Results 1 to 10 of about 4,274,299 (294)
The beating heart: artificial intelligence for cardiovascular application in the clinic [PDF]
MAGMAArtificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advancing patient care, automating post-processing tasks, and enhancing diagnostic precision and outcomes.
M. Villegas-Martínez +3 more
semanticscholar +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
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
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
JACC: Advances, 2023 Background Detection of heart failure with preserved ejection fraction (HFpEF) involves integration of multiple imaging and clinical features which are often discordant or indeterminate.
A. Akerman +18 more
semanticscholar +1 more source
Iran Journal of Computer Science, 2023 Consolidated efforts have been made to enhance the treatment and diagnosis of heart disease due to its detrimental effects on society. As technology and medical diagnostics become more synergistic, data mining and storing medical information can improve ...
Md. Imam Hossain +6 more
semanticscholar +1 more source
The Lancet Digital Health, 2023 Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outcomes,
S. Cruz Rivera +6 more
semanticscholar +1 more source
Scientific Reports, 2023 Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks.
Joo-Hee Lee +5 more
doaj +1 more source
Application and Potential of Artificial Intelligence in Heart Failure: Past, Present, and Future
International Journal of Heart Failure, 2023 The prevalence of heart failure (HF) is increasing, necessitating accurate diagnosis and tailored treatment. The accumulation of clinical information from patients with HF generates big data, which poses challenges for traditional analytical methods.
M. Yoon +6 more
semanticscholar +1 more source