Latest AI and machine learning research in surveys for healthcare professionals.
Retrieval-augmented generation (RAG) is an emerging artificial intelligence (AI) strategy that integ...
Rapid innovation and new regulations increase the need for post-marketing surveillance of implantabl...
Background: Understanding healthcare providers’ readiness and attitudes is crucial for integrating A...
Application of Large Language Models (LLMs) powered Conversation Agents (CAs) in healthcare has been...
Artificial intelligence chatbots (AICs) are designed to mimic human conversations through text or sp...
Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. I...
Maternal mental health (MMH) disorders, particularly depression and anxiety, are major public health...
Researchers across many fields rely on web data to gain new insights and validate methods. However, ...
Revascularization decision-making for patients with coronary artery disease (CAD) can benefit from a...
Many neurological conditions negatively affect a person’s walking quality, which is a vital aspect o...
Intralesional corticosteroid injections (ILCS) are a common treatment for keloid lesions; however, m...
Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in ...
Patient satisfaction feedback is crucial for hospital service quality, but manual reviews are not po...
The most effective way to reduce mortality and morbidity among current smokers is to quit smoking. A...
Artificial intelligence chatbots (AICs) are advanced systems capable of generating and processing hu...
Large language models (LLMs) demonstrate human-level performance in three key domains: linguistic un...
Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to the signific...
Cognitive biases are an important source of clinical errors. Large language models (LLMs) have emerg...
Information overload in electronic health records (EHRs) hampers clinicians’ ability to efficiently ...
The unintended biases introduced by optimization and machine learning (ML) models are a topic of gre...
Sepsis remains a leading cause of intensive care unit (ICU) mortality worldwide, and early detection...