Python-Streamlit web application to enhance evidence-based medicine education for first year medical students
Patchigolla, V.; Jhand, A. S.; Lee, H. J.; Benjamins, L. J.
Show abstract
Evidence-based medicine (EBM) concepts are difficult for medical students to grasp. We developed a Python-Streamlit web application providing interactive visualizations to enhance EBM education. Preliminary use with first year medical students demonstrated high engagement and improved conceptual understanding, supporting the feasibility of integrating interactive, web-based tools into EBM curricula.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Large language models for generating medical examinations: systematic review 94%
- Team-Based Learning Versus Lecture-Based Instruction for Chest Radiograph Interpretation in Physician Associate Education: A Quasi-Experimental Study 93%
- Evaluation of Statistical Illiteracy in Latin American Clinicians and of the Efficacy of a 10-Hour Course 93%
Similar papers in this journal
- Medical Clinical Minds Meet Artificial Intelligence: Italian Physicians' Knowledge, Attitudes, and Concordance between Italian Physicians and AI-Generated Diagnoses. A National Cross-Sectional Study 95%
- Large Language Models in Real-World Clinical Workflows: A Systematic Review of Applications and Implementation 93%
- Development and Validation of a Machine Learning Model Integrated with the Clinical Workflow for Inpatient Discharge Date Prediction 91%
Similar papers in this journal
- A typology of physician input approaches to using AI chatbots for clinical decision-making: a mixed methods study 94%
- Utilization of Generative AI-drafted Responses for Managing Patient-Provider Communication 93%
- International Electronic Health Record-Derived COVID-19 Clinical Course Profiles: The 4CE Consortium 93%
Similar papers in this journal
- Usability of a Machine-Learning Clinical Order Recommender System Interface for Clinical Decision Support and Physician Workflow 95%
- What Do Clinicians Edit in Ambient AI-Drafted Clinical Documentation? A Qualitative Content Analysis 94%
- Empowering Personalized Pharmacogenomics with Generative AI Solutions 94%
Similar papers in this journal
- Improving Patient Engagement in Phase 2 Clinical Trials with a Trial-specific Patient Decision Aid (tPDA): A Development and Usability Study 94%
- Design and implementation of a system for automated monitoring of adherence to evidenced-based clinical guideline recommendations 94%
- Development of an interactive open source software application (RadaR) for infection management / antimicrobial stewardship 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.