AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Ducks

Showing 1 to 10 of 10 articles

Clear Filters

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Avian diseases
Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in natural reservoirs (waterfowls) is imperative. Here, we report full genomic and biologic characterization of two virulent AAvVs isolated from apparently...

Development of a sandwich ELISA for determining plasma prolactin concentration in domestic birds.

Domestic animal endocrinology
The present study was conducted to establish a sandwich ELISA for the determination of prolactin (PRL) concentrations in the plasma of domestic fowls. The assay uses a recombinant goose PRL as the reference standard, expressed in a eukaryotic system,...

Research Note: Study on the antibacterial activity of Chinese herbal medicine against Aspergillus flavus and Aspergillus fumigatus of duck origin in laying hens.

Poultry science
Aspergillus flavus and Aspergillus fumigatus were derived and identified from the ducks infected with fungi. In order to investigate the effectiveness of Chinese herbal medicines against Aspergillus flavus and Aspergillus fumigatus, in vitro antibact...

Detection of adulteration in mutton using digital images in time domain combined with deep learning algorithm.

Meat science
A novel method based on digital images in time domain combined with convolutional neural network (CNN) is proposed for discrimination and analysis of the adulterated mutton. For this, 195 sample images during the constant temperature heating process ...

Image based beef and lamb slice authentication using convolutional neural networks.

Meat science
Meat adulteration affects customers and the market. Existing meat authentication methods usually rely on special devices, and thus are limited to professional use only. Fake lamb or beef slices made from duck and fat appear in some Chinese hotpot res...

CVAE-DF: A hybrid deep learning framework for fertilization status detection of pre-incubation duck eggs based on VIS/NIR spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Unfertilized duck eggs not removed prior to incubation will deteriorate quickly, posing a risk of contaminating the normally fertilized duck eggs. Thus, detecting the fertilization status of breeding duck eggs as early as possible is a meaningful and...

Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism.

Scientific reports
Wild bird repulsion is critical in agriculture because it helps avoid agricultural food losses and mitigates the risk of avian influenza. Wild birds transmit avian influenza in poultry farms and thus cause large economic losses. In this study, we dev...

Lipidomics combined with random forest machine learning algorithms to reveal freshness markers for duck eggs during storage in different rearing systems.

Poultry science
The differences in lipids in duck eggs between the 2 rearing systems during storage have not been fully studied. Herein, we propose untargeted lipidomics combined with a random forest (RF) algorithm to identify potential marker lipids based on ultra-...

Data-driven insights into pre-slaughter mortality: Machine learning for predicting high dead on arrival in meat-type ducks.

Poultry science
Dead on arrival (DOA) refers to animals, particularly poultry, that die during the pre-slaughter phase. Elevated rates of DOA frequently signify substandard welfare conditions and might stem from multiple causes, resulting in diminished productivity ...

A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

PloS one
There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge ...