Diagnosis, Differential

Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.

Virchows Archiv : an international journal of pathology Feb 8, 2024

Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristics, and differential diagnosis can be a dilemma for pathologists. This study aimed to apply deep learning (DL) to analyze whole slide images (WSI) of ...

Humans Female Reproducibility of Results Predictive Value of Tests Crohn Disease Image Interpretation, Computer-Assisted Tuberculosis, Gastrointestinal Young Adult Adult Male Middle Aged Deep Learning Intestines Diagnosis, Differential

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Comparing the Quality of Domain-Specific Versus General Language Models for Artificial Intelligence-Generated Differential Diagnoses in PICU Patients.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 8, 2024

OBJECTIVES: Generative language models (LMs) are being evaluated in a variety of tasks in healthcare, but pediatric critical care studies are scant. Our objective was to evaluate the utility of generative LMs in the pediatric critical care setting an...

Adolescent Child, Preschool Child Intensive Care Units, Pediatric Female Male Infant Diagnosis, Differential Critical Care Humans Artificial Intelligence Retrospective Studies

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Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Feb 8, 2024

Rhabdomyosarcoma Humans Deep Learning Diagnosis, Differential

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Deep learning-aided decision support for diagnosis of skin disease across skin tones.

Nature medicine Feb 5, 2024

Although advances in deep learning systems for image-based medical diagnosis demonstrate their potential to augment clinical decision-making, the effectiveness of physician-machine partnerships remains an open question, in part because physicians and...

Deep Learning Diagnosis, Differential Skin Diseases Skin Pigmentation Humans Algorithms

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Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection.

The Journal of investigative dermatology Jan 29, 2024

Melanoma is still a major health problem worldwide. Early diagnosis is the first step toward reducing its mortality, but it remains a challenge even for experienced dermatologists. Although computer-aided systems have been developed to help diagnosis...

Dermoscopy Sensitivity and Specificity Diagnosis, Computer-Assisted Early Detection of Cancer Algorithms Melanoma Skin Neoplasms Diagnosis, Differential Humans Nevus Neural Networks, Computer Nevus, Pigmented

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A machine learning approach to differentiate wide QRS tachycardia: distinguishing ventricular tachycardia from supraventricular tachycardia.

Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing Jan 22, 2024

BACKGROUND: Differential diagnosis of wide QRS tachycardia (WQCT) has been a challenging issue. Published algorithms to distinguish ventricular tachycardia (VT) and supraventricular tachycardia (SVT) have limited diagnostic capabilities.

Tachycardia, Supraventricular Middle Aged Electrocardiography Diagnosis, Differential Tachycardia, Ventricular Humans Aged Machine Learning Adult Algorithms Male Female

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Multiparametric MRI-Based Machine Learning Models for the Characterization of Cystic Renal Masses Compared to the Bosniak Classification, Version 2019: A Multicenter Study.

Academic radiology Jan 19, 2024

RATIONALE AND OBJECTIVE: Accurate differentiation between benign and malignant cystic renal masses (CRMs) is challenging in clinical practice. This study aimed to develop MRI-based machine learning models for differentiating between benign and malign...

Humans Machine Learning Retrospective Studies Female Aged Adult Kidney Neoplasms Multiparametric Magnetic Resonance Imaging Male Kidney Diseases, Cystic Middle Aged Diagnosis, Differential

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MI-DenseCFNet: deep learning-based multimodal diagnosis models for Aureus and Aspergillus pneumonia.

European radiology Jan 17, 2024

OBJECTIVE: To build and merge a diagnostic model called multi-input DenseNet fused with clinical features (MI-DenseCFNet) for discriminating between Staphylococcus aureus pneumonia (SAP) and Aspergillus pneumonia (ASP) and to evaluate the significant...

Pulmonary Aspergillosis Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Pneumonia, Staphylococcal Tomography, X-Ray Computed Humans Female Aged Male Adult Middle Aged Deep Learning Staphylococcus aureus

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A Convolutional Neural Network Model for Distinguishing Hemangioblastomas From Other Cerebellar-and-Brainstem Tumors Using Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Jan 11, 2024

BACKGROUND: Hemangioblastoma (HB) is a highly vascularized tumor most commonly occurring in the posterior cranial fossa, requiring accurate preoperative diagnosis to avoid accidental intraoperative hemorrhage and even death.

Magnetic Resonance Imaging Diagnosis, Differential Brain Stem Neoplasms Cerebellar Neoplasms Child, Preschool Child Contrast Media Hemangioblastoma Female Aged Young Adult Adult Male Middle Aged Adolescent Humans Neural Networks, Computer Retrospective Studies

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Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning.

Journal of cancer research and therapeutics Dec 28, 2023

PURPOSE: To evaluate the capability of deep transfer learning (DTL) and fine-tuning methods in differentiating malignant from benign lesions in breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI).

Contrast Media Sensitivity and Specificity Breast Magnetic Resonance Imaging Humans Breast Neoplasms Diffusion Magnetic Resonance Imaging Diagnosis, Differential Retrospective Studies Deep Learning Female ROC Curve

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.

Comparing the Quality of Domain-Specific Versus General Language Models for Artificial Intelligence-Generated Differential Diagnoses in PICU Patients.

Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.

Deep learning-aided decision support for diagnosis of skin disease across skin tones.

Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection.

A machine learning approach to differentiate wide QRS tachycardia: distinguishing ventricular tachycardia from supraventricular tachycardia.

Multiparametric MRI-Based Machine Learning Models for the Characterization of Cystic Renal Masses Compared to the Bosniak Classification, Version 2019: A Multicenter Study.

MI-DenseCFNet: deep learning-based multimodal diagnosis models for Aureus and Aspergillus pneumonia.

A Convolutional Neural Network Model for Distinguishing Hemangioblastomas From Other Cerebellar-and-Brainstem Tumors Using Contrast-Enhanced MRI.

Discrimination of benign and malignant breast lesions on dynamic contrast-enhanced magnetic resonance imaging using deep learning.

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