Tag:
Biomedicine
AI
Enhancing Primary-to-Specialist Care Transitions with an LLM Chatbot: Results from a Randomized Controlled Trial
The study on the PreA healthcare platform, approved by various ethical committees, aimed to enhance consultation efficiency and patient-centered care via a patient-facing chatbot...
AI
Enhancing Large Language Models as Trustworthy Data Science Programming Assistants for Biomedical Research
Data Science in Evidence-Based Medicine
Radenkovic et al. (2019) explore how data science revolutionizes evidence-based medicine, highlighting its role in enhancing accuracy in clinical practices...
AI
Comprehensive Assessment of Large Language Models for Medical Applications Using MedHELM
The "Papers with Code" repository highlights recent advancements in artificial intelligence (AI) applied to healthcare, specifically addressing question answering in the MedQA dataset. Khosravi...
AI
Developing AI Co-Researchers for Advancements in Statistical Genetics – Nature
The article explores the innovative role of engineering AI co-scientists in the realm of statistical genetics. By integrating advanced machine learning techniques with genetic...
AI
Transforming Cancer Research and Oncology with Artificial Intelligence Agents
The integration of Artificial Intelligence (AI) into medicine is rapidly transforming healthcare, leveraging advanced Large Language Models (LLMs) for enhanced clinical decision-making and research....
AI
Harnessing AI for Authoring and Reviewing at Agents4Science: A New Frontier
Artificial intelligence (AI) agents are transforming the landscape of scientific research, evolving from mere tools to co-scientists. Traditionally, researchers posed specific questions, such as...
AI
Revolutionizing Diagnostic and Therapeutic Approaches in Chronic Liver Disease: The Role of AI-Based Agents in Clinical Decision-Making
Chronic liver diseases include a spectrum of conditions such as metabolic dysfunction-associated steatotic liver disease (MASLD), steatohepatitis (MASH), alcohol-related liver disease (ALD), metabolic-ALD (met-ALD),...
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...