Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management-Current Trends and Future Perspectives.
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management-Current Trends and Future Perspectives.
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DOI：
10.3390/diagnostics11020354
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发表时间：
2021-02-20
期刊：
影响因子：
--
通讯作者：
Ferro M
中科院分区：
文献类型：
--
作者：
Tătaru OS;Vartolomei MD;Rassweiler JJ;Virgil O;Lucarelli G;Porpiglia F;Amparore D;Manfredi M;Carrieri G;Falagario U;Terracciano D;de Cobelli O;Busetto GM;Del Giudice F;Ferro M
人工智能（AI）是计算机科学的一个领域，旨在构建智能设备，执行目前需要人类智能的任务。通过机器学习（ML），深度学习（DL）模型教会计算机通过实例学习，这是人类自然会做的事情。人工智能正在彻底改变医疗保健。人工智能正在高度辅助数字病理学，以帮助研究人员分析更大的数据集，并提供更快、更准确的前列腺癌病变诊断。当应用于诊断成像时，人工智能在前列腺病变的检测以及在患者生存和治疗反应方面的预测方面显示出极好的准确性。来自前列腺肿瘤基因组的大量数据需要机器学习算法提供快速、可靠和准确的计算能力。放射治疗是前列腺癌治疗的重要组成部分，通常很难预测其对患者的毒性。人工智能未来可能在预测患者对治疗副作用的反应方面发挥潜在作用。这些技术可以让医生更好地了解如何计划放射治疗。手术机器人的能力扩展到更多的自主任务，将使它们能够使用来自手术领域的信息，识别问题并实施适当的行动，而无需人工干预。
Artificial intelligence (AI) is the field of computer science that aims to build smart devices performing tasks that currently require human intelligence. Through machine learning (ML), the deep learning (DL) model is teaching computers to learn by example, something that human beings are doing naturally. AI is revolutionizing healthcare. Digital pathology is becoming highly assisted by AI to help researchers in analyzing larger data sets and providing faster and more accurate diagnoses of prostate cancer lesions. When applied to diagnostic imaging, AI has shown excellent accuracy in the detection of prostate lesions as well as in the prediction of patient outcomes in terms of survival and treatment response. The enormous quantity of data coming from the prostate tumor genome requires fast, reliable and accurate computing power provided by machine learning algorithms. Radiotherapy is an essential part of the treatment of prostate cancer and it is often difficult to predict its toxicity for the patients. Artificial intelligence could have a future potential role in predicting how a patient will react to the therapy side effects. These technologies could provide doctors with better insights on how to plan radiotherapy treatment. The extension of the capabilities of surgical robots for more autonomous tasks will allow them to use information from the surgical field, recognize issues and implement the proper actions without the need for human intervention.
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DOI：
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发表时间：
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期刊：
Virchows Archiv : an international journal of pathology
影响因子：
--
作者：
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