AIMC Topic: Sensitivity and Specificity

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The Current State of Artificial Intelligence in Neuro-Ophthalmology. A Review.

Ceska a slovenska oftalmologie : casopis Ceske oftalmologicke spolecnosti a Slovenske oftalmologicke spolecnosti Jan 1, 2024
This article presents a summary of recent advances in the development and use of complex systems using artificial intelligence (AI) in neuro-ophthalmology. The aim of the following article is to present the principles of AI and algorithms that are cu...
Algorithms Sensitivity and Specificity Ophthalmology Humans Artificial Intelligence
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A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.
Image Interpretation, Computer-Assisted Thyroid Gland Thyroid Neoplasms Ultrasonography Algorithms Humans Sensitivity and Specificity Neural Networks, Computer Artificial Intelligence
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Diabetic Retinopathy Diagnosis based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study.

Current diabetes reviews Jan 1, 2024
BACKGROUND: Diabetic retinopathy is the most common complication of diabetes mellitus and is one of the leading causes of vision impairment globally, which is also relevant for the Russian Federation.
Adult Sensitivity and Specificity Cross-Sectional Studies Female Aged Male Middle Aged Russia Humans Diabetic Retinopathy Neural Networks, Computer Prospective Studies
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Lung cancer detection based on computed tomography image using convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Lung cancer is the most common type of cancer, accounting for 12.8% of cancer cases worldwide. As initially non-specific symptoms occur, it is difficult to diagnose in the early stages.
Humans Neural Networks, Computer Retrospective Studies Middle Aged Case-Control Studies Aged Tomography, X-Ray Computed Deep Learning Sensitivity and Specificity Female Lung Neoplasms Male
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Deep-learning model for prenatal congenital heart disease screening generalizes to community setting and outperforms clinical detection.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jan 1, 2024
OBJECTIVES: Despite nearly universal prenatal ultrasound screening programs, congenital heart defects (CHD) are still missed, which may result in severe morbidity or even death. Deep machine learning (DL) can automate image recognition from ultrasoun...
Sensitivity and Specificity Ultrasonography, Prenatal Deep Learning Female Infant, Newborn Humans Heart Defects, Congenital Pregnancy Prenatal Diagnosis
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Application of neural networks for the detection of oral cancer: A systematic review.

Dental and medical problems Jan 1, 2024
One potential application of neural networks (NNs) is the early-stage detection of oral cancer. This systematic review aimed to determine the level of evidence on the sensitivity and specificity of NNs for the detection of oral cancer, following the ...
Neural Networks, Computer Humans Sensitivity and Specificity Mouth Neoplasms
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ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence.

Medical ultrasonography Dec 27, 2023
AIMS: To develop a deep learning model, with the aid of ChatGPT, for thyroid nodules, utilizing ultrasound images. The cytopathology of the fine needle aspiration biopsy (FNAB) serves as the baseline.
Thyroid Nodule Intelligence Deep Learning Thyroid Neoplasms Humans Retrospective Studies Ultrasonography Artificial Intelligence Sensitivity and Specificity
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[Application and evaluation of artificial intelligence TPS-assisted cytologic screening system in urine exfoliative cytology].

Zhonghua bing li xue za zhi = Chinese journal of pathology Dec 8, 2023
To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. A total of 3 033 urine exfoliated cytology samples were co...
Humans Artificial Intelligence Sensitivity and Specificity Urologic Neoplasms Epithelial Cells Urothelium Cytodiagnosis
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Deep Learning Performance of Ultra-Widefield Fundus Imaging for Screening Retinal Lesions in Rural Locales.

JAMA ophthalmology Nov 1, 2023
IMPORTANCE: Retinal diseases are the leading cause of irreversible blindness worldwide, and timely detection contributes to prevention of permanent vision loss, especially for patients in rural areas with limited medical resources. Deep learning syst...
Female Aged Sensitivity and Specificity Humans Retinal Diseases Deep Learning Fundus Oculi Retina
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Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion.

Radiology Sep 1, 2023
Background Commercially available artificial intelligence (AI) tools can assist radiologists in interpreting chest radiographs, but their real-life diagnostic accuracy remains unclear. Purpose To evaluate the diagnostic accuracy of four commercially ...
Adult Pneumothorax Deep Learning Sensitivity and Specificity Retrospective Studies Humans Pleural Effusion Female Artificial Intelligence Radiography, Thoracic Aged
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