Artificial Intelligence and Machine Learning in Spine Research
This Reprint highlights the rapidly growing role of artificial intelligence (AI) and machine learning (ML) in advancing spine research and clinical care. By harnessing large-scale data and sophisticated algorithms, AI and ML are transforming traditional approaches to diagnosis, treatment planning, a...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Assuntos: | |
| Acesso em linha: | ONIX_20260416T142754_9783725860890_48 |
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| _version_ | 1869529135565504512 |
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| collection | Directory of Open Access Books |
| description | This Reprint highlights the rapidly growing role of artificial intelligence (AI) and machine learning (ML) in advancing spine research and clinical care. By harnessing large-scale data and sophisticated algorithms, AI and ML are transforming traditional approaches to diagnosis, treatment planning, and outcome prediction for spinal disorders. The contributions in this Reprint illustrate how these technologies improve imaging analysis, enable personalized treatment strategies, and support predictive modeling to enhance patient outcomes. This Reprint also addresses the challenges and ethical considerations associated with AI-driven research, including data quality, algorithm transparency, and clinical integration. Through a collection of recent studies and reviews, it offers an in-depth overview of how AI and ML are shaping the future of spine medicine, from automated imaging interpretation to predictive analytics and patient-specific care. This Reprint serves as a valuable reference for clinicians, researchers, and technologists seeking to understand and apply AI and ML innovations within the field of spine research. It underscores the potential of these technologies to revolutionize diagnostics; improve therapeutic precision; and contribute to safer, more effective, and personalized spinal healthcare. |
| format | Online |
| id | doab-20.500.12854ir-175093 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1750932026-04-16T18:53:28Z Artificial Intelligence and Machine Learning in Spine Research Chang, Min Cheol Spinal disorder Artificial intelligence Machine learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries This Reprint highlights the rapidly growing role of artificial intelligence (AI) and machine learning (ML) in advancing spine research and clinical care. By harnessing large-scale data and sophisticated algorithms, AI and ML are transforming traditional approaches to diagnosis, treatment planning, and outcome prediction for spinal disorders. The contributions in this Reprint illustrate how these technologies improve imaging analysis, enable personalized treatment strategies, and support predictive modeling to enhance patient outcomes. This Reprint also addresses the challenges and ethical considerations associated with AI-driven research, including data quality, algorithm transparency, and clinical integration. Through a collection of recent studies and reviews, it offers an in-depth overview of how AI and ML are shaping the future of spine medicine, from automated imaging interpretation to predictive analytics and patient-specific care. This Reprint serves as a valuable reference for clinicians, researchers, and technologists seeking to understand and apply AI and ML innovations within the field of spine research. It underscores the potential of these technologies to revolutionize diagnostics; improve therapeutic precision; and contribute to safer, more effective, and personalized spinal healthcare. 2026-04-16T18:53:22Z 2026-04-16T18:53:22Z 2025 book ONIX_20260416T142754_9783725860890_48 9783725860890 9783725860906 https://directory.doabooks.org/handle/20.500.12854/175093 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11997 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-6090-6 10.3390/books978-3-7258-6090-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725860890 9783725860906 172 CH open access |
| spellingShingle | Spinal disorder Artificial intelligence Machine learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Artificial Intelligence and Machine Learning in Spine Research |
| title | Artificial Intelligence and Machine Learning in Spine Research |
| title_full | Artificial Intelligence and Machine Learning in Spine Research |
| title_fullStr | Artificial Intelligence and Machine Learning in Spine Research |
| title_full_unstemmed | Artificial Intelligence and Machine Learning in Spine Research |
| title_short | Artificial Intelligence and Machine Learning in Spine Research |
| title_sort | artificial intelligence and machine learning in spine research |
| topic | Spinal disorder Artificial intelligence Machine learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Spinal disorder Artificial intelligence Machine learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725860890_48 |