Latest AI and machine learning research in us health policy for healthcare professionals.
Pain management in intensive care usually involves complex trade-offs between therapeutic goals and ...
The ventral tegmental area is the primary source of dopaminergic input to the human prefrontal corte...
Importance: Emerging evidence suggests healthcare AI systems may exhibit deceptive alignment (appear...
Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...
Recently, research into chatbots (also known as conversational agents, AI agents, voice assistants...
In the past, the chest X-ray (CXR) was a traditional age and amount requirement used to assess poten...
is a leading cause of foodborne illnesses globally, with significant mortality rates, especially am...
Plastic surgery, by nature an innovative discipline, has historically relied on clinical case report...
Navigating everyday social situations often requires juggling conflicting goals, such as conveying...
The application scope of Large Language Models (LLMs) continues to expand, leading to increasing i...
Individuals often navigate several options with incomplete knowledge of their own preferences. Inf...
The integration of chatbots into psychiatry introduces a novel approach to support clinical decision...
BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss ...
The swift evolution of telehealth has revolutionized how medical professionals deliver healthcare ...
The COVID-19 pandemic response relied heavily on statistical and machine learning models to predic...
Rapid integration of large language models (LLMs) into societal applications has intensified conce...
Abortion is a critical health issue that leads to numerous complications, maternal deaths, and signi...
Visually impaired individuals face daily challenges in social engagement and routine activities due ...
Magnetic Resonance Imaging (MRI) is critical for clinical diagnostics but is often limited by long...
Introduction: Operative management of spinal metastatic disease is largely for symptom palliation an...
Early identification of patients who require onward referral to social care can prevent delays to di...