Medical Education

Development of a GPT-4-Powered Virtual Simulated Patient and Communication Training Platform for Medical Students to Practice Discussing Abnormal Mammogram Results With Patients: Multiphase Study.

BACKGROUND: Standardized patients (SPs) prepare medical students for difficult conversations with patients. Despite their value, SP-based simulation training is constrained by available resources and competing clinical demands. Researchers are turning to artificial intelligence and large language models, such as generative pretrained transformers, to create communication training that incorporates...

Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application.

Hierarchical mixed-effects models with three trees-3Trees models-are a new advanced statistical learning approach in mixed-effect modeling. These methods utilize the classification and regression trees (CART) algorithm to select the best tree through a backfitting algorithm. However, this algorithm relies on a greedy approach, making the trees prone to overfitting, biased in split selection, and o...

Joint identification of hydraulic conductivity and groundwater pollution sources using unscented Kalman smoother with multiple data assimilation and deep learning.

Identification of groundwater pollution sources (IGPSs) is a prerequisite for pollution remediation and pollution risk prediction. Data assimilation a...

HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification.

Fine-grained classification of whole slide images (WSIs) is essential in precision oncology, enabling precise cancer diagnosis and personalized treatm...

Curriculum is more influential than haptic feedback when learning object manipulation.

Dexterous manipulation remains an aspirational goal for autonomous robotic systems, particularly when learning to lift and rotate objects against grav...

Integration of Artificial Intelligence in Nursing Simulation Education: A Scoping Review.

BACKGROUND: Artificial intelligence (AI) integration in nursing simulation education is growing, yet understanding its implementation across simulatio...

Semantic Clinical Artificial Intelligence vs Native Large Language Model Performance on the USMLE.

IMPORTANCE: Large language models (LLMs) are being implemented in health care. Enhanced accuracy and methods to maintain accuracy over time are needed...

Artificial intelligence chatbots in endodontic education-Concepts and potential applications.

The integration of artificial intelligence (AI) into education is transforming learning across various domains, including dentistry. Endodontic educat...

Improving realism in abdominal ultrasound simulation combining a segmentation-guided loss and polar coordinates training.

BACKGROUND: Ultrasound (US) simulation helps train physicians and medical students in image acquisition and interpretation, enabling safe practice of ...

Response to: Applicant essays and recommendation letters in residency selection: How generative artificial intelligence is changing them.

Surrogate Model Development for Digital Experiments in Welding.

The manufacturing industry heavily relies on welding processes to join materials, forming integral components across various sectors. Many aspects wil...

Digital transformation of nephrology POCUS education-Integrating a multiagent, artificial intelligence, and human collaboration-enhanced curriculum with expert feedback.

BACKGROUND: The digital transformation in medical education is reshaping how clinical skills, such as point-of-care ultrasound (POCUS), are taught. In...

Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.

Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasound (ABUS) is crucial for clinical diagnosis and tr...

Performance of Plug-In Augmented ChatGPT and Its Ability to Quantify Uncertainty: Simulation Study on the German Medical Board Examination.

BACKGROUND: The GPT-4 is a large language model (LLM) trained and fine-tuned on an extensive dataset. After the public release of its predecessor in N...

Infusing Multi-Hop Medical Knowledge Into Smaller Language Models for Biomedical Question Answering.

MedQA-USMLE is a challenging biomedical question answering (BQA) task, as its questions typically involve multi-hop reasoning. To solve this task, BQA...

Weighted Multi-Modal Contrastive Learning Based Hybrid Network for Alzheimer's Disease Diagnosis.

Multiple imaging modalities and specific proteins in the cerebrospinal fluid, providing a comprehensive understanding of neurodegenerative disorders, ...

A hybrid vine copula-fuzzy model for groundwater level simulation under uncertainty.

Accurate simulation of groundwater level is crucial for the sustainable management of water resources. However, the numerous uncertainties in input da...

Accelerated Missense Mutation Identification in Intrinsically Disordered Proteins Using Deep Learning.

We use a combination of Brownian dynamics (BD) simulation results and deep learning (DL) strategies for the rapid identification of large structural c...

Enhancing Patient-Physician Communication: Simulating African American Vernacular English in Medical Diagnostics with Large Language Models.

UNLABELLED: Effective communication is crucial in reducing health disparities. However, linguistic differences, such as African American Vernacular En...

Leveraging Generative Artificial Intelligence to Improve Motivation and Retrieval in Higher Education Learners.

Generative artificial intelligence (GenAI) presents novel approaches to enhance motivation, curriculum structure and development, and learning and ret...