AIMC Topic: Reproducibility of Results

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Artificial intelligence-assisted fitting method using corneal topography outcomes enhances success rate in orthokeratology lens fitting.

Contact lens & anterior eye : the journal of the British Contact Lens Association Dec 16, 2024
PURPOSE: Based on ideal outcomes of corneal topography following orthokeratology (OK), an innovative machine learning algorithm for corneal refractive therapy (CRT) was developed to investigate the precision of artificial intelligence (AI)-assisted O...
Reproducibility of Results Young Adult Adult Male Middle Aged Artificial Intelligence Algorithms Retrospective Studies Female Visual Acuity Corneal Topography Contact Lenses Prosthesis Fitting Orthokeratologic Procedures Refraction, Ocular Myopia Adolescent Child Treatment Outcome Humans
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Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT.

Artificial intelligence in medicine Dec 16, 2024
In this paper, we introduce a novel concordance-based predictive uncertainty (CPU)-Index, which integrates insights from subgroup analysis and personalized AI time-to-event models. Through its application in refining lung cancer screening (LCS) predi...
Lung Neoplasms Uncertainty Reproducibility of Results Humans Artificial Intelligence Aged Tomography, X-Ray Computed Early Detection of Cancer Male Female Middle Aged Radiation Dosage Risk Assessment Proof of Concept Study
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Humans Coronary Artery Disease Male Workflow Predictive Value of Tests Artificial Intelligence Middle Aged Observer Variation Coronary Angiography Retrospective Studies Severity of Illness Index Radiologists Coronary Vessels Female Radiographic Image Interpretation, Computer-Assisted Time Factors Multidetector Computed Tomography Reproducibility of Results Electrocardiography Aged
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Blood Pressure Estimation Using Explainable Deep-Learning Models Based on Photoplethysmography.

Anesthesia and analgesia Dec 16, 2024
BACKGROUND: Due to their invasiveness, arterial lines are not typically used in routine monitoring, despite their superior responsiveness in hemodynamic monitoring and detecting intraoperative hypotension. To address this issue, noninvasive, continuo...
Photoplethysmography Male Humans Middle Aged Female Blood Pressure Determination Deep Learning Reproducibility of Results Predictive Value of Tests Monitoring, Intraoperative Aged Arterial Pressure
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A quality assessment tool for focused abdominal sonography for trauma examinations using artificial intelligence.

The journal of trauma and acute care surgery Dec 14, 2024
BACKGROUND: Current tools to review focused abdominal sonography for trauma (FAST) images for quality have poorly defined grading criteria or are developed to grade the skills of the sonographer and not the examination. The purpose of this study is t...
Humans Artificial Intelligence Reproducibility of Results Clinical Competence Ultrasonography Quality Assurance, Health Care Abdominal Injuries Focused Assessment with Sonography for Trauma
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Conditional generative diffusion deep learning for accelerated diffusion tensor and kurtosis imaging.

Magnetic resonance imaging Dec 13, 2024
PURPOSE: The purpose of this study was to develop DiffDL, a generative diffusion probabilistic model designed to produce high-quality diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) metrics from a reduced set of diffusion-weighted...
Humans Algorithms Brain Female Reproducibility of Results Adult Signal-To-Noise Ratio Male Connectome Deep Learning Diffusion Tensor Imaging Image Processing, Computer-Assisted Anisotropy Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

Journal of vascular surgery Dec 13, 2024
OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAAs) at increased risk of rupture incorporating demographic, clinical, imaging, and medication data using artificial intelligence (AI).
Humans Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Artificial Intelligence Decision Support Techniques Prognosis Retrospective Studies Female Aortic Rupture Denmark Predictive Value of Tests Middle Aged Aortic Aneurysm, Abdominal Risk Assessment Computed Tomography Angiography Case-Control Studies Aortography Decision Trees
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Smartphone pupillometry with machine learning differentiates ischemic from hemorrhagic stroke: A pilot study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Dec 12, 2024
OBJECTIVES: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage challenging. We studied a smartphone-based quantitative pupillometer for differentiation of acute ischemic and hemorrhagic stroke.
Pupil Smartphone Diagnostic Techniques, Ophthalmological Humans Diagnosis, Differential Hemorrhagic Stroke Predictive Value of Tests Machine Learning Aged, 80 and over Reflex, Pupillary Ischemic Stroke Female Male Reproducibility of Results Middle Aged Aged Case-Control Studies Pilot Projects
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Performance and Reproducibility of Large Language Models in Named Entity Recognition: Considerations for the Use in Controlled Environments.

Drug safety Dec 11, 2024
INTRODUCTION: Recent artificial intelligence (AI) advances can generate human-like responses to a wide range of queries, making them a useful tool for healthcare applications. Therefore, the potential use of large language models (LLMs) in controlled...
Artificial Intelligence Language Reproducibility of Results Natural Language Processing Large Language Models Humans
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Evaluating the efficacy of AI systems in diabetic retinopathy detection: A comparative analysis of Mona DR and IDx-DR.

Acta ophthalmologica Dec 10, 2024
PURPOSE: To compare two artificial intelligence (AI)-based Automated Diabetic Retinopathy Image Assessment (ARIA) softwares in terms of concordance with specialist human graders and referable diabetic retinopathy (DR) diagnostic capacity.
Sensitivity and Specificity Male Middle Aged Photography Female Reproducibility of Results Aged Adult Humans Diabetic Retinopathy Artificial Intelligence Retrospective Studies
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