Connectomic medicine guide to brain AI in treatment decision planning / Michael E. Sughrue, Jacky T. Yeung, Nicholas B. Dadario.
| Author/creator | Sughrue, Michael E. |
| Other author | Yeung, Jacky T. |
| Other author | Dadario, Nicholas B. |
| Format | Electronic |
| Publication Info | London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2024] |
| Description | xix, 286 pages : illustrations (chiefly color) ; 24 cm |
| Supplemental Content | Full text available from Elsevier ScienceDirect eBook - Neuroscience and Psychology 2023 |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "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."--Amazon.com. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| ISBN | 9780443190896 paperback |
| ISBN | 0443190895 paperback |
| ISBN | electronic publication |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |