| 摘要: |
| ［摘要］ 肿瘤病理精准诊断对指导临床治疗及判断预后至关重要，形态学是病理诊断的基石，免疫组化检测帮助病理诊断，而分子检测助力病理诊断及指导临床精准治疗。人工智能技术与病理形态学诊断不断融合，基于深度学习的人工智能使计算机自动处理病理形态并辅助精确诊断成为可能，进而使病理诊断逐渐走向智能化。该文就肿瘤病理诊断新进展进行阐述。 |
| 关键词: 肿瘤 病理 诊断 分子 人工智能 |
| DOI：10.3969/j.issn.1674-3806.2024.07.01 |
| 分类号:R 730.2 |
| 基金项目:广州市科技计划项目（编号：201904010029） |
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| Advances in pathological diagnosis of tumors |
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MEI Kaiyong1, WANG Jian2
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1.Department of Pathology, the Second Affiliated Hospital of Guangzhou Medical University, Guangdong 510260, China; 2.Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai 200032, China
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| Abstract: |
| ［Abstract］ Accurate pathological diagnosis of tumors is crucial for guiding clinical treatment and predicting prognosis. Morphology is the cornerstone of pathological diagnosis, and immunohistochemical detection assists in pathological diagnosis, and molecular detection assists in pathological diagnosis and guides precise clinical treatment. Artificial intelligence technology and pathological morphological diagnosis are constantly integrated. Deep learning-based artificial intelligence makes it possible for computers to automatically process pathological morphology and assist in accurate diagnosis, thus making pathological diagnosis gradually move towards intellectualization. In this paper, new advances in pathological diagnosis of tumors are elaborated. |
| Key words: Tumor Pathology Diagnosis Molecule Artificial intelligence |
