Tag:
Cancer Research
AI
Advanced Language Model for Enhancing Complex Cardiology Care
This study explores the effectiveness of Large Language Models (LLMs) in assisting general cardiologists with diagnosing rare, life-threatening cardiac diseases, which often require specialized...
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
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 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
Navigating the Challenges and Exploring the Potential of AI in Systems Biology
In the emerging field of single-cell biology, recent articles discuss innovative approaches to understanding human diseases. Fischer et al. (2025) emphasize adapting systems biology...
AI
An Open-Source Software Pipeline for Extracting Medical Information in Oncology Using Large Language Models
The information extraction (IE) protocol encompasses four stages: problem definition and data preparation, data preprocessing, LLM-based IE, and output evaluation. Designed for clinical researchers...