Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry:
While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certai...
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
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Schriftenreihe: | Advances in medical diagnosis, treatment, and care (AMDTC) book series
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Schlagworte: | |
Online-Zugang: | DE-898 DE-91 DE-1050 Volltext |
Zusammenfassung: | While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE).This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide. |
Beschreibung: | 1 Online-Ressource (458 Seiten) |
ISBN: | 9798369321065 |
DOI: | 10.4018/979-8-3693-2105-8 |
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discipline | Medizin |
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doi_str_mv | 10.4018/979-8-3693-2105-8 |
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illustrated | Not Illustrated |
index_date | 2024-07-03T23:39:47Z |
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institution | BVB |
isbn | 9798369321065 |
language | English |
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physical | 1 Online-Ressource (458 Seiten) |
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series2 | Advances in medical diagnosis, treatment, and care (AMDTC) book series |
spelling | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry Alex Khang Medical robotics and artificial intelligence-assisted diagnostics for a high-tech healthcare industry Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (458 Seiten) txt rdacontent c rdamedia cr rdacarrier Advances in medical diagnosis, treatment, and care (AMDTC) book series While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE).This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide. Artificial intelligence Medical applications Robotics in medicine Khang, Alex (DE-588)1333979959 edt Erscheint auch als Druck-Ausgabe 979-8-3693-2105-8 https://doi.org/10.4018/979-8-3693-2105-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry Artificial intelligence Medical applications Robotics in medicine |
title | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry |
title_alt | Medical robotics and artificial intelligence-assisted diagnostics for a high-tech healthcare industry |
title_auth | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry |
title_exact_search | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry |
title_exact_search_txtP | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry |
title_full | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry Alex Khang |
title_fullStr | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry Alex Khang |
title_full_unstemmed | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry Alex Khang |
title_short | Medical robotics and AI-assisted diagnostics for a high-tech healthcare industry |
title_sort | medical robotics and ai assisted diagnostics for a high tech healthcare industry |
topic | Artificial intelligence Medical applications Robotics in medicine |
topic_facet | Artificial intelligence Medical applications Robotics in medicine |
url | https://doi.org/10.4018/979-8-3693-2105-8 |
work_keys_str_mv | AT khangalex medicalroboticsandaiassisteddiagnosticsforahightechhealthcareindustry AT khangalex medicalroboticsandartificialintelligenceassisteddiagnosticsforahightechhealthcareindustry |