...
AI
Navigating the Landscape of Medical AI: Challenges and Opportunities in Commercialization
Artificial intelligence (AI) is revolutionizing healthcare, enhancing patient outcomes and practitioner efficiency. Notably, Bajwa et al. (2021) emphasize AI's transformative potential in medicine, while...
AI
Adapting Generalist AI for Specialized Medical Applications: Insights and Challenges Ahead
Recent studies highlight the transformative impact of large language models (LLMs) in healthcare, showcasing advancements in predictive modeling, medical imaging, and clinical decision support....
AI
Enhancing Precision Medicine in Rare Gynecological Tumors through Digital Twins Powered by Large Language Models
The RGT Digital Twin system revolutionizes personalized treatment for Uterine Carcinosarcoma (UCS) by integrating molecular profiling and large language model (LLM) capabilities. The study...