A research on prediction of bat-borne disease infection through segmentation using diffusion-weighted MR imaging in deep-machine learning approach

Innovative applications of artificial intelligence in zoonotic disease management

“…They can detect subtle changes in tissues, organs, or cells, which may indicate the presence of a zoonotic disease [ 82 ]. Early detection allows for timely treatment and containment strategies, reducing the risk of transmission and minimizing its impact on public health [ 83 ]. Research studies have explored the use of AI algorithms and DL architectures, such as ResNet50, EfficientNetB3, EfficientNetB7, and EfficientNet-B0, for the early diagnosis of specific zoonotic diseases, such as monkeypox [ 32 , 33 ].…”