Medical Education

Multiscale Neural Network Potential with Anisotropic Message Passing for the Fast and Accurate Simulation of Protein Dynamics and Enzymatic Reactions.

We present the next generation of AMP, a neural network potential (NNP) with anisotropic message passing designed to study large biomolecular systems at DFT accuracy in the condensed phase using a multiscale approach similar to quantum-mechanics/molecular-mechanics (QM/MM) with electrostatic embedding. We trained AMPv3 on our recently published biomolecular multiscale simulation (BMS25) data set a...

AI In Leukemia Diagnostics: Complementing the Pathologist's Role.

Artificial intelligence (AI) is reshaping every stage of leukemia diagnostics, from digital morphology and multiparameter flow cytometry to next-generation sequencing, multi-omics analysis, and emerging computational frontiers such as quantum-inspired feature selection. This review outlines how contemporary AI tools can automate labor-intensive quantitation, flag diagnostically salient patterns, a...

From technological optimism to clinical realism: medical students' attitudes toward artificial ıntelligence and ıts career ımplications - a cross-sectional study at a Turkish Medical Faculty.

BACKGROUND: As AI integration in medicine becomes critical, this study evaluated medical students' attitudes and knowledge regarding AI and determined...

Indirect methods for the verification of reference intervals in laboratory medicine.

Despite the obligation imposed by national and international accreditation standards to periodically verify reference intervals against local conditio...

Closing the Feedback Loop: The Feed Protocol for AI-Driven Curricular Reform in Surgical Residency.

OBJECTIVE: The American Board of Surgery In-Training Examination (ABSITE) assesses surgical resident knowledge, but manual analysis of program-wide da...

The fetoneonatology fellowship: a unified subspecialty for the fetal-neonatal continuum.

Advances in fetal diagnosis and therapy have created a need for clinicians with expertise spanning prenatal assessment and neonatal care. Current mate...

From Using AI to Relating Through AI: A Postphenomenological and Reflexive Inquiry Into Nursing Education in Developing Country Contexts.

Artificial intelligence (AI) technologies are increasingly integrated into nursing education often framed as neutral tools that enhance learning effic...

What AI Cannot Teach: An Epistemological Reconceptualisation of the Nurse Educator Role Based on an Analysis of Carper's Ways of Knowing.

The rapid integration of artificial intelligence into healthcare and education is transforming how nurses teach, learn and acquire knowledge. Despite ...

The Empirical Bayes Variational Autoencoder-A Neural ODE Approach for Population Modeling in Pharmacology.

Variational autoencoders (VAEs) combined with neural ordinary differential equations provide a flexible framework for exploring neural latent-variable...

Utilization of Artificial Intelligence as Simulated Patients to Enhance Student Interviewing Skills in the Pharmacy Curriculum Across Multiple Programs.

BACKGROUND: Traditional methods to practice patient interviewing skills for student pharmacists include the use of actors and role-playing. While effe...

Computational validation of a wearable biomechanical sensor network framework for real-time fatigue monitoring and performance prediction in gymnastic training.

This study introduces a simulation-based wearable biomechanical sensor network framework intended to support real-time fatigue monitoring and performa...

Artificial Intelligence Use Among Occupational Therapy Students in Academic and Fieldwork Education.

BACKGROUND: Artificial intelligence (AI) use is rapidly emerging in health care and health professions education; there is limited literature to guide...

Iterative Multidisciplinary Development and Evaluation of a Patient-Facing SDoH Chatbot Using Synthetic Data Simulation.

BACKGROUND: Systematic collection of social determinants of health (SDoH) data remains inconsistent across healthcare settings, despite its critical i...

Teaching AI ethics in medical schools: a scoping review protocol on the ethical-technical balance in curricular frameworks.

INTRODUCTION: The rapid integration of artificial intelligence (AI) technologies in healthcare, ranging from diagnostic tools to clinical decision sup...

Transformer-based temporal models for probabilistic load and photovoltaic power forecasting in commercial microgrids.

In commercial microgrids, for effective energy management and reliable decision-making, it is imperative to include the uncertainties in load demands ...

FedFound: a federated foundation model for lifespan brain morphological connectome analysis.

The brain morphological connectome derived from structural MRI reflects inter-regional morphological relationships, providing a powerful representatio...

Dynamic low-altitude airspace partitioning and management strategy optimization based on graph neural networks and spatial cognitive constraints.

The rapid expansion of urban air mobility operations demands adaptive airspace management approaches that transcend traditional static sectorization. ...

Comparative Evaluation of Large Language Models for Surgical Case Creation.

OBJECTIVE: To evaluate and compare the performance of five large language models (LLMs)-ChatGPT-4o (OpenAI), Claude-3.5-sonnet (Anthropic), Gemini-2.0...

Data-driven approaches for predictive modeling of N77/N78 band 5G microstrip patch array antenna using curve fitting and supervised regression.

This paper deals with the design of a single-element and [Formula: see text] bandwidth microstrip patch array antennas for N77/N78 band applications. ...

Supporting Radiology Resident Education and Clinical Decision-Making With Large Language Models: Comparative Study of Reasoning Models DeepSeek-R1 and ChatGPT-o1.

BACKGROUND: Radiology trainees require efficient, accurate, and accessible resources to master complex imaging techniques and identify findings that g...