AI-powered techniques in anatomical imaging: Impacts on veterinary diagnostics and surgery

IF 2 3区医学 Q2 ANATOMY & MORPHOLOGY

Annals of Anatomy-Anatomischer Anzeiger Pub Date : 2024-11-21 DOI:10.1016/j.aanat.2024.152355

A.S. Vickram , Shofia Saghya Infant , Priyanka , Hitesh Chopra

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引用次数: 0

Abstract

Background

Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging, offering improved accuracy, speed, and efficiency in analyzing complex anatomical structures. AI-powered systems, including deep learning and convolutional neural networks, show promise in interpreting medical images from various modalities like X-rays, ultrasounds, CT scans, and MRI/mammography.

Study design

Narrative review

Objective

This review aims to explore the innovations and challenges of AI-enabled imaging tools in veterinary diagnostics and surgery, highlighting their potential impact on diagnostic accuracy, surgical risk mitigation, and personalized veterinary healthcare.

Methods

We reviewed recent literature on AI applications in veterinary diagnostic imaging, focusing on their benefits, limitations, and future directions.

Conclusion

AI-enabled imaging tools hold immense potential for revolutionizing veterinary diagnostics and surgery. By enhancing diagnostic accuracy, enabling precise surgical planning, and supporting personalized treatment strategies, AI can significantly improve animal health outcomes. However, addressing challenges related to data privacy, algorithm bias, and integration into clinical workflows is crucial for the widespread adoption and success of these transformative technologies.

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人工智能驱动的解剖成像技术：对兽医诊断和外科手术的影响。

背景：人工智能（AI）正在迅速改变兽医诊断成像，为分析复杂的解剖结构提供更高的准确性、速度和效率。人工智能驱动的系统，包括深度学习和卷积神经网络，在解读X光、超声波、CT扫描和核磁共振成像/乳房X光摄影等各种模式的医学影像方面大有可为：叙述性综述目的：本综述旨在探讨人工智能成像工具在兽医诊断和外科手术中的创新和挑战，强调其对诊断准确性、手术风险缓解和个性化兽医医疗保健的潜在影响：方法：我们回顾了近期有关人工智能在兽医诊断成像中应用的文献，重点关注其优势、局限性和未来发展方向：结论：人工智能成像工具在彻底改变兽医诊断和外科手术方面潜力巨大。通过提高诊断准确性、实现精确的手术规划和支持个性化治疗策略，人工智能可显著改善动物的健康状况。然而，解决与数据隐私、算法偏差和整合到临床工作流程相关的挑战，对于这些变革性技术的广泛采用和成功至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Annals of Anatomy-Anatomischer Anzeiger 医学-解剖学与形态学

CiteScore

4.40

自引率

22.70%

发文量

137

审稿时长

33 days

期刊介绍： Annals of Anatomy publish peer reviewed original articles as well as brief review articles. The journal is open to original papers covering a link between anatomy and areas such as •molecular biology, •cell biology •reproductive biology •immunobiology •developmental biology, neurobiology •embryology as well as •neuroanatomy •neuroimmunology •clinical anatomy •comparative anatomy •modern imaging techniques •evolution, and especially also •aging