Artificial-Intelligence (AI) Enhanced Sonar Technologies and Emerging LiDAR Applications in Body Composition and Diagnostics – American Journal of Student Research

American Journal of Student Research

Artificial-Intelligence (AI) Enhanced Sonar Technologies and Emerging LiDAR Applications in Body Composition and Diagnostics

Publication Date : Nov-17-2025

DOI: 10.70251/HYJR2348.36520526


Author(s) :

Ayaan Anand, Ayush V Madhar, Gitanjali Srivastava, MD.


Volume/Issue :
Volume 3
,
Issue 6
(Nov - 2025)



Abstract :

This paper explores the integration of Sonar and LiDAR technologies in body composition imaging and biomedical applications. Sonar, primarily used in ultrasound and elastography, offers non-invasive, radiation-free imaging and therapeutic capabilities, including emerging uses in cell manipulation and tissue engineering. LiDAR, traditionally used in environmental mapping, is now being adapted for medical imaging through surface mapping, morphological analysis, and radiation-free 3D scanning. The synergy between these sensory technologies and artificial intelligence, particularly convolutional neural networks, enhances diagnostic precision, patient monitoring, and procedural guidance. This review highlights the strengths, limitations, and emerging innovations of Sonar and LiDAR in advancing non invasive diagnostics and personalized medicine.