Preprint Review Version 1 This version is not peer-reviewed

Advances in Ultrasound-Guided Surgery and Artificial Intelligence Applications in Musculoskeletal Diseases

Version 1 : Received: 1 August 2024 / Approved: 2 August 2024 / Online: 2 August 2024 (06:04:39 CEST)

How to cite: Hattori, S.; Saggar, R.; Heidinger, E. M.; Qi, A.; Mullen, J.; Fee, B.; Brown, C. L.; Canton, S. P.; Scott, D.; Hogan, M. V. Advances in Ultrasound-Guided Surgery and Artificial Intelligence Applications in Musculoskeletal Diseases. Preprints 2024, 2024080132. https://doi.org/10.20944/preprints202408.0132.v1 Hattori, S.; Saggar, R.; Heidinger, E. M.; Qi, A.; Mullen, J.; Fee, B.; Brown, C. L.; Canton, S. P.; Scott, D.; Hogan, M. V. Advances in Ultrasound-Guided Surgery and Artificial Intelligence Applications in Musculoskeletal Diseases. Preprints 2024, 2024080132. https://doi.org/10.20944/preprints202408.0132.v1

Abstract

Ultrasound imaging is a vital imaging tool in musculoskeletal medicine, with the number of publications on ultrasound-guided surgery increasing in recent years. However, ultrasound imaging has drawbacks, such as operator dependency and image obscurity. Artificial Intelligence (AI) and Deep Learning (DL), a subset of AI, can address these issues. DL methods, including segmentation, detection, and localization of target tissues and medical instruments, potentially allow physicians and surgeons to perform ultrasound-guided procedures more accurately and efficiently. This review summarizes recent advances in ultrasound-guided procedures for musculoskeletal diseases and provides a comprehensive overview of the utilization of AI/DL in ultrasound for musculoskeletal medicine, particularly focusing on ultrasound-guided surgery.

Keywords

Musculoskeletal ultrasound; Ultrasound-guided surgery; Artificial Intelligence; Deep Learning; Radiomics

Subject

Medicine and Pharmacology, Orthopedics and Sports Medicine

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