Latest AI and machine learning research in ethics for healthcare professionals.
INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily due to diagnosis at advanced stages. Although low-dose computed tomography (LDCT) screening reduces lung cancer mortality in high-risk populations, current screening programmes are largely restricted to individuals defined by age and smoking history. This approach excludes never-smokers and individ...
The growing use of artificial intelligence (AI) in medicine has highlighted the imperative for privacy-preserving and high-accuracy diagnostic systems. Traditional federated learning (FL) solutions allow multi-institutional collaborative training of a model without sharing raw patient data, but they tend to suffer from heterogeneous, multi-modal data, limited resilience to noisy or imbalanced data...
BACKGROUND: Generative artificial intelligence (GenAI) is increasingly influencing nursing practice and education, yet a gap remains between technolog...
Pharmacy preceptors are central to experiential learning, yet there is a lack of guidance on how to integrate generative artificial intelligence (GenA...
In this article, we investigate the task optimization for fixed-time control of intermittent human-robot interaction, where a human operator assists t...
Predicting pharmacokinetic (PK) profiles from molecular structures represents a significant advancement in pharmaceutical research with substantial im...
Human-in-the-loop oversight is widely invoked as a safeguard against potential harm from artificial intelligence (AI) used in health care, yet it func...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in dentistry to enhance diagnosis and treatment planning. Its integration raises ethi...
Artificial intelligence (AI) scribes using ambient documentation technology that capture clinician-patient dialogue and auto-generate visit notes prom...
INTRODUCTION: Sarcoidosis is a heterogeneous granulomatous disease with highly variable clinical trajectories, yet no validated biomarkers exist to di...
Artificial intelligence (AI) is increasingly integrated in sustainability governance, yet most applications remain oriented towards optimisation and p...
BACKGROUND: Hypoglossal neuropathy is the most common lower cranial neuropathy detected as a delayed sequelae of Human Papillomavirus (HPV) -driven or...
BACKGROUND: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial e...
BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and clinical practice. However, its use during clinica...
BACKGROUND AND OBJECTIVE: With the rapid growth of internet technologies, the transmission and storage of multimedia data have become increasingly con...
RATIONALE AND OBJECTIVES: Radiation dose reduction in pediatric chest radiography is a clinical priority due to increased radiosensitivity and cumulat...
AIMS: The United States Drug Enforcement Administration's (DEA) proposed rescheduling of cannabis from Schedule I to Schedule III under the Controlled...
Aggression may be behaviorally distinguished by reactive or appetitive properties. Here, we use a model of operant aggression administration, in which...
BACKGROUND: This study examines the evolving role of Artificial Intelligence (AI) in developmental disability education, focusing on the shift from di...
Algorithms that support screening, triage, and treatment decisions depend on training data drawn from patient populations. Limited access to patient-l...