Results 21 to 30 of about 97,867 (255)
Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level [PDF]
Ultrasonography, 2022 Purpose This study evaluated how artificial intelligence-based computer-assisted diagnosis (AI-CAD) for breast ultrasonography (US) influences diagnostic performance and agreement between radiologists with varying experience levels in different workflows.
Si Eun Lee +8 more
doaj +1 more source
Computer-aided polyp characterization in colonoscopy: sufficient performance or not? [PDF]
Clinical EndoscopyComputer-assisted polyp characterization (computer-aided diagnosis, CADx) facilitates optical diagnosis during colonoscopy. Several studies have demonstrated high sensitivity and specificity of CADx tools in identifying neoplastic changes in colorectal ...
Natalie Halvorsen, Yuichi Mori
doaj +1 more source
Challenges of computer-assisted orthognathic surgery in clinical application [PDF]
口腔疾病防治After years of development, the advantages of computer-assisted orthognathic surgery have been widely recognized. However, the clinical application of this technology is challenging.
YAN Jiashu, LI Biao, WANG Xudong
doaj +3 more sources
Computation, 2022 Early detection of diseases is vital for patient recovery. This article explains the design and technical matters of a computer-supported diagnostic system for eye melanoma detection implementing a security approach using chaotic-based encryption to ...
Daniel Fernando Santos +1 more
doaj +1 more source
Breast Ultrasound Computer-Aided Diagnosis: Analysis of Types of Errors
대한영상의학회지, 2018 Purpose: The aim of this study was to evaluate the diagnostic performance of breast ultrasound (US) computer-aided diagnosis (CAD) to distinguish between benign and malignant lesions and analyze features of lesions interpreted with errors ...
Min Kyung Jeong +3 more
doaj +1 more source
Journal of Oral and Maxillofacial Radiology, 2020 Background: As bone mineral is one of the major determinants of bone strength, its exact measurement should be useful for the diagnosis of osteoporosis, as well as for the prediction of fracture risk and monitoring of therapeutically response.
Makoto Oohashi +5 more
doaj +1 more source
European Annals of Dental SciencesObjective: Artificial intelligence (AI) and profound learning algorithms have been increasingly used for computerized decision-making in various complex tasks in recent years. This study aimed to compare ChatGPT (OpenAI, San Francisco, California, U.S.)
Hakan Alpay Karasu +4 more
doaj +1 more source
Insights into Imaging, 2023 Key points Computer-aided diagnostics has potential to predict the nature of ovarian tumors. Literature shows heterogeneous sensitivity and specificity of machine learning on ultrasound images, CT-scan images and MRI-scan images. More prospective studies
Anna H. Koch +8 more
doaj +1 more source
Computational and Structural Biotechnology Journal, 2023 Recent studies of automatic diagnosis of vertebral compression fractures (VCFs) using deep learning mainly focus on segmentation and vertebral level detection in lumbar spine lateral radiographs (LSLRs).
Seung Min Ryu +7 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source