Connectomic Medicine (ePub)
Guide to Brain AI in Treatment Decision Planning
(Sprache: Englisch)
Connectomic Medicine: A Guide to Brain AI in Treatment Decision Planning examines how to apply connectomics to clinical medicine, including discussions on techniques, applications, novel ideas, and in case examples that highlight the state-of-the-art....
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Connectomic Medicine: A Guide to Brain AI in Treatment Decision Planning examines how to apply connectomics to clinical medicine, including discussions on techniques, applications, novel ideas, and in case examples that highlight the state-of-the-art. Written by pioneers, this volume serves as the foundation for all neuroscience clinicians/researchers venturing into the field of AI medicine, its realistic applications, and how to integrate AI connectomics into clinical practice. With widespread applications in neurology, neurosurgery and psychiatry, this book is appropriate for anyone interested in cerebral network anatomy, imaging techniques, and insights into this emerging field.
- Empowers readers to utilize clinically applicable AI platforms to enhance current neurological and psychiatric practices
- Provides understanding on how brain connectomics pertain to patients with brain-related ailments
- Serves as a guide towards maximally using existing connectomics software
- Details relevant clinical and radiological background
Autoren-Porträt von Michael E. Sughrue, Jacky T. Yeung, Nicholas B. Dadario
Dr. Sughrue is Associate Professor at the Department of Neurosurgery at Prince of Wales Hospital and Community Health Services in Sydney, Australia. One of the world's leading neurosurgeons and researchers in connectomics, he is the former Director of the Brain Tumor Center at the University of Oklahoma, during which it grew to become one of the largest clinics in the US. He has lectured around the world on the management of glioma and the use of connectomics, having performed over 3,000 brain tumor surgeries to date and published over 250 peer-reviewed articles. In addition, he cofounded Omniscient Neurotechnology which is an innovative technology startup aimed at using AI to improve the care of patients with mental illness and brain disease.
Bibliographische Angaben
- Autoren: Michael E. Sughrue , Jacky T. Yeung , Nicholas B. Dadario
- 2023, 250 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0443190909
- ISBN-13: 9780443190902
- Erscheinungsdatum: 01.12.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 87 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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