Medical Education

Exploring pharmacy professionals insights for advancing the pharmacy curriculum: A qualitative study.

OBJECTIVE: To explore the gaps, needs, and priorities in the pharmacy curriculum of Pakistan and synthesize pharmacy professionals' perspectives to develop evidence-based recommendations for curriculum updating. METHODS: A qualitative study conducting semi-structured face-to-face interviews with 23 registered pharmacy professionals in Pakistan, consisting of academicians, hospital and clinical pha...

Cognitive and emotional dynamics of artificial intelligence-assisted English learning: A mixed-methods study in a dual instructional context.

Artificial intelligence (AI) tools have become increasingly integrated into university-level English learning, yet their pedagogical role within input-based instruction and English-medium education remains insufficiently understood. This mixed-methods study examines how first-year students in a Thai higher education institution use AI applications to support English learning, how they emotionally ...

EXPRESS: The issues of using AI in Personal Essays and Letters for Residency Application.

A large number of students are either using or are receptive to the idea of using AI to draft or refine certain components of their residency applicat...

Digital Intelligence in Dental Education: A Bibliometric Analysis.

BACKGROUND: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasi...

Incorporating critical assessment of emerging artificial intelligence tools into oral and maxillofacial pathology residency training.

Reimagining critical thinking in the age of AI: Implications for nursing education and practice.

The rapid integration of generative artificial intelligence (GenAI) into undergraduate nursing education has prompted significant debate regarding its...

Robotic credentialing and simulation-based training: An institutional perspective.

INTRODUCTION: Simulation-based training has emerged as a critical tool in the acquisition of robotic surgical skills, especially in urology, where pro...

Voices of Innovation: Reflective Report on Integrating Artificial Intelligence-Simulated Mental Health Patient Scenarios Into Undergraduate Nursing Education in the United Arab Emirates.

Limited clinical placements for mental health courses in the United Arab Emirates have made it difficult to provide consistent experiential learning f...

Trustworthy AI-Augmented Objective Structured Clinical Examinations in Nursing Education: Taiwan-Japan Viewpoint on 5 AI Roles, Governance, and Cross-Border Implementation.

Generative artificial intelligence (AI) is arriving in high-stakes assessment; however, governance, validity evidence, and faculty readiness remain un...

Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can help.

OBJECTIVE: Machine learning models (ML) often require localization to perform optimally in local populations. We hypothesize that smaller community he...

Simulating the spatial and temporal evolution of land use/cover and carbon storage based on the U-Net-Attention-ConvLSTM model: a case study of Kunming, China.

Land-use and land-cover change (LULCC) is one of the key drivers altering terrestrial ecosystem carbon storage. Accurate simulation of LULCC is crucia...

Plan A blocks in regional anaesthesia: a narrative review.

INTRODUCTION: The Plan A blocks framework was proposed in 2019 with the aim of promoting a small number of versatile, high-value regional anaesthetic ...

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 exception. As free, widely accessible AI interfaces grow...

Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study.

BACKGROUND: Artificial intelligence (AI) models are increasingly being used in medical education. Although models like ChatGPT have previously demonst...

[Reflections on a new paradigm for clinical pathology residency training in the era of artificial intelligence].

Clinical pathology, as a core discipline of medical diagnosis, is experiencing unprecedented changes and challenges, with the growing acceptance of ar...

Assessing the integration of digitalization and AI in general medicine curricula in German-speaking Europe: a comprehensive survey.

BACKGROUND: The integration of digitalisation, including artificial intelligence (AI), is becoming increasingly important in healthcare. It is transfo...

[Paradigm breakthrough in postgraduate training of acupuncture professional master's degree in modern AI-driven medical scenes].

Under the background of the rapid development of artificial intelligence (AI) technology, the postgraduate training of acupuncture professional master...

Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.

PURPOSE: Artificial intelligence (AI) is poised to revolutionise all aspects of eye care practice in the coming decades. However, not much is known ab...

From principle to practice: Developing a digital-age clinical artificial intelligence ethics competence framework through early-career doctors' experiences.

INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, clinicians encounter ethical challenges that tradit...

Decomposition based curriculum-style self-training for source-free universal domain adaptation in computational pathology.

Computational pathology models serve as crucial tools for clinical tasks such as tissue typing, alleviating the burden of manual screening of whole sl...