Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations

IF 2.2 3区 农林科学 Q1 VETERINARY SCIENCES
Silvia Burti , Tommaso Banzato , Simon Coghlan , Marek Wodzinski , Margherita Bendazzoli , Alessandro Zotti
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引用次数: 0

Abstract

The field of veterinary diagnostic imaging is undergoing significant transformation with the integration of artificial intelligence (AI) tools. This manuscript provides an overview of the current state and future prospects of AI in veterinary diagnostic imaging.

The manuscript delves into various applications of AI across different imaging modalities, such as radiology, ultrasound, computed tomography, and magnetic resonance imaging. Examples of AI applications in each modality are provided, ranging from orthopaedics to internal medicine, cardiology, and more. Notable studies are discussed, demonstrating AI's potential for improved accuracy in detecting and classifying various abnormalities.

The ethical considerations of using AI in veterinary diagnostics are also explored, highlighting the need for transparent AI development, accurate training data, awareness of the limitations of AI models, and the importance of maintaining human expertise in the decision-making process. The manuscript underscores the significance of AI as a decision support tool rather than a replacement for human judgement.

In conclusion, this comprehensive manuscript offers an assessment of the current landscape and future potential of AI in veterinary diagnostic imaging. It provides insights into the benefits and challenges of integrating AI into clinical practice while emphasizing the critical role of ethics and human expertise in ensuring the wellbeing of veterinary patients.

兽医诊断成像中的人工智能:前景与局限
随着人工智能(AI)工具的融入,兽医诊断成像领域正在经历重大变革。本手稿概述了人工智能在兽医诊断成像领域的现状和未来前景。手稿深入探讨了人工智能在放射学、超声波、计算机断层扫描和磁共振成像等不同成像模式中的各种应用。手稿深入探讨了人工智能在放射学、超声波、计算机断层扫描和磁共振成像等不同成像模式中的各种应用,并提供了人工智能在每种模式中的应用实例,包括骨科、内科、心脏科等。稿件还探讨了在兽医诊断中使用人工智能的伦理考虑因素,强调了人工智能开发透明化的必要性、准确的训练数据、对人工智能模型局限性的认识以及在决策过程中保持人类专业知识的重要性。总之,这份内容全面的手稿对人工智能在兽医诊断成像领域的现状和未来潜力进行了评估。它深入探讨了将人工智能融入临床实践的益处和挑战,同时强调了伦理道德和人类专业知识在确保兽医患者福祉方面的关键作用。
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
Research in veterinary science
Research in veterinary science 农林科学-兽医学
CiteScore
4.40
自引率
4.20%
发文量
312
审稿时长
75 days
期刊介绍: Research in Veterinary Science is an International multi-disciplinary journal publishing original articles, reviews and short communications of a high scientific and ethical standard in all aspects of veterinary and biomedical research. The primary aim of the journal is to inform veterinary and biomedical scientists of significant advances in veterinary and related research through prompt publication and dissemination. Secondly, the journal aims to provide a general multi-disciplinary forum for discussion and debate of news and issues concerning veterinary science. Thirdly, to promote the dissemination of knowledge to a broader range of professions, globally. High quality papers on all species of animals are considered, particularly those considered to be of high scientific importance and originality, and with interdisciplinary interest. The journal encourages papers providing results that have clear implications for understanding disease pathogenesis and for the development of control measures or treatments, as well as those dealing with a comparative biomedical approach, which represents a substantial improvement to animal and human health. Studies without a robust scientific hypothesis or that are preliminary, or of weak originality, as well as negative results, are not appropriate for the journal. Furthermore, observational approaches, case studies or field reports lacking an advancement in general knowledge do not fall within the scope of the journal.
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