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

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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
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article

Clinical Anatomy in Imaging: Leveraging Structural Data for Enhanced Pathological Precision

Aishwarya Tummala, Anshul Yadav, Ahmed Asif Shaik, Jahnavi Kudapa
Journal of Clinical and Anatomic Pathology
AI in cancer detection
article

Clinical Anatomy in Imaging: Leveraging Structural Data for Enhanced Pathological Precision

Aishwarya Tummala, Anshul Yadav, Ahmed Asif Shaik, Jahnavi Kudapa
article en

Abstract

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

Journal of Clinical and Anatomic PathologyVol. 10(1)
Openalex Percentile: Top 91%
AI in cancer detection
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Clinical Anatomy in Imaging: Leveraging Structural Data for Enhanced Pathological Precision — Aishwarya Tummala, Anshul Yadav, et al. · Journal of Clinical and Anatomic Pathology (2025) | TGRS Research Map | TGRS