[HTML][HTML] Harnessing Artificial Intelligence for Predictive Modelling in Oral Oncology: Opportunities, Challenges, and Clinical Perspectives
VP Veeraraghavan, S Daniel, AK Dasari, KR Aileni… - Oral Oncology …, 2024 - Elsevier
Artificial intelligence (AI) has emerged as a promising tool in oral oncology, particularly in
the field of prediction. This review provides a comprehensive outlook on the role of AI in …
the field of prediction. This review provides a comprehensive outlook on the role of AI in …
Deep learning classification and quantification of pejorative and non-pejorative architectures in resected hepatocellular carcinoma from digital histopathological …
A Laurent-Bellue, A Sadraoui, L Claude… - The American Journal of …, 2024 - Elsevier
Abstract (220 words) Liver resection is one of the best treatments for small hepatocellular
carcinoma, but post-resection recurrence is frequent. Biotherapies have emerged as an …
carcinoma, but post-resection recurrence is frequent. Biotherapies have emerged as an …
[HTML][HTML] Multi-organ squamous cell carcinoma classification using feature interpretation technique for explainability
Squamous cell carcinoma is the most common type of cancer that occurs in many organs of
the human body. To detect carcinoma, pathologists observe tissue samples at multiple …
the human body. To detect carcinoma, pathologists observe tissue samples at multiple …
Research on workflow recognition for liver rupture repair surgery.
Y Men, Z Zhao, W Chen, H Wu, G Zhang… - Mathematical …, 2024 - go.gale.com
Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for
cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as …
cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as …