The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. In human medicine, AI has been extensively studied, improving the identification of thoracic abnormalities, diagnostic precision in emergencies, and the classification of complex conditions such as tuberculosis, pneumonia, and COVID-19. Deep learning-based models assist radiologists by detecting patterns, generating probability maps, and predicting outcomes like heart failure. However, AI is still supplementary to clinical expertise due to challenges such as data limitations, algorithmic biases, and the need for extensive validation. Ethical concerns and regulatory constraints also hinder full implementation. In veterinary medicine, AI is still in its early stages and is rarely used; however, it has the potential to become a valuable tool for supporting radiologists in the future. However, challenges include smaller datasets, breed variability, and limited research. Addressing these through focused research on species with less phenotypic variability (like cats) and cross-sector collaborations could advance AI in veterinary medicine. Both fields demonstrate AI’s potential to enhance diagnostics but emphasize the ongoing need for human expertise in clinical decision making. Differences in anatomy structure between the two fields must be considered for effective AI adaptation.

Sonoelastography is a rapid and non-invasive ultrasound-based technique to assess tissue elasticity. Interest in this technique’s application in veterinary medicine is progressively increasing, with preliminary reports also available to assess canine testicular parenchyma abnormalities. Since elastographic techniques are different and it is of paramount importance to standardize procedures, this work aimed to compare two different elastographic techniques, SE and 2D SWE, on the same testes and compare the data with the current literature. Thirty healthy canine testes were included, and complete B-mode, color and power Doppler examinations were performed on each one. SE was performed qualitatively through an elastogram evaluation and semiquantitatively comparing the parenchyma with peripheral skin. 2D SWE was performed and m/s measurements were taken. Each measurement was collected in the cranial, middle and caudal portions, considering the sections above and below the mediastinum separately. The healthy testes appeared to be intermediate in stiffness with differences in the various portions for SE and expressed a mean value from 1.3 m/s to 1.4 m/s for 2D SWE, consistent with the previous literature. Considering the technical specifics of the software for the two elastography methods, both of them are valuable in assessing canine testis stiffness and are potentially clinically appliable.

This study investigates the usefulness of extemporaneous cytological examination performed during imaging-guided biopsies in dogs and cats. In veterinary diagnostics, imaging techniques such as ultrasound and computed tomography are essential for identifying lesions, but they cannot distinguish between inflammatory and neoplastic processes. Biopsies are therefore required, and this study explores whether immediate cytological evaluation of tissue cores, rolled onto slides and examined under a microscope, can help determine sample adequacy and reduce the number of biopsies needed. Seventy-nine animals with soft tissue or bone masses underwent ultrasound or CT-guided biopsies, followed by extemporaneous cytology and histopathological analysis. Cellular material representative of the lesion was identified in 81.1% of cases, allowing clinicians to conclude the procedure without further sampling. The diagnostic accuracy of cytology compared to histology was 68.3%, with particularly high accuracy for lipomas, melanomas, and mast cell tumors. When excluding non-diagnostic samples due to poor preparation or lesion characteristics, the accuracy reaches 92.1%. These findings suggest that extemporaneous cytology is a useful tool for verifying sample adequacy in real time, potentially reducing procedural risks and improving diagnostic efficiency. While histology remains the gold standard, this method offers immediate feedback and may enhance clinical decision-making in veterinary interventional diagnostics.