- 3.3Impact Factor
- 6.7CiteScore
- 16 daysTime to First Decision
Journal of Imaging, Volume 9, Issue 12
December 2023 - 29 articles
Cover Story: The advancement of medical prognoses hinges on timely and reliable assessments. Conventional methods of diagnosis, which are often reliant on human expertise, lead to inconsistencies due to professionals’ subjectivity, knowledge, and experience. To address these problems head-on, we harnessed artificial intelligence to introduce a transformative solution. We used convolutional neural networks to segment vertebrae accurately and precisely identify Cobb angle measurements. We also compared physicians’ manual evaluations against our machine-driven measurements to further validate our approach’s practicality and reliability. An insignificant difference between the two methods was identified. Our work consistently upholds the premise that scoliosis examination is the key to improving and advancing healthcare. View this paper
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J. Imaging - ISSN 2313-433X