Latest AI and machine learning research in cultural competence for healthcare professionals.
BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to detect preoperative muscle invasion, high-grade tumors, human epidermal growth factor receptor 2 expression, and other risk factors for bladder cancer. However, systematic evidence proving its effectiveness remains lacking. OBJECTIVE: This study aimed to evaluate the performance of radiomics-based mac...
OBJECTIVE: Though subgroup performance reporting helps ensure the safety of artificial intelligence (AI) products, the extent of this reporting remains unclear. This scoping review identifies studies validating commercially available AI-based products and reports the trends in performance reporting across sex, age, and race/ethnicity demographic subgroups. MATERIALS AND METHODS: Peer-reviewed vali...
Natural language processing (NLP)-enabled artificial intelligence (AI) conversational agents (CAs) are increasingly adopted in digital mental health i...
BACKGROUND: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and minimum dietary diversity remain below the recomm...
BACKGROUND: Large language models (LLMs) are increasingly used by patients for health information and preliminary medical advice. In patient-facing co...
The concept of algorithmic fairness is intricate and multifaceted, concerning the equitable treatment of individuals or groups by algorithms in data p...
Platelet-biased hematopoietic stem cells (PLT-HSCs) play key roles in normal physiology, aging, and blood cancer. However, currently, no markers allow...
This article examines descriptions of auditory experiences used as training data in machine learning. While such training datasets play a key role in ...
BACKGROUND: Intraoperative bleeding is a critical event that impacts surgical safety and patient outcomes. Machine learning (ML) has demonstrated pote...
Every year, millions of patients pass through emergency departments and intensive care units where clinicians must make life-altering decisions under ...
Targeted protein degradation (TPD) mediated by proteolysis-targeting chimeras (PROTACs) has emerged as a powerful therapeutic strategy, enabling the c...
Simulation-based education has become widely embedded in health professional training and is increasingly positioned as a solution to clinical placeme...
SIGNIFICANCE: Pediatric pressure injuries (PIs) are a distinct and preventable clinical challenge, yet risk prediction models tailored to children rem...
Artificial intelligence (AI) and machine learning (ML) have demonstrated strong diagnostic and prognostic performance across cardiovascular medicine. ...
This study evaluated whether embedding diagnostic expectations within prompts biases large language model (LLM) classification of left ventricular eje...
Despite achieving substantial progress in caloric food security, micronutrient deficiencies remain a major global health challenge, highlighting a per...
Island coastal aquifers, though spatially limited, sustain key ecosystem functions linked to locally critical provisioning, maintenance and cultural e...
OBJECTIVE: To critically evaluate machine learning (ML) models developed for predicting radiation-induced oral mucositis (OM) in head and neck cancer ...
Given the diversity of human characteristics and experiences, personalization in nudges, messages, choice presentations, interventions, and overall pr...
The sky islands of Southwest China are biodiversity hotspots, where geographic isolation has led to allopatric diversification and cryptic speciation....