Tag:
Biomedicine
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...
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Revolutionary Quantum Chip Propels China’s AI Data Centers to ‘1,000-Fold’ Speed Boost: A Landmark Achievement by Award-Winning Team
Breaking New Ground in Quantum Computing 🌟
China has made a significant leap in computing power with a revolutionary optical quantum chip. This cutting-edge technology...
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...
AI
Harnessing Large Language Models in Clinical Trials: Innovations, Applications, and Future Prospects | BMC Medicine
The recent literature emphasizes significant advancements in drug discovery and clinical trial methodologies, notably through the integration of artificial intelligence (AI) and machine learning....
AI
When Good Intentions Go Wrong: The Dangers of LLMs Spreading Inaccurate Medical Information through Sycophantic Responses
To evaluate language models' familiarity with drugs, we utilized the RABBITS30 dataset, comprising 550 drugs with brand-generic mappings. Using various pre-training corpora and the...