AIMC Topic: Sensitivity and Specificity

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Evaluation of deep learning for detecting intraosseous jaw lesions in cone beam computed tomography volumes.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 16, 2023
OBJECTIVE: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone beam computed tomography (CBCT) volumes.
Humans Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Jaw Neoplasms Sensitivity and Specificity Jaw Diseases Software Algorithms Deep Learning Cone-Beam Computed Tomography
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A deep learning framework for intracranial aneurysms automatic segmentation and detection on magnetic resonance T1 images.

European radiology Oct 16, 2023
OBJECTIVES: To design a deep learning-based framework for automatic segmentation and detection of intracranial aneurysms (IAs) on magnetic resonance T1 images and test the robustness and performance of framework.
Humans Algorithms Adult Sensitivity and Specificity Male Retrospective Studies Female Aged Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Intracranial Aneurysm Middle Aged Deep Learning
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Localization and phenotyping of tuberculosis bacteria using a combination of deep learning and SVMs.

Computers in biology and medicine Oct 13, 2023
Successful treatment of pulmonary tuberculosis (TB) depends on early diagnosis and careful monitoring of treatment response. Identification of acid-fast bacilli by fluorescence microscopy of sputum smears is a common tool for both tasks. Microscopy-b...
Mycobacterium tuberculosis Microscopy, Fluorescence Tuberculosis Humans Sensitivity and Specificity Deep Learning Lipids
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Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study.

European radiology Oct 11, 2023
OBJECTIVES: This study aimed to propose a deep learning (DL)-based framework for identifying the composition of thyroid nodules and assessing their malignancy risk.
Diagnosis, Differential Thyroid Neoplasms Ultrasonography Thyroid Nodule Sensitivity and Specificity Humans Deep Learning Retrospective Studies
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Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma.

Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG Oct 9, 2023
BACKGROUND: Institutes of dermatopathology are faced with considerable challenges including a continuously rising numbers of submitted specimens and a shortage of specialized health care practitioners. Basal cell carcinoma (BCC) is one of the most co...
Deep Learning Humans Artificial Intelligence Carcinoma, Basal Cell Skin Neoplasms Carcinoma, Squamous Cell Sensitivity and Specificity
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Artificial intelligence to analyze magnetic resonance imaging in rheumatology.

Joint bone spine Oct 4, 2023
Rheumatic disorders present a global health challenge, marked by inflammation and damage to joints, bones, and connective tissues. Accurate, timely diagnosis and appropriate management are crucial for favorable patient outcomes. Magnetic resonance im...
Artificial Intelligence Machine Learning Female Magnetic Resonance Imaging Sensitivity and Specificity Humans Rheumatic Diseases Male Rheumatology Deep Learning
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Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

Prenatal diagnosis Sep 30, 2023
BACKGROUND: Artificial intelligence (AI) has the potential to improve prenatal detection of congenital heart disease. We analysed the performance of the current national screening programme in detecting hypoplastic left heart syndrome (HLHS) to compa...
Ultrasonography, Prenatal Hypoplastic Left Heart Syndrome Pregnancy Female Humans Sensitivity and Specificity Artificial Intelligence
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A look at radiation detectors and their applications in medical imaging.

Japanese journal of radiology Sep 21, 2023
The effectiveness and precision of disease diagnosis and treatment have increased, thanks to developments in clinical imaging over the past few decades. Science is developing and progressing steadily in imaging modalities, and effective outcomes are ...
Tomography, Emission-Computed, Single-Photon Sensitivity and Specificity Positron-Emission Tomography Humans Artificial Intelligence Tomography, X-Ray Computed
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Preliminary exploration of deep learning-assisted recognition of superior labrum anterior and posterior lesions in shoulder MR arthrography.

International orthopaedics Sep 20, 2023
PURPOSE: MR arthrography (MRA) is the most accurate method for preoperatively diagnosing superior labrum anterior-posterior (SLAP) lesions, but diagnostic results can vary considerably due to factors such as experience. In this study, deep learning w...
Humans Shoulder Injuries Retrospective Studies Shoulder Joint Arthrography Magnetic Resonance Imaging Reproducibility of Results Sensitivity and Specificity Arthroscopy Deep Learning Shoulder
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Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks.

Medical & biological engineering & computing Sep 15, 2023
Breast ultrasound (BUS) image classification in benign and malignant classes is often based on pre-trained convolutional neural networks (CNNs) to cope with small-sized training data. Nevertheless, BUS images are single-channel gray-level images, whe...
Female Sensitivity and Specificity Ultrasonography Ultrasonography, Mammary Humans Breast Neural Networks, Computer
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