AIMC Topic: Reproducibility of Results

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From Revisions to Insights: Converting Radiology Report Revisions into Actionable Educational Feedback Using Generative AI Models.

Journal of imaging informatics in medicine Aug 19, 2024
Expert feedback on trainees' preliminary reports is crucial for radiologic training, but real-time feedback can be challenging due to non-contemporaneous, remote reading and increasing imaging volumes. Trainee report revisions contain valuable educat...
Humans Formative Feedback Reproducibility of Results Radiology
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Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices.

Journal of clinical monitoring and computing Aug 19, 2024
PURPOSE: Intraoperative hypotension is associated with adverse outcomes. Predicting and proactively managing hypotension can reduce its incidence. Previously, hypotension prediction algorithms using artificial intelligence were developed for invasive...
Electrocardiography Blood Pressure Determination Blood Pressure Area Under Curve Hypotension Intraoperative Complications Consciousness Monitors Blood Pressure Monitors Deep Learning Monitoring, Intraoperative ROC Curve Photoplethysmography Capnography Aged Adult Male Middle Aged Algorithms Databases, Factual Female Reproducibility of Results Humans Artificial Intelligence
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[Prioritized appointment allocation in new patients, what is really decisive? : Comparative analysis of manual appointment allocation with automated and AI-assisted approaches].

Zeitschrift fur Rheumatologie Aug 16, 2024
BACKGROUND: The timely allocation of appointments for new patients is a daily challenge in rheumatological practice, which can be supported by digital solutions. The question is to find the simplest and most effective possible method for prioritizati...
Health Priorities Appointments and Schedules Germany Rheumatic Diseases Health Care Rationing Sensitivity and Specificity Artificial Intelligence Humans Male Female Middle Aged Reproducibility of Results Waiting Lists Adult
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Validity of machine learning algorithms for automatically extract growing rod length on radiographs in children with early-onset scoliosis.

Medical & biological engineering & computing Aug 16, 2024
The magnetically controlled growing rod technique is an effective surgical treatment for children who have early-onset scoliosis. The length of the instrumented growing rods is adjusted regularly to compensate for the normal growth of these patients....
Humans Machine Learning Algorithms Child Radiography Scoliosis Female Reproducibility of Results Male Child, Preschool
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Don't Let Your Analysis Go to Seed: On the Impact of Random Seed on Machine Learning-based Causal Inference.

Epidemiology (Cambridge, Mass.) Aug 16, 2024
Machine learning techniques for causal effect estimation can enhance the reliability of epidemiologic analyses, reducing their dependence on correct model specifications. However, the stochastic nature of many machine learning algorithms implies that...
Humans Causality Models, Statistical Machine Learning Epidemiologic Methods Algorithms Computer Simulation Reproducibility of Results
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Development of a deep learning model for detecting lumbar vertebral fractures on CT images: An external validation.

European journal of radiology Aug 15, 2024
OBJECTIVE: To develop and externally validate a binary classification model for lumbar vertebral body fractures based on CT images using deep learning methods.
Male Humans Tomography, X-Ray Computed Middle Aged Female Deep Learning Lumbar Vertebrae Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Spinal Fractures Aged Aged, 80 and over Adult
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Heart Failure Aortic Valve Stenosis Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Aged, 80 and over Male Echocardiography Middle Aged Severity of Illness Index Humans Risk Assessment Female Time Factors Phenotype Comorbidity Cluster Analysis Prognosis Reproducibility of Results Risk Factors Aged
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An Automated Machine Learning-Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, variable MR severity reporting, an automated tool that could screen patients for clinically significant MR (≥ moderate) would streamline the diagnosti...
Automation Feasibility Studies Mitral Valve Mitral Valve Insufficiency Image Interpretation, Computer-Assisted Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Workflow Humans Machine Learning Prognosis
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Can Patients With Urogenital Cancer Rely on Artificial Intelligence Chatbots for Treatment Decisions?

Clinical genitourinary cancer Aug 14, 2024
OBJECTIVES: In the era of artificial intelligence, almost half of the patients use the internet to get information about their diseases. Our study aims to demonstrate the reliability of the information provided by artificial intelligence chatbots (AI...
Male Urogenital Neoplasms Humans Patient Education as Topic Artificial Intelligence Internet Female Comprehension Reproducibility of Results
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Computer-Aided Classification of Breast Lesions Based on US RF Time Series Using a Novel Machine Learning Approach.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Aug 14, 2024
OBJECTIVES: One of the most promising adjuncts for screening breast cancer is ultrasound (US) radio-frequency (RF) time series. It has the superiority of not requiring any supplementary equipment over other methods. This research aimed to propound a ...
Humans Middle Aged Machine Learning Ultrasonography, Mammary Reproducibility of Results Female Breast Aged Image Interpretation, Computer-Assisted Adult Radio Waves Breast Neoplasms
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