Trends of Artificial Intelligence and Big Data for E-Health
Langue : anglais
Edité par Springer, 2024
- Livre broché
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Trends of Artificial Intelligence and Big Data for E-Health | Houneida Sakly (u. a.) | Taschenbuch | Integrated Science | x | Englisch | 2024 | Springer | EAN 9783031112010 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
N° de réf. du vendeur 128161390
- Titre
- Trends of Artificial Intelligence and Big Data for E-Health
- Auteur
- Houneida Sakly (u. a.)
- Éditeur
- Springer
- Année de publication
- 2024
- État de l'article
- Neu
- Reliure
- Taschenbuch
- Langue
- anglais
- ISBN à 10 chiffres
- 3031112016
- ISBN à 13 chiffres
- 9783031112010
- Poids de l'article
- 406 grammes
- Dimensions
- 235 x 155 x 15 mm
- Catalogues du vendeur
- Bücher
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
Kristen Yeom is a Professor of Radiology at Stanford University with a research focus on clinical and translational studies of quantitative MRI. She is also on the executive board for Center for Artificial Intelligence in Medicine and Imaging at Stanford and serves as the Chair of the American Society of Pediatric Neuroradiology Grant Committee. Her recent works include radiomic and machine-learning strategies for brain tumor evaluation, as well as various computer vision tasks in clinical imaging towards precision. Dr. Safwan Halabi is an Associate Professor of Radiology at the Northwestern University School of Medicine, Vice-Chair of Radiology Informatics, and Associate CMIO at Lurie Children's Hospital. He also serves as the Director of Fetal Imaging at The Chicago Institute for Fetal Health. He is board-certified in Radiology with a Certificate of Added Qualification in Pediatric Radiology. He is also board-certified in Clinical Informatics. He clinically practices fetal and pediatric imaging at Lurie Children's Hospital. Dr.Halabi's clinical and administrative leadership roles are directed at improving the quality of care, efficiency, and patient safety. He has also led strategic efforts to improve the enterprise imaging platforms at Lurie Children's Hospital. He is a strong advocate of patient-centric care and has helped guide policies for radiology reports and image release to patients. He has published in peer-reviewed journals on various clinical and informatics topics. His current academic and research interests include imaging informatics, deep/machine learning in imaging, artificial intelligence in medicine, clinical decision support, and patient-centric health care delivery. He is currently the Chair of the RSNA Informatics Data Science Committee and serves as a Board Member for the Society for Imaging Informatics in Medicine.
Mourad Said, MD. Associate Professor in radiology and medical imaging since 2002. Member of the regional committee Africa-Middle East of the Radiological Society of North America RSNA 2014-2018. Author Reviewer for the prestigious Journal "Radiology" for many years. Different scientific presentations in RSNA meetings. He is board-certified in MRI from South Paris university. Qualifications in Pediatric/ Obstetric Radiology and MSK Imaging. He is actually interested in artificial intelligence in medical Imaging, deep learning and Radiomics with different publications. Jayne Seekins. Clinical Assistant Professor of Radiology, Stanford University. Research interests include fellow, resident and medical student education as well as Global Health.
Moncef TAGINA. Professor of Higher education and the co-founder of the COSMOS Laboratory in the National School of Computer Sciences (ENSI) in Tunisia (ENSI).He is the Director of the Doctoral School and President of the thesis committee .
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