Tianshu Gu, Helin Feng, Minghui Li, Weikuan Gu, Guiying Wang
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引用次数: 0
Abstract
One of the most widely used applications of AI in cancer treatment is in the assistance of imaging [[1], [2]]. Imaging is vital for identifying conditions of different kinds of cancer and improving treatment outcomes [[3], [4], [5]]. AI algorithms enhance the interpretation of medical images, leading to more accurate and timely diagnoses of cancer. Machine learning models assist in detecting anomalies in radiology, pathology, and dermatology images, thereby improving diagnostic precision of cancer and patient outcomes. Researchers have contributed to the development of AI methods for medical imaging, including MRI techniques for determining flow and motion [2].
期刊介绍:
Journal of Advanced Research (J. Adv. Res.) is an applied/natural sciences, peer-reviewed journal that focuses on interdisciplinary research. The journal aims to contribute to applied research and knowledge worldwide through the publication of original and high-quality research articles in the fields of Medicine, Pharmaceutical Sciences, Dentistry, Physical Therapy, Veterinary Medicine, and Basic and Biological Sciences.
The following abstracting and indexing services cover the Journal of Advanced Research: PubMed/Medline, Essential Science Indicators, Web of Science, Scopus, PubMed Central, PubMed, Science Citation Index Expanded, Directory of Open Access Journals (DOAJ), and INSPEC.