... to in the content or advertisements. 2025 Liver cancer Artificial intelligence Clinical decision support Chatbots Oncology Liver cancer represents a significant global public health issue due to its high mortality rate and frequently asymptomatic clinical presentation [ 1 ]. Notably...

... diagnosis of LNM in GC. The aim of this meta-analysis was to systematically evaluate the accuracy of artificial intelligence (AI) in detecting LNM in GC from whole-slide pathological images. Methods: As of March 24, 2024, a comprehensive search for studies on the pathological diagnosis of GC LNM AI...

...Toru Hirozane; Masahiro Hashimoto; Hasnine Haque; Yuki Arita; Tomoaki Mori; Naofumi Asano; Robert Nakayama; Takeshi Morii; Naobumi Hosogane; Morio Matsumoto; Masaya Nakamura; Masahiro Jinzaki Introduction: The integration of artificial intelligence (AI) into orthopedics has enhanced the diagnosis...

... to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. 2024 Artificial intelligence Digital pathology Hepatocellular carcinoma Outcome qFibrosis Hepatocellular carcinoma (HCC) has always been a great threat...

..., instructions or products referred to in the content or advertisements. 2023 Renal masses Imaging Artificial intelligence Diversity Kidney cancer is the sixth most common malignancy in men and the tenth most common in women [ 1 ]. 90–95% of these neoplasms are renal cell carcinoma (RCC) [ 2...

...Sai Batchu; Fan Liu; Ahmad Amireh; Joseph Waller; Muhammad Umair Background: The aim of this study is to systematically review the literature to summarize the evidence surrounding the clinical utility of artificial intelligence (AI) in the field of mammography. Databases from PubMed, IEEE Xplore...

...” OR “astrocytoma” OR “glioblastoma multiforme” OR “glioblastoma” AND “radiomics” OR “radiogenomics” OR “artificial intelligence.” Overall, seven different strings were searched in the datasets mentioned above (online supplement 1; for all online suppl. material, see www.karger.com/doi/10.1159/000515597...

.... Various predictive factors for recurrence have been advocated; however, the interactions are complex and remain to be established. We used artificial intelligence (AI) to examine predictive factors related to recurrence. Methods: The study group comprised 217 patients who underwent curative surgery...

...Tucker J. Netherton; Carlos E. Cardenas; Dong Joo Rhee; Laurence E. Court; Beth M. Beadle Background: The future of artificial intelligence (AI) heralds unprecedented change for the field of radiation oncology. Commercial vendors and academic institutions have created AI tools for radiation...

... tremendously, diagnostic and evaluative techniques have evolved, and novel therapeutic approaches have been established. Key Messages: This review provides an overview of preoperative imaging evaluations of CCA. Furthermore, relevant information about artificial intelligence (AI) in medical imaging...

... technology (IT). Artificial intelligence, radiomics, electronic health records, and electronic patient-reported outcome measures (ePROMS) are only a few of the developments enabling further progress in oncology. The promising impact of IT in oncology will only become reality through a multidisciplinary...

... to conventional CAD, a convolutional neural network (CNN) system utilizing artificial intelligence (AI) has been developing rapidly over the past 5 years. We attempted to generate a unique CNN-CAD system with an AI function that studied endoscopic images extracted from movies obtained with colonoscopes used...