Most Cited Articles

Open access

ISSN: 2950-2616
CN: 50-1240/R73
p-ISSN: 2097-7131

Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects

Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology

Artificial intelligence in clinical trials of lung cancer: Current and future prospects

Multi-omics synergy in oncology: Unraveling the complex interplay of radiomic, genoproteomic, and pathological data

Virtual staining for pathology: Challenges, limitations and perspectives

Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence

A narrative review of the prediction of immunotherapy efficacy for treating NSCLC: An artificial intelligence perspective

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Medical multimodal large language models: A systematic review

AI dermatology: Reviewing the frontiers of skin cancer detection technologies

Redefining the future of cancer care: Intelligent Oncology unveiled

Artificial intelligence in surgical oncology: A comprehensive review from preoperative planning to postoperative care

UD-TN: A comprehensive ultrasound dataset for benign and malignant thyroid nodule classification

AWCDL: Automatic weight calibration deep learning for detecting HER2 status in whole-slide breast cancer image

Multimodal medical imaging AI for breast cancer diagnosis: A comprehensive review

Deep learning in abdominal organ segmentation: A review

Discovery of novel EGFR and BRAF inhibitors by machine learning approach

Current status and prospects of artificial intelligence in liver cancer management

Integrating multi-omic liquid biopsies and artificial intelligence: The next frontier in early cancer detection

A depth-wise separable residual neural network for PCDH8 status prediction in thyroid cancer pathological images

TSMIL: Transformer-based structured low-rank end-to-end multi-instance learning network for renal cell carcinoma classification in whole-slide images

Assessing quantitative performance and expert review of multiple deep learning-based frameworks for computed tomography-based abdominal organ auto-segmentation

Graph attention network enables multipurpose prediction of imaging mass cytometry in a hepatocellular carcinoma clinical trial

AI-based diagnosis of clear-cell renal cell carcinoma based on non-contrast CT

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