{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","id":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","uuid":"cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title":"智慧的疆界 从图灵机到人工智能","normalized_title":"智慧的疆界从图灵机到人工智能","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9787111778004","isbns":["9787111778004","9787111695714"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":456,"navigation_url":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","title_url":"https://workshop.closeclaw.top/ai/title/%E6%99%BA%E6%85%A7%E7%9A%84%E7%96%86%E7%95%8C%20%E4%BB%8E%E5%9B%BE%E7%81%B5%E6%9C%BA%E5%88%B0%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb","page_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/page","search_url":"https://workshop.closeclaw.top/api/ai/books/cf76bc49-7e9b-4f42-bee8-3050a9fb9feb/search"},"page":{"printed_page":368,"pdf_page":383,"physical_index":383,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"573054653996b190c2d5085973fc1f29d11d2fb19971715da3de8ad126d4d89b"},"chapter":"内容简介","content":"在医疗方面，根据 IBM 提供的资料，沃森也有涉及。在学习过 200 本肿瘤领域的教科书、290 种医学期刊和超过 1500 万份的医学文献后，沃森已在肺癌、乳腺癌、直肠癌、结肠癌、胃癌和宫颈癌等癌症领域为医生提供诊断建议。还有一种应用形式是基于计算机视觉的，让人工智能直接进行诊断。2017年 2 月的《自然》杂志以封面文章的形式报道了斯坦福大学把人工智能和医学诊断相结合的最新成果，如图 9-6 所示。该研究团队使用卷积神经网络将129450 张皮肤损伤图片以及对应的文字标注信息作为训练集进行建模，其输出能判别的分类涵盖了 2032 种皮肤病。研究团队利用这种使用人工智能技术建立的皮肤病判别模型与 21 名皮肤病的执业医生和病理学家进行比赛，结果是在多数项目上，人类专家和人工智能判别的准确率几乎是一样的，在部分疾病类型上人工智能的判别结果甚至优于人类专家的判断。\n\n368\n\n第四部分 人机共生","previous_page":367,"next_page":369}