Future of AI in medical imaging:
Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic r...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in medical technologies and clinical practice (AMTCP) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes.Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes. |
| Beschreibung: | 1 Online-Ressource (xv, 312 Seiten) Illustrationen |
| ISBN: | 9798369323601 |
| DOI: | 10.4018/979-8-3693-2359-5 |
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| 520 | |a Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes.Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes. | ||
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| discipline | Medizin |
| discipline_str_mv | Medizin |
| doi_str_mv | 10.4018/979-8-3693-2359-5 |
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| id | DE-604.BV049645432 |
| illustrated | Illustrated |
| index_date | 2024-07-03T23:39:48Z |
| indexdate | 2024-12-17T19:01:35Z |
| institution | BVB |
| isbn | 9798369323601 |
| language | English |
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| spelling | Future of AI in medical imaging Avinash Kumar Sharma, Nitin Chanderwal, Shobhit Tyagi, Prashant Upadhyay Future of artificial intelligence in medical imaging Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xv, 312 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in medical technologies and clinical practice (AMTCP) book series Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes.Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes. Artificial intelligence Diagnostic imaging Digital techniques Diagnostic imaging Methods Sharma, Avinash Kumar 1982- edt Chanderwal, Nitin 1978- edt Tyagi, Shobhit 1996- edt Upadhyay, Prashant edt Erscheint auch als Druck-Ausgabe 979-8-3693-2359-5 https://doi.org/10.4018/979-8-3693-2359-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Future of AI in medical imaging Artificial intelligence Diagnostic imaging Digital techniques Diagnostic imaging Methods |
| title | Future of AI in medical imaging |
| title_alt | Future of artificial intelligence in medical imaging |
| title_auth | Future of AI in medical imaging |
| title_exact_search | Future of AI in medical imaging |
| title_exact_search_txtP | Future of AI in medical imaging |
| title_full | Future of AI in medical imaging Avinash Kumar Sharma, Nitin Chanderwal, Shobhit Tyagi, Prashant Upadhyay |
| title_fullStr | Future of AI in medical imaging Avinash Kumar Sharma, Nitin Chanderwal, Shobhit Tyagi, Prashant Upadhyay |
| title_full_unstemmed | Future of AI in medical imaging Avinash Kumar Sharma, Nitin Chanderwal, Shobhit Tyagi, Prashant Upadhyay |
| title_short | Future of AI in medical imaging |
| title_sort | future of ai in medical imaging |
| topic | Artificial intelligence Diagnostic imaging Digital techniques Diagnostic imaging Methods |
| topic_facet | Artificial intelligence Diagnostic imaging Digital techniques Diagnostic imaging Methods |
| url | https://doi.org/10.4018/979-8-3693-2359-5 |
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