AIMC Topic: Reproducibility of Results

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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Ablation Techniques Pneumothorax Hemoptysis Microwaves Recurrence Large Language Models Hemothorax Middle Aged Time Factors Lung Neoplasms Treatment Outcome Predictive Value of Tests Natural Language Processing Feasibility Studies Neoplasm Recurrence, Local Electronic Health Records Data Mining Female Reproducibility of Results Humans Aged Retrospective Studies Male
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Evaluation of the clinical utility of lateral cephalometry reconstructed from computed tomography extracted by artificial intelligence.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Dec 9, 2024
This study assessed the accuracy and reliability of artificial intelligence (AI)-reconstructed images of two-dimensional (2D) lateral cephalometric analyses of facial computed tomography (CT) images, which is widely used for the diagnosis of craniofa...
Image Processing, Computer-Assisted Anatomic Landmarks Cephalometry Observer Variation Algorithms Tomography, X-Ray Computed Female Reproducibility of Results Young Adult Adult Male Middle Aged Adolescent Humans Artificial Intelligence
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Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 9, 2024
BACKGROUND AND PURPOSE: To date, only a few small studies have attempted deep learning-based automatic segmentation of white matter hyperintensity (WMH) lesions in patients with cerebral infarction; this issue is complicated because stroke-related le...
Humans Algorithms Republic of Korea Deep Learning Magnetic Resonance Imaging Ischemic Stroke Image Interpretation, Computer-Assisted White Matter Female Reproducibility of Results Aged Male Middle Aged
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Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI study).

PloS one Dec 9, 2024
INTRODUCTION: Surgical patients frequently experience post-operative complications at home. Digital remote monitoring of surgical wounds via image-based systems has emerged as a promising solution for early detection and intervention. However, the in...
Reproducibility of Results Male Humans Artificial Intelligence Smartphone Software Surgical Wound Algorithms Prospective Studies Female
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ChatGPT-4o's performance on pediatric Vesicoureteral reflux.

Journal of pediatric urology Dec 7, 2024
INTRODUCTION: Vesicoureteral reflux (VUR) is a common congenital or acquired urinary disorder in children. Chat Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence-driven platform offering medical information. This research aim...
Humans Artificial Intelligence Vesico-Ureteral Reflux Female Surveys and Questionnaires Reproducibility of Results Male Child Generative Artificial Intelligence Comprehension
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Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Dec 6, 2024
BACKGROUND: Previous studies explored MRI-based radiomic features for differentiating between human epidermal growth factor receptor 2 (HER2)-zero, HER2-low, and HER2-positive breast cancer, but deep learning's effectiveness is uncertain.
Humans Retrospective Studies Female Reproducibility of Results Aged Deep Learning ROC Curve Contrast Media Magnetic Resonance Imaging Breast Adult Sensitivity and Specificity Breast Neoplasms Middle Aged Image Interpretation, Computer-Assisted Receptor, ErbB-2
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Machine learning classification meets migraine: recommendations for study evaluation.

The journal of headache and pain Dec 5, 2024
The integration of machine learning (ML) classification techniques into migraine research has offered new insights into the pathophysiology and classification of migraine types and subtypes. However, inconsistencies in study design, lack of methodolo...
Reproducibility of Results Migraine Disorders Humans Machine Learning
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Leveraging a Vision Transformer Model to Improve Diagnostic Accuracy of Cardiac Amyloidosis With Cardiac Magnetic Resonance.

JACC. Cardiovascular imaging Dec 4, 2024
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is an important diagnostic tool for diagnosis of cardiac amyloidosis (CA). However, discrimination of CA from other etiologies of myocardial disease can be challenging.
Cardiomyopathies Magnetic Resonance Imaging, Cine Middle Aged Retrospective Studies Predictive Value of Tests Deep Learning Humans Female Myocardium Contrast Media Decision Support Techniques Reproducibility of Results Image Interpretation, Computer-Assisted Diagnosis, Differential Aged Cardiomyopathy, Hypertrophic Male Amyloidosis
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Evaluation of Responses to Questions About Keratoconus Using ChatGPT-4.0, Google Gemini and Microsoft Copilot: A Comparative Study of Large Language Models on Keratoconus.

Eye & contact lens Dec 4, 2024
OBJECTIVES: Large language models (LLMs) are increasingly being used today and are becoming increasingly important for providing accurate clinical information to patients and physicians. This study aimed to evaluate the effectiveness of generative pr...
Keratoconus Reproducibility of Results Humans Internet Adult Software Large Language Models Male Language Surveys and Questionnaires Female Generative Artificial Intelligence
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Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Journal of psychiatric research Dec 4, 2024
Previous models of depression outcomes have been limited by symptom heterogeneity within populations. This study conducted a retrospective analysis using latent growth mixture models to identify heterogeneous trajectories within a clinical population...
Adolescent Stress Disorders, Post-Traumatic ROC Curve United States Treatment Outcome Mental Health Services Outpatients Humans Area Under Curve Adult Patient Health Questionnaire Machine Learning Outcome Assessment, Health Care Male Reproducibility of Results Retrospective Studies Veterans Middle Aged Aged Female Depression Aged, 80 and over Latent Class Analysis Young Adult
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