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Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and Validation
Data Set and Benchmark (MedGPTEval) to Evaluate Responses From Large Language Models in Medicine: Evaluation Development and Validation
Background: Large language models (LLMs) have achieved great progress in natural language processing tasks and demonstrate...
Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study
Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study
Background: Named entity recognition (NER) is a fundamental task in natural language processing. However, it is typically ...
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Privacy-Preserving Prediction of Postoperative Mortality in Multi-Institutional Data: Development and Usability Study
Background: To circumvent regulatory barriers that limit medical data exchange due to personal information security concer...
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review
Background: Some research has already reported the diagnostic value of artificial intelligence (AI) in different endoscopy...
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
Background: Large language models show promise for improving radiology workflows, but their performance on structured radi...
Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline
The growing adoption and utilization of health information technology has generated a wealth of clinical data in electroni...
AI: Bridging Ancient Wisdom and Modern Innovation in Traditional Chinese Medicine
AI: Bridging Ancient Wisdom and Modern Innovation in Traditional Chinese Medicine
The pursuit of groundbreaking health care innovations has led to the convergence of artificial intelligence (AI) and tradi...
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
Considerations for Quality Control Monitoring of Machine Learning Models in Clinical Practice
Integrating machine learning (ML) models into clinical practice presents a challenge of maintaining their efficacy over ti...
User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study
User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study
Background: Self-administered web-based questionnaires are widely used to collect health data from patients and clinical r...
How to Elucidate Consent-Free Research Use of Medical Data: A Case for “Health Data Literacy”
How to Elucidate Consent-Free Research Use of Medical Data: A Case for “Health Data Literacy”
The extensive utilization of personal health data is one of the key success factors of modern medical research. Obtaining ...
Comparison of Synthetic Data Generation Techniques for Control Group Survival Data in Oncology Clinical Trials: Simulation Study
Comparison of Synthetic Data Generation Techniques for Control Group Survival Data in Oncology Clinical Trials: Simulation Study
Background: Synthetic patient data (SPD) generation for survival analysis in oncology trials holds significant potential f...
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study
Background: Diagnostic errors pose significant health risks and contribute to patient mortality. With the growing accessib...
Event Analysis for Automated Estimation of Absent and Persistent Medication Alerts: Novel Methodology
Event Analysis for Automated Estimation of Absent and Persistent Medication Alerts: Novel Methodology
Background: Event analysis is a promising option to estimate the acceptance of medication alerts issued by computerized ph...
A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study
A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study
Background: Despite restrictive opioid management guidelines, opioid use disorder (OUD) remains a major public health conc...
Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis
Examining Linguistic Differences in Electronic Health Records for Diverse Patients With Diabetes: Natural Language Processing Analysis
Background: Individuals from minoritized racial and ethnic backgrounds suffer from pernicious and pervasive health dispari...
The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
Background: A large language model (LLM) is a type of artificial intelligence (AI) model that opens up great possibilities...
Machine Learning Models for Parkinson Disease: Systematic Review
Machine Learning Models for Parkinson Disease: Systematic Review
Background: With the increasing availability of data, computing resources, and easier-to-use software libraries, machine l...