Peer-Reviewed A.I. in One Health and Human Medicine

Important - before you start reading the papers:
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Just as peer reviewed medicine ensures reliability in veterinary publications, it’s essential for artificial intelligence models to also undergo similar scrutiny before they are integrated into practice. Be aware that the current landscape of artificial intelligence regulation is sparse and fragmented--even for some of the models that are making it into our practices. Because of this, like any other facet of medicine, it's important to understand the science behind what you're using and use these technologies responsibly.
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To understand the reliability of the artificial intelligence you're using, you need to understand how A.I. models are created, including the stages of the development pipeline. Spoiler alert: If you assume the "end" of the development pipeline is the veterinary A.I. technology that exists within your practice, you're going to be sorely disappointed, or perhaps terrified, like I was when I learned how "not close to the end" most A.I. that we commonly use is - not just veterinary options.
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For an introduction to artificial intelligence models, pipelines, and how to critique publications, go to this blog.​​​
Peer-Reviewed A.I. Papers in One Health & Human Medicine
Cardiology
2024
2020
Internal Medicine
(Large Animal)
2022
2022
Internal Medicine
(Small Animal)
2023
Oncology
2024
2023
Ophthalmology
2011
Parasitology
2024
2024
Pathology
2024
2006
Radiology
2023
2020
2008
2022
2013
2008
Theriogenology
1992