Tag:
Medicine/Public Health
AI
Driving AI Innovation in Healthcare: Practical Clinical Research Applications on the Mayo Clinic Platform
The MCP (Managed Clinical Platform) provides a secure, cloud-based data science environment designed for innovative research using extensive, de-identified clinical data from over 15.1...
AI
Innovative Uses of AI in Urology
Artificial intelligence (AI) is poised to revolutionize urology, enhancing everything from student education to clinical procedures and reporting. This focus issue highlights various applications...
AI
Harnessing Large Language Models to Bridge the Gap in Cardiovascular Health Research
The article by Kim et al. emphasizes the need to address social determinants of health (SDOH) to improve digital health equity in cardiovascular medicine....
AI
Harnessing Large Language Models for Automated TNM Staging in Gynecologic Oncology Reports
The study examined discrepancies between ground truth TNM classifications from the Kyoto Record and the Kyoto Registry Dataset across various cancers. For cervical cancer,...
AI
Optimizing Neural Architecture with Large Language Models for Efficient Universal Disease Diagnosis in Histopathology Slides
In this study, we present a robust framework for pathology image analysis utilizing large-scale datasets from various sources like Kaggle and Grand-Challenge. We employed...
AI
Optimizing Large Language Models for Improved Detection of Depression and Anxiety
This study, approved by the Human Research Ethics Committee of the University of Hong Kong (EA240276), developed a generative pipeline to transform case descriptions...
AI
Enhancing Human Evaluation of Large Language Models in Healthcare: Addressing Gaps, Challenges, and the Imperative for Standardization
Recent research highlights significant advancements and challenges in utilizing large language models (LLMs) in healthcare. Notably, AlphaFold demonstrates high accuracy in protein structure predictions,...
AI
Assessing the Effectiveness of General-Purpose Large Language Models in Detecting Human Facial Emotions
The study, IRB-exempt from Beth Israel Deaconess Medical Center, utilized the NimStim dataset—comprised of 672 facial expression images from 43 multiracial actors—to evaluate facial...