Machine learning for modeling the progression of Alzheimer disease dementia using clinical data: a systematic literature review

S Kumar, I Oh, S Schindler, AM Lai, PRO Payne… - JAMIA …, 2021 - academic.oup.com
Objective Alzheimer disease (AD) is the most common cause of dementia, a syndrome
characterized by cognitive impairment severe enough to interfere with activities of daily life …

Artificial intelligence in veterinary diagnostic imaging: A literature review

E Hennessey, M DiFazio… - Veterinary Radiology …, 2022 - Wiley Online Library
Artificial intelligence in veterinary medicine is an emerging field. Machine learning, a
subfield of artificial intelligence, allows computer programs to analyze large imaging …

Machine Learning Techniques for Analysing Security Practises in Electronic Health Records

BK Saraswat, A Saxena… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Electronic health statistics (EHR) security is essential because the fitness information saved
and transmitted in these data is exclusive. Suppose you want to ensure the proper safety of …

Artificial intelligence to predict the BRAF V595E mutation in canine urinary bladder urothelial carcinomas

L Küchler, C Posthaus, K Jäger, F Guscetti… - Animals, 2023 - mdpi.com
Simple Summary In canine urothelial carcinoma, the BRAF gene is frequently mutated
(V595E). To detect this mutation, urine or tissue samples are currently tested by PCR …

Ethics of using artificial intelligence (AI) in veterinary medicine

S Coghlan, T Quinn - AI & SOCIETY, 2023 - Springer
This paper provides the first comprehensive analysis of ethical issues raised by artificial
intelligence (AI) in veterinary medicine for companion animals. Veterinary medicine is a …

FasTag: Automatic text classification of unstructured medical narratives

GR Venkataraman, AL Pineda, OJ Bear Don't Walk IV… - PLoS one, 2020 - journals.plos.org
Unstructured clinical narratives are continuously being recorded as part of delivery of care in
electronic health records, and dedicated tagging staff spend considerable effort manually …

Web resource on available DNA variant tests for hereditary diseases and genetic predispositions in dogs and cats: An Update

JL Rokhsar, J Canino, K Raj, S Yuhnke, J Slutsky… - Human genetics, 2021 - Springer
Vast progress has been made in the clinical diagnosis and molecular basis of hereditary
diseases and genetic predisposition in companion animals. The purpose of this report is to …

Vetinformatics: an insight for decoding livestock systems through in silico biology

JM Kim, RK Pathak - Frontiers in Veterinary Science, 2023 - frontiersin.org
Computers have become an integral part of our daily lives, and we are dependent on them
for many things. For instance, research is almost impossible without computers. In the early …

Case distribution, sources, and breeds of dogs presenting to a veterinary behavior clinic in the United States from 1997 to 2017

KH Anderson, Y Yao, PJ Perry, JD Albright, KA Houpt - Animals, 2022 - mdpi.com
Simple Summary This study looked at the reasons why people sought help for their dog's
behavior, where those dogs were acquired by the owner, and which breeds of dogs were …

The TiHoCL panel for canine lymphoma: a feasibility study integrating functional genomics and network biology approaches for comparative oncology targeted NGS …

S Fibi-Smetana, C Inglis, D Schuster… - Frontiers in veterinary …, 2023 - frontiersin.org
Targeted next-generation sequencing (NGS) enables the identification of genomic variants
in cancer patients with high sensitivity at relatively low costs, and has thus opened the era to …