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...
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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...
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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...
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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...
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AWCDL: Automatic weight calibration deep learning for detecting HER2 status in whole-slide breast cancer image
Available online 27 March 2025
Defining an ERBB2 (HER2/neu) gene amplification status is critical to guiding HER2-targeted therapy in breast cancer. Up to 40% of breast cancer patients are reported as having an immunohistochemistry...
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UD-TN: A comprehensive ultrasound dataset for benign and malignant thyroid nodule classification
Available online 24 March 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 work,...
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Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology
Available online 22 March 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...
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DeepSeek AI: Transforming medical AI with cost-efficiency, transparency, and privacy preservation
Available online 20 March 2025
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Assessing Quantitative Performance and Expert Review of Multiple Deep Learning-Based Frameworks for Computed Tomography-based Abdominal Organ Auto-Segmentation
Available online 19 March 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...
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We need intelligent oncology everywhere
January 2025
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From promise to practice: Harnessing artificial intelligence for breast cancer screening
January 2025
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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...
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Artificial intelligence in clinical trials of lung cancer: Current and future prospects
January 2025
Lung cancer remains a leading cause of mortality globally, with particularly high incidence rates in China. This review investigates the pivotal role of artificial intelligence (AI) in the clinical...
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Development and validation of AI delineation of the thoracic RTOG organs at risk with deep learning on multi-institutional datasets
January 2025
Accurate contouring of thoracic organs at risk (OARs) is essential for minimizing complications in radiation treatment. Manual contouring of thoracic OARs is not only time-consuming but also prone to...
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Discovery of novel EGFR and BRAF inhibitors by machine learning approach
January 2025
In the pharmaceutical industry, epidermal growth factor receptor (EGFR) and B-Raf proto-oncogene, serine/threonine kinase (BRAF) are the primary targets for targeted cancer therapy....
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