Results 1 to 10 of about 4,101,007 (383)
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation [PDF]
arXiv, 2020 Traditionally, abnormal heart sound classification is framed as a three-stage process. The first stage involves segmenting the phonocardiogram to detect fundamental heart sounds; after which features are extracted and classification is performed. Some researchers in the field argue the segmentation step is an unwanted computational burden, whereas ...
Denman, Simon +5 more
arxiv +3 more sources
The Central African journal of medicine, 1958 A CAJM article on the artificial heart as a surgical ...
Thompson, Denis H.
core +3 more sources
The beating heart: artificial intelligence for cardiovascular application in the clinic. [PDF]
MAGMAVillegas-Martinez M +3 more
europepmc +2 more sources
Artificial heart transplantation
Archives of Medicine and Health Sciences, 2017 Abdul Mannan Khan Minhas, Salman Assad
doaj +2 more sources
Application of convolutional neural networks for distal radio-ulnar fracture detection on plain radiographs in the emergency room [PDF]
Clinical and Experimental Emergency Medicine, 2021 Objective Recent studies have suggested that deep-learning models can satisfactorily assist in fracture diagnosis. We aimed to evaluate the performance of two of such models in wrist fracture detection.
Min Woong Kim +8 more
doaj +1 more source
Detection of Heart Valve Function Disorders with Artificial Neural Network (ANN) Algorithm [PDF]
, 2022 Heart disease insidents has generated mortalities at a young age, hindering the occurrence of the 2045 golden generation as one of the determining factors for the occurrence of advanced Indonesia.
Alfarisyi, Bara +2 more
core +1 more source
International Journal of Innovative Science and Research Technology, 2023 Advanced diagnostic techniques are required as cardiovascular diseases continue to pose a serious threat to global health. The scientific community has recently shown a great deal of interest in the application of deep learning techniques to the ...
Pushpendra Kanwar
semanticscholar +1 more source
Artificial intelligence for the echocardiographic assessment of valvular heart disease
Heart, 2022 Developments in artificial intelligence (AI) have led to an explosion of studies exploring its application to cardiovascular medicine. Due to the need for training and expertise, one area where AI could be impactful would be in the diagnosis and ...
R. Nedadur, Bo Wang, W. Tsang
semanticscholar +1 more source
Scientific Reports, 2022 Colonoscopy is an effective tool to detect colorectal lesions and needs the support of pathological diagnosis. This study aimed to develop and validate deep learning models that automatically classify digital pathology images of colon lesions obtained ...
Sun-ju Byeon +3 more
doaj +1 more source