ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
European Medical Journal

AI Model Boosts Pulmonary Nodule Diagnosis

AI improves pulmonary nodule diagnosis on CT scans, enhancing accuracy, consistency, and clinical decision-making in ...
European Medical Journal

Artificial Intelligence Enhances Brain Tumour Diagnosis From MRI

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Communications of the ACM

Beyond LLMs: A Post-Transformer World Emerges

The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
2UrbanGirls on MSN

Teaching machines to see: How AI is transforming computer vision and deep learning research

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...