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    Researcher from Centre for Clinical Ethics Reports Recent Findings in Artificial Intelligence (Naming and Diffusing the Understanding Objection in Healthcare Ar tificial Intelligence)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Toronto, Canada, by NewsRx editors, the research stated, “Informed consent is often argued to be oneof the more significant potential problems for the implementation and widespread onboa rding of artificialintelligence (AI) and machine learning in healthcare decisio n-making.”

    Researcher from Centre for Clinical Ethics Reports Recent Findings in Artificial Intelligence (Naming and Diffusing the Understanding Objection in Healthcare Ar tificial Intelligence)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Toronto, Canada, by NewsRx editors, the research stated, “Informed consent is often argued to be oneof the more significant potential problems for the implementation and widespread onboa rding of artificialintelligence (AI) and machine learning in healthcare decisio n-making.”

    Tongji Hospital Reports Findings in Kidney Cancer (Machine learning models predi ct the progression of long-term renal insufficiency in patients with renal cance r after radical nephrectomy)

    63-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Kidney Canc er is the subject of a report. According tonews reporting out of Wuhan, People’ s Republic of China, by NewsRx editors, research stated, “ChronicKidney Disease (CKD) is a common severe complication after radical nephrectomy in patients wit h renalcancer. The timely and accurate prediction of the long-term progression of renal function post-surgery iscrucial for early intervention and ultimately improving patient survival rates.”

    Tongji Hospital Reports Findings in Kidney Cancer (Machine learning models predi ct the progression of long-term renal insufficiency in patients with renal cance r after radical nephrectomy)

    63-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Kidney Canc er is the subject of a report. According tonews reporting out of Wuhan, People’ s Republic of China, by NewsRx editors, research stated, “ChronicKidney Disease (CKD) is a common severe complication after radical nephrectomy in patients wit h renalcancer. The timely and accurate prediction of the long-term progression of renal function post-surgery iscrucial for early intervention and ultimately improving patient survival rates.”

    Army Medical University Reports Findings in Esophageal Cancer (Utilizing machine learning approaches to investigate the relationship between cystatin C and seri ous complications in esophageal cancer patients after esophagectomy)

    64-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Esophageal Cancer is the subject of a report. Accordingto news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents,research stated , “The purpose of this study is to investigate the relationship between preopera tivecystatin C levels and the risk of serious postoperative complications in es ophageal cancer (EC) patients,utilizing advanced machine learning (ML) methodol ogies. We conducted an observational cohort study,involving 524 EC patients fro m December 2014 to July 2022.”

    Army Medical University Reports Findings in Esophageal Cancer (Utilizing machine learning approaches to investigate the relationship between cystatin C and seri ous complications in esophageal cancer patients after esophagectomy)

    64-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Esophageal Cancer is the subject of a report. Accordingto news reporting originating from Chongqing, People’s Republic of China, by NewsRx correspondents,research stated , “The purpose of this study is to investigate the relationship between preopera tivecystatin C levels and the risk of serious postoperative complications in es ophageal cancer (EC) patients,utilizing advanced machine learning (ML) methodol ogies. We conducted an observational cohort study,involving 524 EC patients fro m December 2014 to July 2022.”

    New Findings Reported from Aristotle University of Thessaloniki Describe Advance s in Machine Learning (Machine Learning Design of R/c Sections Revisited)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Thessaloniki, Greece , by NewsRx editors, research stated, “This paper revisits our recentwork on ra pid and accurate design of reinforced concrete (R/C) columns and bridge piers us ing ArtificialNeural Networks (ANNs). Both rectangular and circular, solid and hollow sections are treated.”

    New Findings Reported from Aristotle University of Thessaloniki Describe Advance s in Machine Learning (Machine Learning Design of R/c Sections Revisited)

    65-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Thessaloniki, Greece , by NewsRx editors, research stated, “This paper revisits our recentwork on ra pid and accurate design of reinforced concrete (R/C) columns and bridge piers us ing ArtificialNeural Networks (ANNs). Both rectangular and circular, solid and hollow sections are treated.”

    University of Electronic Science and Technology of China Reports Findings in Mac hine Learning (Enhanced phase prediction of highentropy alloys through machine learning and data augmentation)

    65-66页
    查看更多>>摘要: the broad range of elements in HEAs presents si gnificant challenges for precise experimental design andrational theoretical mo deling and simulation.”

    University of Electronic Science and Technology of China Reports Findings in Mac hine Learning (Enhanced phase prediction of highentropy alloys through machine learning and data augmentation)

    65-66页
    查看更多>>摘要: the broad range of elements in HEAs presents si gnificant challenges for precise experimental design andrational theoretical mo deling and simulation.”