Latest AI and machine learning research in clinical trials for healthcare professionals.
As the performance of large language models (LLMs) continues to advance, their adoption is expandi...
As the performance of large language models (LLMs) continues to advance, their adoption is expandi...
PURPOSE: Development of aphasia therapies is limited by clinician shortages, patient recruitment cha...
Nova Premier is Amazon's most capable multimodal foundation model and teacher for model distillati...
Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to redu...
Randomized trials are typically designed to detect average treatment effects but often lack the st...
Gastrointestinal malignancies constitute a leading cause of cancer-related mortality worldwide, wi...
Mechanical thrombectomy has become the standard of care in patients with stroke due to large vesse...
This paper presents an approach for rail line detection and the identification of human beings in ...
By incorporating visual inputs, Multimodal Large Language Models (MLLMs) extend LLMs to support vi...
Large Language Models (LLMs) hold significant promise for transforming digital health by enabling ...
Reinforcement learning from human feedback (RLHF) is a key paradigm for aligning large language mo...
In this article, an accelerated value iteration-based safe Q-learning (SQL) algorithm is developed t...
Many antimicrobial peptides (AMPs) function by disrupting the cell membranes of microbes. While this...
BACKGROUND AND OBJECTIVES: Delays in septic shock diagnosis cause preventable mortality in children....
This study targets an important question in the synthesis of graphitic carbon nitride (g-CN) nanoshe...
Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality globally, with ...
Plastic surgery, by nature an innovative discipline, has historically relied on clinical case report...
Left-turn slip lanes, also known as channelised right-turn lanes in right-hand driving countries, ar...
Starting in the 1970s with robots that were physically isolated from contact with their human co-wor...
Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research...