C Syrykh, M van den Brand, JN Kather… - …, 2025 - Wiley Online Library
The advent of digital pathology and the deployment of high‐throughput molecular techniques are generating an unprecedented mass of data. Thanks to advances in …
Recent statistics on lung cancer, including the steady decline of advanced diseases and the dramatically increasing detection of early-stage diseases and indeterminate pulmonary …
Simple Summary Artificial intelligence (AI) is a field that combines computer science with robust datasets to solve problems. AI in medicine uses machine learning and deep learning …
M Tagami, M Nishio, A Katsuyama-Yoshikawa… - Current Eye …, 2023 - Taylor & Francis
Purpose The purpose of this study was to develop artificial intelligence algorithms that can distinguish between orbital and conjunctival mucosa-associated lymphoid tissue (MALT) …
K Gautam, SK Yadav, K Kanhaiya… - International Journal of …, 2022 - academia.edu
This paper will help the IT team in the Manufacturing Industry to learn about the outcomes of the newly developed hyrid software development model. The hybrid model is depended on …
Chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) is characterized morphologically by numerous small lymphocytes and pale nodules composed of …
Background: Artificial intelligence in medicine is a field that is rapidly evolving. Machine learning and deep learning are used to improve disease identification and diagnosis …
Integrated clinicopathological and molecular analyses of Richter transformation of diffuse large B-cell lymphoma subtype (RT-DLBCL) cases remain limited. This study group included …