Clinical Anatomy in Imaging: Leveraging Structural Data for Enhanced Pathological Precision
The integration of clinical anatomy with advanced imaging techniques is pivotal for enhancing pathological precision in medical diagnostics and treatment planning [12][13][14].Recent literature highlights various methodologies and technologies that leverage structural data to improve clinical outcomes across different medical fields.One significant advancement is the use of three-dimensional (3D) models derived from imaging data, which has been shown to enhance surgical navigation and preoperative planning.For instance, Liawrungrueang et al. [15] developed highresolution 3D models of the C1 and C2 vertebrae, enabling comprehensive morphometric analysis that aids in identifying gender differences and assessing bilateral symmetry, ultimately enhancing surgical accuracy.Similarly, Miyoshi [16] emphasizes the construction of 3D models from preoperative imaging data to support surgical simulations and navigation, showcasing the potential of these models in perioperative care.AI plays a crucial role in refining diagnostic imaging processes.Luvhengo et al. [17] discuss how AI-driven precision oncology can significantly
Authors
- Aishwarya Tummala
- Anshul Yadav
- Ahmed Asif Shaik
- Jahnavi Kudapa
Publication Details
- Journal
- Journal of Clinical and Anatomic Pathology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47275/2332-4864-129
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00