Häftad, Engelska, 2026
The Radiology AI Handbook
Av Adam E.M. Eltorai, James M. Hillis, Rajat Chand, Sudhen B. Desai, Katherine P. Andriole
2489 kr
Skickas tisdag 10/11. Fri frakt för medlemmar vid köp för minst 249 kr.
Beskrivning
Artificial intelligence has the potential to transform many areas of medicine and is already a growing factor in the field of radiology. The Radiology AI Handbook offers the current, authoritative information you need in order to better understand AI and how to incorporate it into your daily practice. Written by clinical and computer science experts in AI, this book provides a comprehensive overview of the fundamental concepts, technology, research/development/validation, and regulatory considerations for current and emerging radiology AI applications in each subspecialty.
Produktinformation
- Utgivningsdatum: 2026-01-16
- Mått: 152 x 229 x 11 mm
- Vikt: 300 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 256
- Förlag: Elsevier Health Sciences
- ISBN: 9780323877602
Utforska kategorier
Mer information
Dr Adam E. M. Eltorai, MD, PhD completed his graduate studies in Biomedical Engineering and Biotechnology along with his medical degree from Brown University. His work has spanned the translational spectrum with a focus on medical technology innovation and development. Dr. Eltorai has published numerous articles and books.Dr. Rajat Chand is a board-certified adult and pediatric interventional radiologist.
Recensioner i media
"This slim 256-page book... authoritatively provid[es] the key current information needed to understand the role and application of artificial intelligence (AI) and machine learning in radiology.... Written by both clinical and data science experts with the aim of providing a comprehensive overview for application in clinical practice.... [the] contents are general and related to fundamental concepts, including technology and regulatory considerations, using a teaching path that also takes into account research, development and validation.... [T]he book discusses both interpretive and non-interpretive applications, and includes multiple case studies throughout.... [T]his publication may represent a good introduction to AI in radiology either for clinical radiologists and for students and trainees in the discipline, also having the ability to arouse the interest of other professionals interested in the subject." Review by Luigi Mansi, European Journal of Nuclear Medicine and Molecular Imaging, June 2026
Butikslager
Ej i lager i butik.
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.