… makes ultrasound more intelligent and less operator dependent. … clinical workflow, and reduce health care costs. We also provide a brief background on DL and ultrasound imaging to …
… Thus, image datasets should be representative of images obtained in clinical practice in different institutions and of the people treated in them, which can best be achieved using data …
R Cau, V Cherchi, G Micheletti, M Porcu… - … of thoracic imaging, 2021 - journals.lww.com
… In the era of modern medicine, artificialintelligence (AI) is a growing field of interest … clinicians and engineers in reducing the costs of exams and, at the same time, to improve image …
L Xing, ML Giger, JK Min - 2020 - books.google.com
… Provides history and overview of artificialintelligence, as narrated by pioneers in the field … and artificialintelligence that enabled the application of artificialintelligence Addresses the …
… clinical practice through rigorous validation (10). Various guidelines for reporting evaluation of machinelearning … To aid authors and reviewers of AI manuscripts in medical imaging, we …
HW Ren, Y Wu, JH Dong, WM An, T Yan… - European Review for …, 2020 - europeanreview.org
… to investigate the clinical and CT imaging features of patients with different clinical types of … diagnosis and treatment with the assistance of artificialintelligence (AI)-based quantitative …
… , clinicalimages that have been labeled and interpreted by a human expert. The AI system then learns to execute the interpretation task on new health data of the same type, which …
M Khunte, A Chae, R Wang, R Jain, Y Sun, JR Sollee… - Clinical radiology, 2023 - Elsevier
… To examine the current landscape of US Food and Drug Administration (FDA)-approved artificialintelligence (AI) medical imaging devices and identify trends in clinical validation …
J Chen, D Remulla, JH Nguyen, A Dua, Y Liu… - BJU …, 2019 - Wiley Online Library
… AI applications in urology include: utilizing radiomic imaging or ultrasonic echo data to … images to automate detection of cancer on pathology slides, and combining patient clinical data, …