AIMC Topic: Reproducibility of Results

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Investigating the role of large language models on questions about refractive surgery.

International journal of medical informatics Jan 6, 2025
BACKGROUND: Large language models (LLMs) are becoming increasingly popular and are playing an important role in providing accurate clinical information to both patients and physicians. This study aimed to investigate the effectiveness of ChatGPT-4.0,...
Large Language Models Reproducibility of Results Surveys and Questionnaires Refractive Surgical Procedures Humans Comprehension Language Female
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Coronary health index based on immunoglobulin light chains to assess coronary heart disease risk with machine learning: a diagnostic trial.

Journal of translational medicine Jan 6, 2025
BACKGROUND: Recent studies suggest a connection between immunoglobulin light chains (IgLCs) and coronary heart disease (CHD). However, current diagnostic methods using peripheral blood IgLCs levels or subtype ratios show limited accuracy for CHD, lac...
Immunoglobulin Light Chains Machine Learning Female Risk Assessment Aged Humans Reproducibility of Results ROC Curve Male Risk Factors Area Under Curve Middle Aged Coronary Disease
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External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.

BMC medical informatics and decision making Jan 6, 2025
BACKGROUND: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new h...
Humans Machine Learning Intensive Care Units Reproducibility of Results
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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs.

International dental journal Jan 5, 2025
OBJECTIVE: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models.
Predictive Learning Models Maxilla Skull Base Adolescent Development Humans Retrospective Studies Predictive Value of Tests Radiography Cephalometry Random Forest Child Reproducibility of Results Mandible Face Male Puberty Random Allocation Adolescent Regression Analysis Incisor Body Size
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Enhancing lipid identification in LC-HRMS data through machine learning-based retention time prediction.

Journal of chromatography. A Jan 3, 2025
The comprehensive identification of peaks in untargeted lipidomics using LC-MS/MS remains a significant challenge. Confidence in lipid annotation can be greatly improved by integrating a highly accurate machine learning-based retention time predictio...
Machine Learning Reproducibility of Results Chromatography, Liquid Lipids Tandem Mass Spectrometry Lipidomics
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ChatGPT's Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study.

JMIR formative research Jan 3, 2025
BACKGROUND: The increasing use of ChatGPT in clinical practice and medical education necessitates the evaluation of its reliability, particularly in geriatrics.
Clinical Competence Health Knowledge, Attitudes, Practice Practice Patterns, Physicians' Female Reproducibility of Results Aged Adult Students, Medical Male Surveys and Questionnaires Humans Artificial Intelligence Geriatrics
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Machine learning-assisted construction of COPD self-evaluation questionnaire (COPD-EQ): a national multicentre study in China.

Journal of global health Jan 3, 2025
BACKGROUND: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worldwide. We aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China.
Humans Machine Learning Prospective Studies Female Middle Aged China Surveys and Questionnaires Delphi Technique Reproducibility of Results Aged Pulmonary Disease, Chronic Obstructive Male Mass Screening Diagnostic Self Evaluation
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Effective Dose Estimation in Computed Tomography by Machine Learning.

Tomography (Ann Arbor, Mich.) Jan 2, 2025
BACKGROUND: Computed tomography scans are widely used in everyday medical practice due to speed, image reliability, and detectability of a wide range of pathologies. Each scan exposes the patient to a radiation dose, and performing a fast estimation ...
Radiation Dosage Humans Machine Learning Neural Networks, Computer Female Software Reproducibility of Results Algorithms Male Tomography, X-Ray Computed
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Deep-learning prediction of cardiovascular outcomes from routine retinal images in individuals with type 2 diabetes.

Cardiovascular diabetology Jan 2, 2025
BACKGROUND: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learnin...
Diabetic Retinopathy Predictive Value of Tests Decision Support Techniques Heart Disease Risk Factors Reproducibility of Results Humans Prognosis Image Interpretation, Computer-Assisted Male Risk Factors Female Photography Cardiovascular Diseases Retinal Vessels Aged Deep Learning Middle Aged Time Factors Risk Assessment Diabetes Mellitus, Type 2
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Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement.

Scientific reports Jan 2, 2025
Diabetes prediction is an important topic in the field of medical health. Accurate prediction can help early intervention and reduce patients' health risks and medical costs. This paper proposes a data preprocessing method, including removing outlier...
Female Reproducibility of Results Male Humans Diabetes Mellitus, Type 2 Neural Networks, Computer Algorithms
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