首页|First Affiliated Hospital of Guangzhou Medical University Reports Findings in Ar tificial Intelligence (LungPath: artificial intelligencedriven histologic patte rn recognition for improved diagnosis of earlystage invasive lung adenocarcinom a)
First Affiliated Hospital of Guangzhou Medical University Reports Findings in Ar tificial Intelligence (LungPath: artificial intelligencedriven histologic patte rn recognition for improved diagnosis of earlystage invasive lung adenocarcinom a)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Guangzhou, Peop le’s Republic of China, by NewsRx editors, research stated, “Early-stage invasiv e lung adenocarcinoma (ADC) characterized by a predominant micropapillary or sol id pattern exhibit an elevated risk of recurrence following sub-lobar resection, thus determining histological subtype of early-stage invasive ADC prior surgery is important for formulating lobectomy or sub-lobar resection. This study aims to develop a deep learning algorithm and assess its clinical capability in disti nguishing highrisk or low-risk histologic patterns in early-stage invasive ADC based on preoperative computed tomography (CT) scans.”
GuangzhouPeople’s Republic of ChinaA siaAdenocarcinomaArtificial IntelligenceCancerDiagnostics and ScreeningEmerging TechnologiesHealth and MedicineLung CancerLung Diseases and Cond itionsMachine LearningOncologyRisk and Prevention
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