AIMC Topic: Diagnosis, Computer-Assisted

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Role of Artificial Intelligence for Colon Polyp Detection and Diagnosis and Colon Cancer.

Gastrointestinal endoscopy clinics of North America Nov 26, 2024
The broad use of artificial intelligence (AI) and its various applications have already shown significant impact in medicine and in everyday life. In gastroenterology, the most studied AI tools at present are computer-aided detection (CADe) and compu...
Colonic Polyps Colonoscopy Humans Artificial Intelligence Diagnosis, Computer-Assisted Colonic Neoplasms
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Multi-scale region selection network in deep features for full-field mammogram classification.

Medical image analysis Nov 26, 2024
Early diagnosis and treatment of breast cancer can effectively reduce mortality. Since mammogram is one of the most commonly used methods in the early diagnosis of breast cancer, the classification of mammogram images is an important work of computer...
Deep Learning Mammography Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Humans Algorithms Diagnosis, Computer-Assisted Female Neural Networks, Computer
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AI-assisted diagnosis of vulvovaginal candidiasis using cascaded neural networks.

Microbiology spectrum Nov 22, 2024
UNLABELLED: Vulvovaginal candidiasis (VVC) is a prevalent fungal ailment affecting women globally. Timely and accurate diagnosis is crucial. Traditional methods, relying on clinical evaluation and manual microscopic examination, have limitations. Art...
Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Microscopy Candidiasis, Vulvovaginal Candida Humans Neural Networks, Computer Artificial Intelligence Female
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Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence.

Biomedical physics & engineering express Nov 21, 2024
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to permanent blindness without treatment. Early-stage ROP diagnosis is vital in providing optimal therapy for the neonates. The proposed study predicts ea...
Fundus Oculi Retina Image Interpretation, Computer-Assisted Support Vector Machine Principal Component Analysis Algorithms Neural Networks, Computer Infant, Newborn Retinopathy of Prematurity Artificial Intelligence ROC Curve Machine Learning Humans Image Processing, Computer-Assisted Diagnosis, Computer-Assisted
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Artificial intelligence-driven intelligent learning models for identification and prediction of cardioneurological disorders: A comprehensive study.

Computers in biology and medicine Nov 20, 2024
The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs) in healthcare has transformed the field, offering precise diagnostics, remote monitoring, personalized treatment, and more. Cardioneurological disorders (CD), affe...
Cardiovascular Diseases Diagnosis, Computer-Assisted Artificial Intelligence Machine Learning Humans
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Impact of Deep Learning-Based Computer-Aided Detection and Electronic Notification System for Pneumothorax on Time to Treatment: Clinical Implementation.

Journal of the American College of Radiology : JACR Nov 19, 2024
OBJECTIVE: To assess whether the implementation of deep learning (DL) computer-aided detection (CAD) that screens for suspected pneumothorax (PTX) on chest radiography (CXR) combined with an electronic notification system (ENS) that simultaneously al...
Radiography, Thoracic Pneumothorax Deep Learning Time-to-Treatment Aged Adult Middle Aged Diagnosis, Computer-Assisted Male Humans Retrospective Studies Female
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Early multi-cancer detection through deep learning: An anomaly detection approach using Variational Autoencoder.

Journal of biomedical informatics Nov 19, 2024
Cancer is a disease that causes many deaths worldwide. The treatment of cancer is first and foremost a matter of detection, a treatment that is most effective when the disease is detected at an early stage. With the evolution of technology, several c...
Deep Learning Early Detection of Cancer Diagnosis, Computer-Assisted Algorithms Humans Neoplasms Transcriptome Neural Networks, Computer
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Enhancing detection of various pancreatic lesions on endoscopic ultrasound through artificial intelligence: a basis for computer-aided detection systems.

Journal of gastroenterology and hepatology Nov 13, 2024
BACKGROUND AND AIM: Endoscopic ultrasound (EUS) is the most sensitive method for evaluation of pancreatic lesions but is limited by significant operator dependency. Artificial intelligence (AI), in the form of computer-aided detection (CADe) systems,...
Humans Pancreatic Neoplasms Pancreatic Diseases Endosonography Artificial Intelligence Diagnosis, Computer-Assisted Pancreas
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Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024).

Computer methods and programs in biomedicine Nov 12, 2024
BACKGROUND AND OBJECTIVES: Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) are progressive neurological disorders that significantly impair the cognitive functions, memory, and daily activities. They affect millions of individuals worldw...
Alzheimer Disease Deep Learning Humans Diagnosis, Computer-Assisted Cognitive Dysfunction Electroencephalography
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A medical disease assisted diagnosis method based on lightweight fuzzy SZGWO-ELM neural network model.

Scientific reports Nov 11, 2024
The application of neural network model in intelligent diagnosis usually encounters challenges such as continuous adjustment of network parameters and significant cost in training the network facing numerous complex physiological data. To address thi...
Algorithms Diagnosis, Computer-Assisted Fuzzy Logic Humans Neural Networks, Computer
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