Latest AI and machine learning research in state required cme for healthcare professionals.
Age-related cognitive dysfunction, including mild cognitive impairment and dementia, underscores the...
BACKGROUND: Manual chart abstraction from electronic health records is a critical step in clinical o...
The convergence of artificial intelligence (AI), blockchain technology, and health care represents o...
BACKGROUND: Computational prediction of drug-target interaction (DTI) is critical for drug discovery...
INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), res...
Despite diagnosis accuracy has been much improved by depending more on deep learning for disease cla...
Heart failure management in skilled nursing facilities (SNFs) is complicated by limited access to sp...
Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vu...
HIPAA breaches and unauthorized access to Electronic Health Records (EHRs) have been growing more li...
Federated Learning enables collaborative AI development in healthcare without sharing patient data, ...
This SaNuRN initiative developed a teaching module on applied AI for health residents, fellows, and ...
INTRODUCTION: With an aging population in the United States, the demand for joint arthroplasty proce...
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is ex...
Deep learning on medical images classification intervention needs to use large data on multi-institu...
INTRODUCTION: In older adults with cancer, geriatric assessment (GA) can improve care quality. In-pe...
BACKGROUND: The American Society of Clinical Oncology (ASCO) convened a multidisciplinary panel in 2...
BACKGROUND: Radiologist burnout affects approximately 40% of US radiologists. Large language models ...
BACKGROUND: Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decisio...
Federated Learning (FL) offers a privacy-enhancing architecture for training artificial intelligence...
OBJECTIVES: To evaluate the feasibility of a large language model (LLM)-based chatbot for answering ...
STUDY OBJECTIVE: To assess the feasibility and acceptability of using ChatGPT to obtain histories of...