Name: Artificial Intelligence in Medicine: Technical Basis and Clinical Applications (en Inglés)
Price: 762556.00 COP
Availability: InStock
Author: Xing Lei,Giger Maryellen L.,Min James K.
ISBN: 9780128212592

portada Artificial Intelligence in Medicine: Technical Basis and Clinical Applications (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Xing Lei,Giger Maryellen L.,Min James K.

Idioma

Inglés

N° páginas

568

Encuadernación

Tapa Blanda

ISBN13

9780128212592

N° edición

Artificial Intelligence in Medicine: Technical Basis and Clinical Applications (en Inglés)

Xing Lei,Giger Maryellen L.,Min James K. (Autor) · Academic Press · Tapa Blanda

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Reseña del libro "Artificial Intelligence in Medicine: Technical Basis and Clinical Applications (en Inglés)"

Artificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine.