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VetMed Resource

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Abstract

To date, deep learning technologies have provided powerful decision support systems to radiologists in human medicine. The aims of this retrospective, exploratory study were to develop and describe an artificial intelligence able to screen thoracic radiographs for primary thoracic lesions in feline ...

Author(s)
Boissady, E.; Comble, A. de la; Zhu XiaoJuan; Hespel, A. M.
Publisher
Wiley, Boston, USA
Citation
Veterinary Radiology & Ultrasound, 2020, 61, 6, pp 619-627
Abstract

The concept of artificial intelligence and its key techniques was introduced, and then research and development and application were expounded from aspects such as intelligent diagnosis systems for poultry disease, intelligent decision-making platforms for poultry production, intelligent...

Author(s)
Lin JingHua; Zhu We; Sun Kai; Yin RuoXin; Li HuiMin
Publisher
Editorial Board on China Poultry, Jiangsu, China
Citation
China Poultry, 2018, 40, 9, pp 61-63
Abstract

This special issue contains 4 papers on transforming agriculture with artificial intelligence (AI). Three field reports and one analysis on the application of artificial intelligence in agriculture is discussed. Topics covered include: the use of AI in a Nigerian start-up to guarantee markets for...

Publisher
Technical Centre for Agricultural and Rural Cooperation (CTA), Wageningen, Netherlands
Citation
Spore, 2019, 195, pp 17-28
Abstract

The demand for high-quality food products is increasing globally at unprecedented rates in response to growing health concerns and consumer awareness about healthy food options. Yet, the tools for determining food quality remain restricted to well-equipped laboratories, not readily accessible to...

Author(s)
Iymen, G.; Tanriver, G.; Hayirlioglu, Y. Z.; Ergen, O.
Publisher
Elsevier Ltd, Oxford, UK
Citation
Innovative Food Science & Emerging Technologies, 2020, 66,
Abstract

Mobilizing Artificial Intelligence (AI) approaches in Animal Health (AH) makes it possible to address issues of high logical or algorithmic complexity such as those encountered in quantitative and predictive epidemiology, precision-based medicine, or to study host × pathogen relationships. AI can...

Author(s)
Ezanno, P.; Picault, S.; Winter, N.; Beaunée, G.; Monod, H.; Guégan, J. F.
Publisher
Institut National de la Recherche Agronomique, Paris, France
Citation
INRA Productions Animales, 2020, 33, 2, pp 95-108
Abstract

India is witnessing raising interest in animal identification and traceability in recent years. Identification and tagging of productive bovines across India with the internationally accepted 12 digit unique animal identification number using bar coded ear tags under the national program of...

Author(s)
Girish, P. S.; Santhosh, K.; Kartikeya, K.; Prathvi Palekar; Harikrishna, C. H.; Suresh Rathod
Publisher
Indian Council of Agricultural Research, New Delhi, India
Citation
Indian Journal of Animal Sciences, 2020, 90, 7, pp 1070-1073
Abstract

Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to address highly complex issues such as those encountered in quantitative and predictive epidemiology, animal/human precision-based medicine, or to study host × pathogen interactions. AI may contribute (i)...

Author(s)
Ezanno, P.; Picault, S.; Beaunée, G.; Bailly, X.; Muñoz, F.; Duboz, R.; Monod, H.; Guégan, J. F.
Publisher
BioMed Central Ltd, London, UK
Citation
Veterinary Research, 2021, 52, 40, pp (06 March 2021)
Abstract

Background: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the current pandemic situation before it could become ...

Author(s)
Ke YiYu; Peng TzuTing; Yeh TengKuang; Huang WenZheng; Chang ShaoEn; Wu SzuHuei; Hung HuiChen; Hsu TsuAn; Lee ShiowJu; Song JengShin; Lin WenHsing; Chiang TungJung; Lin JiunnHorng; Sytwu HueyKang; Chen ChiungTong
Publisher
Chang Gung University, Taoyuan City, Taiwan
Citation
Biomedical Journal, 2020, 43, 4, pp 355-362
Abstract

Although deep learning has been explored extensively for computer-aided medical imaging diagnosis in human medicine, very little has been done in veterinary medicine. The goal of this retrospective, pilot project was to apply the deep learning artificial intelligence technique using thoracic...

Author(s)
Li Shen; Wang ZiGui; Visser, L. C.; Wisner, E. R.; Cheng Hao
Publisher
Wiley, Boston, USA
Citation
Veterinary Radiology & Ultrasound, 2020, 61, 6, pp 611-618
Abstract

Artificial intelligence and machine learning have promising applications in several medical fields of diagnosis, imaging, and laboratory testing procedures. However, the use of this technology in the veterinary medicine field is lagging behind, and there are many areas where it could be used with...

Author(s)
Fraiwan, M. A.; Abutarbush, S. M.
Publisher
Elsevier, New York, USA
Citation
Journal of Equine Veterinary Science, 2020, 90,

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