Virtual cells in intelligent oncology
October 2025
Artificial intelligence in surgical oncology: A comprehensive review from preoperative planning to postoperative care
October 2025
While artificial intelligence (AI) has demonstrated significant potential across medical fields, its surgical applications, particularly in oncology remain largely exploratory. This review synthesizes...
A depth-wise separable residual neural network for PCDH8 status prediction in thyroid cancer pathological images
Available online 26 September 2025
Accurate prediction of protocadherin 8 (PCDH8) gene expression status from whole-slide pathological images (WSIs) is critical for thyroid cancer diagnosis and prognosis, as PCDH8 overexpression is associated...
Deep learning-based localization of preoperative parathyroid glands in secondary hyperparathyroidism patients using dual-phase unenhanced and contrast-enhanced computed tomography data
Available online 26 September 2025
Accurate preoperative localization of parathyroid glands (PGs) is crucial for patients with secondary hyperparathyroidism (sHPT) scheduled for parathyroidectomy (PTx). However, despite its importance,...
A narrative review of the prediction of immunotherapy efficacy for treating NSCLC: An artificial intelligence perspective
July 2025
Immunotherapy efficacy in non-small cell lung cancer (NSCLC) remains variable, with traditional biomarkers (programmed death-ligand 1 [PD-L1] and tumor mutational burden) limited by heterogeneity and...
A fully automated quantitative analysis method based on deep learning algorithms for immunohistochemical staining expression intensities
July 2025
This paper focuses primarily on exploring the application of deep learning techniques and image processing algorithms in immunohistochemistry analysis, specifically targeting automated quantitative...
Deep learning applications in motion management for radiotherapy
July 2025
The aim of radiotherapy (RT) is to deliver prescribed doses to tumors while sparing neighboring organs at risk. As the demand for treatment precision increases in modern RT, intrafractional motion management...
AI-driven network biology identifies SRC as a therapeutic target in metastatic pancreatic adenocarcinoma
July 2025
Pancreatic adenocarcinoma (PAAD) is notorious for its limited treatment options and dismal prognosis, underscoring an urgent need for innovative therapeutic strategies. This study leverages advanced...
Current status and prospects of artificial intelligence in liver cancer management
July 2025
Liver cancer is an extremely heterogeneous malignant tumor characterized by high morbidity and mortality rates. Despite significant advancements in cancer care, the outcomes of liver cancer patients...
Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support
July 2025
Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological...
Deep learning in abdominal organ segmentation: A review
Available online 10 July 2025
Abdominal organ segmentation is an essential and fundamental medical procedure with many clinical and research applications. There is extensive variability in the size, location, and shape of the abdominal...
Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects
April 2025
Artificial intelligence (AI) demonstrates unprecedented potential in the study of tumor drug resistance and precision therapy. With the rapid growth of multi-omics data and biomedical information, AI...
AI dermatology: Reviewing the frontiers of skin cancer detection technologies
April 2025
The rapid advancements in artificial intelligence (AI) have significantly impacted modern healthcare, particularly for skin cancer detection in the field of dermatology. Skin cancer has become a considerable...
Regulatory sandbox expansion: Exploring the leap from fintech to medical artificial intelligence
April 2025
This paper explores the expansion from fintech-based regulatory sandboxes to those that include medical artificial intelligence (AI) by examining their potential to foster innovation and accelerate...
DeepSeek AI: Transforming medical AI with cost-efficiency, transparency, and privacy preservation
April 2025
Assessing quantitative performance and expert review of multiple deep learning-based frameworks for computed tomography-based abdominal organ auto-segmentation
April 2025
Segmentation of abdominal organs in computed tomography (CT) images within clinical oncological workflows is crucial for ensuring effective treatment planning and follow-up. However, manually generated...
Virtual staining for pathology: Challenges, limitations and perspectives
April 2025
In pathological examinations, tissue must first be stained to meet specific diagnostic requirements, a meticulous process demanding significant time and expertise from specialists. With advancements...
Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology
April 2025
Computational pathology, a field at the intersection of computer science and pathology, leverages digital technology to enhance diagnostic accuracy and efficiency. With the digitization of pathology...
AWCDL: Automatic weight calibration deep learning for detecting HER2 status in whole-slide breast cancer image
April 2025
Defining an ERBB2 (HER2/neu) gene amplification status is critical to guiding human epidermal growth factor receptor 2 (HER2)-targeted therapy in breast cancer. Up to 40% of breast cancer patients are...
UD-TN: A comprehensive ultrasound dataset for benign and malignant thyroid nodule classification
April 2025
The automatic classification of thyroid nodules in ultrasound images is a critical research focus in medical imaging. However, publicly available thyroid ultrasound datasets remain scarce. In this study,...
We need intelligent oncology everywhere
January 2025
From promise to practice: Harnessing artificial intelligence for breast cancer screening
January 2025
Multi-omics synergy in oncology: Unraveling the complex interplay of radiomic, genoproteomic, and pathological data
January 2025
The advent of multi-omics approaches has revolutionized the field of oncology by enabling a comprehensive understanding of cancer biology through the integration of diverse biological data. This review...