Work Force

Automatic metabolic breast cancer staging using [¹⁸F]FDG PET/CT: comparison with nuclear medicine physician-based and clinical staging.

PURPOSE: This study aimed to evaluate a deep-learning (DL)-based framework to automatically perform ...

Unmasking bias in artificial intelligence: sex and racial representation in critical care medicine through text-to-image generators.

BACKGROUND: The development of artificial intelligence (AI) has revolutionised medicine, impacting a...

Artificial intelligence in geriatric healthcare: a scoping review.

BACKGROUND: Deep demographic ageing is triggering a twin crisis in healthcare: a rising prevalence o...

Artificial intelligence chain-of-thought reasoning in nuanced medical scenarios: mitigation of cognitive biases through model intransigence.

BACKGROUND: Artificial intelligence large language models (LLMs) are increasingly used to inform cli...

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics.

Ferroelectric materials with switchable spontaneous polarization underpin non-volatile memories, tra...

Reply to "Artificial Intelligence in Radiology: The Paradox Between Efficiency and Burnout".

Artificial Intelligence in Radiology: The Paradox Between Efficiency and Burnout.

Uncertainty-aware 3D tumor segmentation with deep ensembles: an evaluation of temporal versus data diversity.

Artificial intelligence (AI) is transforming segmentation tasks in radiotherapy, but model reliabili...

AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.

Proteins exist as conformational ensembles, with dynamic transitions governing biological processes....

Exploring cognitive diversity in a sample of children from Unsatisfied Basic Needs homes.

Child diversity has become an increasingly relevant topic in developmental science with significant ...

Modeling Human Expertise in a Sanding Task.

ObjectiveSanding strategies were identified that correlated with better performance and less physica...

Atomic Insights into Corrosion of Cobalt in Aqueous Environment: Development of ReaxFF with an Active Learning Framework.

Cobalt (Co) has emerged as a promising interconnect material to replace copper. Due to its susceptib...

Ambient Artificial Intelligence Scribes in the Emergency Department: A Scoping Review of Current Evidence.

BACKGROUND: Burnout affects nearly half of physicians in the United States, with emergency physician...

Deep learning models for the detection of dental-findings and tooth-types using video data.

BACKGROUND: Oral diseases have an estimated incidence of 35.5% worldwide, yet access to dental care ...

Telehealth Scale and Artificial Intelligence Adoption Tiers Across Clinical and Operational Domains in US Hospitals: Cross-Sectional Study.

BACKGROUND: Telehealth expansion and artificial intelligence (AI) adoption are often described as pa...

From Burden to Balance: Trends in Documentation Workload with Ambient AI Scribe Adoption.

BACKGROUND: Physician burnout, often driven by documentation burden in electronic health records (EH...

Reasoning or reciting? A temporal contamination audit of large language models in clinical medicine.

OBJECTIVE: Evaluate whether large language models reason or simply regurgitate training data in clin...

Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability.

BACKGROUND: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and...

Medical Scribe and Ambient Artificial Intelligence Impact on Emergency Physician Documentation Burden and Clinical Productivity.

STUDY OBJECTIVE: Emergency physicians experience substantial documentation burden, contributing to p...

Barriers and Facilitators to Physician-Patient Communication in Chinese Tertiary Hospitals From the Perspectives of Hospital-Based Physicians and Patient Relations Coordinators: Qualitative Study.

BACKGROUND: Effective physician-patient communication is essential for building trust and sustaining...

Linguistic diversity in machine learning training data: Content analysis of English and Finnish soundscape descriptions in audio captioning.

This article examines descriptions of auditory experiences used as training data in machine learning...