Applications of machine learning in small animal medical clinic: a scoping review.

Nascimento, V. S. de O. and Chiavegatto Filho, A. D. P.

REDVET (2022) 23: 41–54

Link: http://www.veterinaria.org/index.php/REDVET/article/view/161

Abstract

Artificial intelligence (AI) aims to develop computational strategies capable of performing human-like tasks. It has the potential of creating important tools to transform healthcare, and its applications are advancing faster every day. The objective of this study was to identify recent applications of machine learning in veterinary medicine, more specifically in the medical clinic of small animals. The search of studies published was conducted in Pubmed, CAB and Scopus databases. Studies were selected based on inclusion and exclusion criteria previously defined according to PRISMA guidelines. A total of 20 research articles were identified. Several different types of algorithms were used, with structured and unstructured data as input data and the most used performance metric was the area under the receiver operating characteristic (AUROC). Applications of machine learning can bring important benefits to the clinical practice of small animals, especially regarding diagnosis and prognosis.

Citation

Nascimento, V. S. de O., & Chiavegatto Filho, A. D. P. (2022). Applications of machine learning in small animal medical clinic: a scoping review. REDVET, 23(2), 41–54. http://www.veterinaria.org/index.php/REDVET/article/view/161 Animals, systematic reviews, veterinary medicine, diagnosis, databases, algorithms, Animal Shells, machine learning, artificial intelligence

Keywords

• Animals
• systematic reviews
• veterinary medicine
• diagnosis
• databases
• algorithms
• Animal Shells
• machine learning
• artificial intelligence