AIMC Topic: Humans

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Performance of three artificial intelligence chatbots on Ophthalmic Knowledge Assessment Program materials.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Feb 23, 2024
Clinical Competence Humans Educational Measurement Artificial Intelligence Ophthalmology
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Development and Preliminary Validation of a Novel Convolutional Neural Network Model for Predicting Treatment Response in Patients with Unresectable Hepatocellular Carcinoma Receiving Hepatic Arterial Infusion Chemotherapy.

Journal of imaging informatics in medicine Feb 23, 2024
The goal of this study was to evaluate the performance of a convolutional neural network (CNN) with preoperative MRI and clinical factors in predicting the treatment response of unresectable hepatocellular carcinoma (HCC) patients receiving hepatic a...
Hepatic Artery Infusions, Intra-Arterial Carcinoma, Hepatocellular Treatment Outcome Magnetic Resonance Imaging ROC Curve Liver Neoplasms Female Aged Adult Humans Male Neural Networks, Computer Middle Aged Retrospective Studies Antineoplastic Agents
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An Automatic Grading System for Orthodontically Induced External Root Resorption Based on Deep Convolutional Neural Network.

Journal of imaging informatics in medicine Feb 23, 2024
Orthodontically induced external root resorption (OIERR) is a common complication of orthodontic treatments. Accurate OIERR grading is crucial for clinical intervention. This study aimed to evaluate six deep convolutional neural networks (CNNs) for p...
Orthodontics Root Resorption Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Integrated machine learning and deep learning for predicting diabetic nephropathy model construction, validation, and interpretability.

Endocrine Feb 23, 2024
OBJECTIVE: To construct a risk prediction model for assisted diagnosis of Diabetic Nephropathy (DN) using machine learning algorithms, and to validate it internally and externally.
Male Middle Aged Deep Learning ROC Curve Diabetic Nephropathies Female Reproducibility of Results Aged Humans Machine Learning
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ECG-only explainable deep learning algorithm predicts the risk for malignant ventricular arrhythmia in phospholamban cardiomyopathy.

Heart rhythm Feb 23, 2024
BACKGROUND: Phospholamban (PLN) p.(Arg14del) variant carriers are at risk for development of malignant ventricular arrhythmia (MVA). Accurate risk stratification allows timely implantation of intracardiac defibrillators and is currently performed wit...
Electrocardiography Tachycardia, Ventricular Cardiomyopathies Middle Aged Humans Risk Assessment Algorithms Deep Learning Female Retrospective Studies Adult Calcium-Binding Proteins Male
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Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment.

European radiology Feb 23, 2024
Brain Humans Prognosis Artificial Intelligence Cerebral Hemorrhage
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Translating the regulatory landscape of medical devices to create fit-for-purpose artificial intelligence (AI) cytometry solutions.

Cytometry. Part B, Clinical cytometry Feb 23, 2024
The implementation of medical software and artificial intelligence (AI) algorithms into routine clinical cytometry diagnostic practice requires a thorough understanding of regulatory requirements and challenges throughout the cytometry software produ...
Equipment and Supplies European Union Software United States Flow Cytometry Humans Artificial Intelligence
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Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.

Oral radiology Feb 23, 2024
OBJECTIVES: We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodontitis.
Neural Networks, Computer Algorithms Female Humans Deep Learning Periodontitis Bayes Theorem Adult Male Middle Aged Radiography, Dental
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Identifying definite patterns of unmet needs in patients with multiple sclerosis using unsupervised machine learning.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Feb 23, 2024
INTRODUCTION: People with multiple sclerosis (PwMS) exhibit a spectrum of needs that extend beyond solely disease-related determinants. Investigating unmet needs from the patient perspective may address daily difficulties and optimize care. Our aim w...
Male Middle Aged Surveys and Questionnaires Female Adult Humans Cross-Sectional Studies Multiple Sclerosis Health Services Accessibility Health Services Needs and Demand Cluster Analysis Needs Assessment Unsupervised Machine Learning
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Machine Learning Deciphered Molecular Mechanistics with Accurate Kinetic and Thermodynamic Prediction.

Journal of chemical theory and computation Feb 23, 2024
Time-lagged independent component analysis (tICA) and the Markov state model (MSM) have been extensively employed for extracting conformational dynamics and kinetic community networks from unbiased trajectory ensembles. However, these techniques may ...
Humans Machine Learning Kinetics Molecular Dynamics Simulation Markov Chains Thermodynamics Myeloid Cell Leukemia Sequence 1 Protein
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