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Machine learning assisted single-molecule sensing towards standard-free quantification of per- and polyfluoroalkyl carboxylic acids.

Per- and polyfluoroalkyl carboxylic acids (PFCAs) are of global concern for their ubiquitous presenc...

'RAMmageddon' hits labs: AI-driven memory shortage is impacting science.

AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study.

BACKGROUND: Mental health providers (MHPs) face a significant administrative burden from documentati...

Integrating a Large Language Model to Streamline Nursing Handover Documentation Across Multiple Hospitals in Taiwan: Development and Implementation Study.

BACKGROUND: The global nursing shortage, exacerbated by heavy workloads and high turnover rates asso...

[Application of artificial intelligence in pathological diagnosis of ocular tumors].

Ocular tumors encompass ocular surface tumors, orbital tumors, and intraocular tumors, characterized...

Synthetic data-driven deep learning for label-free autonomous atomic force microscopy.

Atomic force microscopy (AFM) is a widely used tool for nanoscale characterization across materials ...

Artificial Intelligence in Military Graduate Medical Education: Trainee Perceptions and Current Use.

ISSUE: Interest in artificial intelligence (AI) has surged recently, with healthcare being no except...

Machine learning approaches to quantify nanoscale variations in the mechanical properties of soft nanoparticles.

We use machine learning to analyze atomic force microscopy-force spectroscopy (AFM-FS) measurements ...

Telepathology and Mobile Health System for Province-Wide Pathology Consultation in Henan, China: Retrospective Evaluation Study.

BACKGROUND: Telepathology has emerged as a transformative digital health solution to address the glo...

Machine learning in the analysis of mental health at work: a scoping review.

OBJECTIVES: This scoping review aims to assess the role of machine learning in workplace mental heal...

Comparison of Emotional Content in Text Responses From Physicians and AI Chatbots to Patient Health Queries: Cross-Sectional Study.

BACKGROUND: Surveys show that many people are willing to use generative artificial intelligence (AI)...

Integrating contrastive cross-modal attention and stacked GRU for hand function rehabilitation robot control.

With the intensification of population aging and the increasing incidence of neurological diseases, ...

Artificial intelligence algorithm optimization and application in patient-based real-time quality control (PBRTQC).

Patient-based real-time quality control (PBRTQC) serves as a vital supplement to quality management ...

Serum Element-Driven Gut Microbial Disturbances and Their Predictive Implications for Gestational Dyslipidemia: A Prospective Birth Cohort Study.

Pregnancy-triggered shifts in maternal serum elements and gut microbiota may disrupt metabolic balan...

Evaluation of Otolaryngology Provider Bias in Portal Messaging.

BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked...

Public Perceptions of Artificial Intelligence in Medicine and Implications for Future Medical Education: A Cross-Sectional Survey.

BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is contingent on ...

Artificial Intelligence-Enhanced Remediation: Improving Process and Accreditation Compliance.

INTRODUCTION: Physician assistant programs must provide effective remediation to support struggling ...

From science fiction to operating room: Representations of surgery and AI in film and their ethical implications.

This paper examines the intricate relationship between surgical practice, artificial intelligence (A...

SASG-DA: Sparse-Aware Semantic-Guided Diffusion Augmentation For Myoelectric Gesture Recognition.

Surface electromyography (sEMG)-based gesture recognition plays a critical role in human-machine int...

A Hybrid Physics-Driven Neural Network Force Field for Liquid Electrolytes.

Electrolyte design plays an important role in the development of lithium-ion batteries and sodium-io...

Cultivating Clarity: Integrating Zen-Informed Principles Into Contemporary Radiology Practice.

Modern radiology requires sustained attention, rapid decision-making, and emotional resilience amid ...