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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 reliability remains a critical concern, particularly for tu...

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

Proteins exist as conformational ensembles, with dynamic transitions governing biological processes. Deciphering these dynamics demands integrating ex...

Fecal and colonic microbiota differ in composition, function, diagnostic utility and correlation with inflammatory cytokines in ulcerative colitis.

Fecal samples have been frequently used to investigate ulcerative colitis (UC)-related gut microbiota study due to their easy availability. However, w...

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 methodological and applied implications. Clusterin...

Modeling Human Expertise in a Sanding Task.

ObjectiveSanding strategies were identified that correlated with better performance and less physical stress.BackgroundSanding requires manual skill b...

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 susceptibility to corrosion, controlling the balance betwee...

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 physicians (EPs) at particularly high risk. Documentation b...

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 is often hindered by a shortage of dental professi...

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 parallel dimensions of health system digital transfo...

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 (EHRs), remains a major challenge in clinical care. A...

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 clinical diagnosis. MATERIALS AND METHODS: We audited ...

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 minimum dietary diversity remain below the recomm...

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 physician burnout. Human scribes reduce documentati...

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 positive relationships, yet becomes increasingly ...

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. While such training datasets play a key role in ...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis suppurativa are associated with a high burden of ps...

Comparison of the performance of ChatGPT Plus, Gemini Pro, and experienced nurses in pediatric emergency triage using physician reference assessment: A prospective observational study.

AIM: We aimed to evaluate the performance of ChatGPT Plus and Gemini Pro, two large language model-based artificial intelligence (AI) tools, to predic...

Structural diversity and chemical space analysis of a PROTAC database using unsupervised machine learning.

Targeted protein degradation (TPD) mediated by proteolysis-targeting chimeras (PROTACs) has emerged as a powerful therapeutic strategy, enabling the c...