Medical Education

The role of emerging technology in expanding regional anesthesia education and patient access.

PURPOSE OF REVIEW: The purpose of this article is to identify promising technologies that can enhance core regional anesthesia training, competence, and global implementation, which will lead to both expansion in patient access and improvements in perioperative outcomes. RECENT FINDINGS: Artificial intelligence software embedded in ultrasound equipment can now generate real-time anatomical overlay...

Preliminary evaluation of an AI-enhanced simulated interprofessional learning intervention for pharmacy students: a mixed-methods pilot study.

BACKGROUND: Interprofessional education (IPE) is vital for preparing pharmacy students for collaborative practice but is often constrained by logistical challenges. This study examined the preliminary impact of an AI-enhanced simulated interprofessional learning intervention on pharmacy students' self-reported interprofessional competencies and perceived readiness for AI use in healthcare, using a...

AI Integration in Spanish Undergraduate Medical Education: National Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is reshaping clinical practice and redefining the competencies future physicians will need. International bod...

Can Artificial Intelligence Replicate Human Qualitative Analysis?

INTRODUCTION: Qualitative research is essential in surgical education for exploring complex social phenomena. However, thematic analysis is time-inten...

A data-driven framework for assessing structural heterogeneity and nonlinear performance in university sports governance.

University sports governance is a complex system constrained by multiple competing objectives, including resource allocation, participation equity, op...

From deep learning-based toxicity prediction to theoretical simulation-based mechanism analysis: A case study of 33 typical pesticides and their transformation products.

Pesticides and their transformation products (TPs) have long been recognized as classical environmental pollutants in agricultural systems, posing rec...

Career anxiety in the age of artificial intelligence: Survey data of university students in Bangladesh.

Career anxiety has become a significant issue in today's world, particularly in developing countries where job opportunities are scarce compared to th...

EXPRESS: Effect of the Use of Artificial Intelligence Tools on Clinical Education and Clinical Decision-Making of Medical Students During Clinical Rotations: A Scoping Review.

Medical education is transforming due to new technologies such as artificial intelligence (AI). Although AI is being considered for medical education,...

Virtual photon-counting micro-CT platform for simulation of head and neck cancer imaging in mice.

OBJECTIVE: Our goal was to develop a simulation platform for photon-counting CT (PCCT) imaging in mouse models of head and neck squamous cell carcinom...

A MOOC-based and high-fidelity surgical simulation-integrated clinical internship mode in optometry teaching for ophthalmology graduate students.

BACKGROUND: Clinical medicine postgraduates are expected to attain competencies equivalent to senior resident physicians. However, ophthalmology gradu...

Educational Frameworks for Diagnostic Decision-Making in AI-Enhanced Head and Neck Pathology.

CONTEXT: This paper examines how artificial intelligence (AI) is reshaping diagnostic decision-making in academic and clinical head and neck pathology...

Physical Attractiveness and Chances of Being Invited to Interview With a Medical Residency Program: Retrospective Cohort Study.

BACKGROUND: Applicants participating in the Residency Match generally submit a photograph through the Electronic Residency Application Service (ERAS)....

AI-Assisted Formative Assessment in Clinical Education: From Algorithms to Agency.

Artificial intelligence (AI) is rapidly reshaping clinical education by embedding assessment and feedback into everyday learning activities. Medical s...

Content Validation of the AI-TPACK-E: Assessing AI Literacy Among Nurse Educators.

There is a critical need to assess nurse educators' competencies in artificial intelligence (AI), yet no validated assessment tool currently exists to...

Amorphous metal-oxide semiconductor thin-film neuron, synapse, and neuromorphic system.

Artificial intelligence will spread exponentially and requires compact size and energy efficiency, for which one solution is neuromorphic systems. On ...

Predicting student grades via adaptive multi-level learning models.

Educational institutions increasingly rely on intelligent systems to extract actionable insights from student data. One critical application is the ea...

Demographic-aware temporal graph attention for fair and accurate cardiac abnormality detection in 12-lead ECG.

Automated 12-lead ECG interpretation has achieved strong diagnostic accuracy through deep learning, yet systematic demographic disparities-particularl...

MRISce: an interactive autonomous driving test scenario generation method based on multi-agent reinforcement learning.

Road safety remains the primary objective in the development and validation of autonomous driving systems. Scenario-based simulation testing provides ...

Narrative Review on History of Point-of-Care Ultrasound Training in Critical Care.

INTRODUCTION/PURPOSE: Point-of-care ultrasound (PoCUS) has evolved from bulky radiology-based machines to a core bedside tool in critical care. Traini...

Application of artificial intelligence-generated clinical cases in case-based learning of histology and embryology.

To investigate the effectiveness of a case-based learning (CBL) approach in histology and embryology, integrating instructor-reviewed, AI-assisted cli...