Tag:
Biotechnology
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...
AI
Unlocking New Discoveries in Life Sciences Through AI Applications | Results Pack | CORDIS
Artificial intelligence (AI) is revolutionizing research in life sciences, speeding up drug discovery and enhancing resource management. This CORDIS Results Pack highlights 15 EU-funded...
AI
Advanced Language Model Analyzes Clinical Oncology Data to Predict Cancer Progression
The performance assessment of Woollie models, developed from pretrained Llama models, demonstrated significant improvements in logic and medical benchmarks. Through stacked alignment and fine-tuning,...
AI
Governance of Responsible Artificial Intelligence in Oncology
The Results section presents reusable frameworks and tools developed during the design phase of our study, enabling the registration and monitoring of 26 AI...