AIMC Topic: Reproducibility of Results

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Evaluating AI-based breastfeeding chatbots: quality, readability, and reliability analysis.

PloS one Mar 17, 2025
BACKGROUND: In recent years, expectant and breastfeeding mothers commonly use various breastfeeding-related social media applications and websites to seek breastfeeding-related information. At the same time, AI-based chatbots-such as ChatGPT, Gemini,...
Comprehension Reproducibility of Results Social Media Breast Feeding Humans Mothers Artificial Intelligence Female
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Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis.

European journal of radiology Mar 14, 2025
PURPOSE: For patients suffering from differentiated thyroid cancer (DTC), several clinical, laboratory, and pathological features (including patient age, tumor size, extrathyroidal extension, or serum thyroglobulin levels) are currently used to ident...
Humans Machine Learning Biomarkers, Tumor Prognosis Male Aged Retrospective Studies Middle Aged Thyroid Neoplasms Adult Female Risk Assessment Neoplasm Recurrence, Local Sensitivity and Specificity Reproducibility of Results Germany Risk Factors Boosting Machine Learning Algorithms
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A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning.

Journal of biomedical informatics Mar 14, 2025
OBJECTIVE: Persona validation is a challenging task, often relying on costly external validation methods. The aim of this study was the development of a novel method for Personas validation based on data already available during their creation.
Humans Machine Learning Surveys and Questionnaires Algorithms Female Delivery of Health Care Cluster Analysis Reproducibility of Results Supervised Machine Learning Male
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Technical and regulatory challenges in artificial intelligence-based pulse oximetry: a proposed development pipeline.

British journal of anaesthesia Mar 14, 2025
Pulse oximetry, although generally effective under ideal conditions, faces challenges in accurately estimating peripheral oxygen saturation (SpO) in complex clinical scenarios, particularly at lower saturation levels and in patients with darker skin ...
Artificial Intelligence Algorithms Reproducibility of Results Oxygen Saturation Oximetry Humans
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Risk of bias assessment of post-stroke mortality machine learning predictive models: Systematic review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 13, 2025
BACKGROUND: Stroke is a major cause of mortality and permanent disability worldwide. Precise prediction of post-stroke mortality is essential for guiding treatment decisions and rehabilitation planning. The ability of Machine learning models to proce...
Time Factors Predictive Value of Tests Stroke Aged Prognosis Male Female Middle Aged Humans Reproducibility of Results Risk Assessment Machine Learning Risk Factors Decision Support Techniques
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Adult Male Stroke Volume Echocardiography Retrospective Studies Female Ventricular Dysfunction, Right Reproducibility of Results Severity of Illness Index Humans Young Adult Image Interpretation, Computer-Assisted Adolescent Machine Learning Chronic Disease Ventricular Function, Right Prognosis Predictive Value of Tests Pulmonary Valve Insufficiency
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A multi model deep net with an explainable AI based framework for diabetic retinopathy segmentation and classification.

Scientific reports Mar 13, 2025
Diabetic Retinopathy (DR) is a serious condition affecting diabetes people caused by hemorrhage in the light-sensitive retinal area. DR sufferers should receive urgent therapy to avoid vision loss. The intelligent medical diagnosis system for DR is e...
Reproducibility of Results Deep Learning Humans Diabetic Retinopathy Neural Networks, Computer Artificial Intelligence Algorithms
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Using Generative AI to Extract Structured Information from Free Text Pathology Reports.

Journal of medical systems Mar 13, 2025
Manually converting unstructured text pathology reports into structured pathology reports is very time-consuming and prone to errors. This study demonstrates the transformative potential of generative AI in automating the analysis of free-text pathol...
Humans Natural Language Processing Data Mining Artificial Intelligence Female Reproducibility of Results Breast Neoplasms
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Contrast-Induced Acute Kidney Injury in Lower Limb Percutaneous Transluminal Angioplasty: A Machine Learning Approach for Preoperative Risk Prediction.

Annals of vascular surgery Mar 11, 2025
BACKGROUND: Contrast-induced acute kidney injury (CI-AKI) is a common complication of lower limb percutaneous transluminal angioplasty (PTA). Common risk models are based on cardiology cohorts for percutaneous coronary intervention. They include a mi...
Peripheral Arterial Disease Predictive Value of Tests Angioplasty Glomerular Filtration Rate Contrast Media Lower Extremity Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Treatment Outcome Machine Learning Decision Support Techniques Retrospective Studies Acute Kidney Injury Humans
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Non-invasive derivation of instantaneous free-wave ratio from invasive coronary angiography using a new deep learning artificial intelligence model and comparison with human operators' performance.

The international journal of cardiovascular imaging Mar 10, 2025
Invasive coronary physiology is underused and carries risks/costs. Artificial Intelligence (AI) might enable non-invasive physiology from invasive coronary angiography (CAG), possibly outperforming humans, but has seldom been explored, especially for...
Humans Retrospective Studies Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Male Middle Aged Deep Learning Clinical Competence Female Reproducibility of Results Aged
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