Prostate cancer remains a significant cause of male cancer mortality in the United States, with an estimated 288,300 new cases in 2023. Accurate grading of prostate cancer is crucial for ascertaining disease severity and shaping treatment strategies. Modern deep learning techniques show promise in grading biopsies, but there is a gap in integrating these advances into clinical practice. Our web platform tackles this challenge by integrating human expertise with AI-driven grading, incorporating diverse data sources. We gathered feedback from four pathologists and one medical practitioner to assess usability and real-world alignment through a survey and the NASA TLX Usability Test. Notably, 60% of users found it easy to navigate, rating it 5.5 out of 7 for ease of understanding. Users appreciated self-explanatory information in popup tabs. For ease of use, all users favored the detailed summary tab, rating it 6.5 out of 7. While 80% felt patient demographics beyond age were unnecessary, high-resolution biopsy images were deemed vital. Acceptability was high, with all users willing to adopt the app, and some believed it could reduce workload. The NASA TLX Usability Test indicated a low–moderate perceived workload, suggesting room for improved explanations and data visualization.
前列腺癌仍是美国男性癌症死亡的重要原因，2023年预计新增病例达28.83万例。准确的前列腺癌分级对评估疾病严重程度和制定治疗方案至关重要。现代深度学习技术在活检分级方面展现出潜力，但将这些进展整合到临床实践中仍存在差距。我们的网络平台通过整合人类专业知识与人工智能驱动分级系统，并融合多源数据来应对这一挑战。我们收集了四位病理学家和一位临床医生的反馈，通过问卷调查和美国宇航局任务负荷指数可用性测试评估平台实用性与临床实践契合度。值得注意的是，60%的用户认为平台导航便捷，在7分制理解难度评分中获得5.5分。用户对弹出标签页中自解释性信息设计表示认可。在易用性方面，所有用户都青睐详细摘要标签页，给予6.5分（满分7分）。虽然80%用户认为除年龄外的患者人口统计学信息非必需，但高分辨率活检图像被普遍视为关键要素。平台接受度较高，所有用户都愿意采用该应用，部分用户认为其能减轻工作负担。美国宇航局任务负荷指数测试显示用户感知工作量处于中低水平，表明在解释说明和数据可视化方面仍有改进空间。
肿瘤(癌症)患者之家