Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
INTRODUCTION: The rapid development of conversational agents, or chatbots, in mental health is part ...
CONTEXT: TODD-Graphene (TODD-G), a porous two-dimensional carbon allotrope composed of interconnecte...
Mandibular odontogenic cysts can complicate surgical planning if located near the mandibular canal. ...
OBJECTIVE: To designe a clinical trial image medical record desensitization system based on artifici...
Semantic segmentation of high-resolution remote sensing imagery in complex urban scenes often suffer...
Boundary extension refers to the tendency to remember scenes as having wider boundaries than were ph...
INTRODUCTION: The evolving role of radiographers in Preliminary Clinical Evaluation (PCE), alongside...
Artificial Intelligence (AI) language models are increasingly used in higher education. Many student...
In this Viewpoint, we highlight the principal cybersecurity measures that should be implemented to f...
PURPOSE: Parenchyma-sparing hepatectomy planning depends on accurate resection zones that preserve f...
PURPOSE/OBJECTIVES: Immersive educational technologies, including applications of artificial intelli...
CT/MRI adipose tissue segmentation underpins body-composition and medical-imaging AI research, yet r...
BACKGROUND: AI is rapidly transforming clinical nursing, promising administrative relief and decisio...
Purpose Assessment of reflective and professionalism-focused writing is a critical component of heal...
Artificial intelligence (AI) is increasingly influencing anatomical education, research, scholarly p...
PROBLEM: Concordance-based tools, such as the Concordance of Professional Judgment (CoPJ) tool, allo...
Objectives. To develop and evaluate human-centered artificial intelligence (AI) models that identify...
As artificial intelligence (AI) based tools increasingly enter mental health care, clinicians face n...
BackgroundThe increasing integration of generative artificial intelligence into organizational work ...
BACKGROUND: AI-enabled voice electronic medical records (EMRs) are increasingly promoted as tools to...
Objective.Existing sleep stage classification methods generally rely on a closed set assumption. The...