Successful deployment of an Artificial Intelligence solution for primary diagnosis of prostate biopsies in clinical practice

Muhammad Aslam, Alistair Heath
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Abstract

In order to evaluate the feasibility of artificial intelligence within the setting of prostate histopathology, 3975 slides from 860 patients were digitally scanned and supplied to the IBEX-Artificial Intelligence (AI) system before evaluation by histopathology consultants with recommendations from the AI. Data comparing reporting with and without AI assistance were analysed along with accuracy of diagnosis for the AI. Request rates for additional immunohistochemistry from consultants in cases of diagnostic uncertainty dropped from 8.7 % to 4.5 %. Qualitative reporting confidence increased with AI assistance and valued the highlighting of the most suspicious areas within a biopsy. Positive and negative predictive values for the AI were 0.994 and 0.995 when using the consultants’ diagnosis as the true value. AI shows significant potential as an assistant for histopathologists in the field of cancer diagnosis.
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在临床实践中成功部署用于前列腺活检初级诊断的人工智能解决方案
为了评估人工智能在前列腺组织病理学背景下的可行性,我们对860例患者的3975张切片进行了数字扫描,并将其提供给ibex -人工智能(AI)系统,然后由组织病理学顾问根据AI的建议进行评估。分析了在有和没有人工智能帮助的情况下报告的比较数据以及人工智能诊断的准确性。在诊断不确定的情况下,咨询师要求进行额外免疫组织化学的比率从8.7%下降到4.5%。在人工智能的帮助下,定性报告的可信度增加,并重视活检中最可疑区域的突出。以咨询师诊断为真值时,AI阳性预测值为0.994,阴性预测值为0.995。作为组织病理学家在癌症诊断领域的助手,人工智能显示出巨大的潜力。
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Computational pathology for nephropathology Molecular pathological analysis in routine diagnostic Successful deployment of an Artificial Intelligence solution for primary diagnosis of prostate biopsies in clinical practice What happened in Digital and Computational Pathology at the European Congress of Pathology, Basel, 2022? Deep-learning-based interpretability and the ExaMode project in histopathology image analysis
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