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    Geneva University Hospitals Reports Findings in Artificial Intelligence (Fully A utomated Region-Specific Human-Perceptive- Equivalent Image Quality Assessment: A pplication to 18F-FDG PET Scans)

    48-49页
    查看更多>>摘要: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 originating from Genev a, Switzerland, by NewsRx correspondents, research stated, “We propose a fully a utomated framework to conduct a region-wise image quality assessment (IQA) on wh ole-body 18F-FDG PET scans. This framework (1) can be valuable in daily clinical image acquisition procedures to instantly recognize low-quality scans for poten tial rescanning and/or image reconstruction, and (2) can make a significant impa ct in dataset collection for the development of artificial intelligence-driven 1 8F-FDG PET analysis models by rejecting low-quality images and those presenting with artifacts, toward building clean datasets.”

    Researchers’ Work from University of Fort Hare Focuses on Artificial Intelligenc e (Artificial intelligence: An empirical survey of student and staff perspective s)

    50-50页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from the University of Fort Hare by NewsRx journalists, research stated, “There has been a recent upsurge in deba tes about the role and potential of artificial intelligence (AI) in transforming traditional learning environments globally, and more recently, these discussion s have expanded to include developing countries.”

    Findings from Michigan State University Has Provided New Data on Machine Learnin g (Efficient and Multiply Robust Risk Estimation Under General Forms of Dataset Shift)

    50-51页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from East Lansi ng, Michigan, by NewsRx correspondents, research stated, “Statistical machine le arning methods often face the challenge of limited data available from the popul ation of interest. One remedy is to leverage data from auxiliary source populati ons, which share some conditional distributions or are linked in other ways with the target domain.”

    Researchers at Hunan University Publish New Data on Robotics (Current Status, Ch allenges, and Prospects for New Types of Aerial Robots)

    51-52页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting originating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated, “New types of aerial robots (NTARs) have found extensive applications in the military, civilian conte xts, scientific research, disaster management, and various other domains.”

    Institute Paoli-Calmettes Reports Findings in Cancer [Impact of an Enhanced Recovery After Surgery (ERAS)program on the management of compli cations after laparoscopic or robotic colectomy for cancer]

    52-53页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cancer is the subject of a report. According to news reporting originating from Marseille, France, by NewsRx correspondents, research stated, “Enhanced Recovery After Surgery (ERAS) reduces postoperative complications (POCs) after colorectal surgery; however, it s impact on the management of POCs remains unclear. This study compared the diag nosis and management of POCs before and after implementing our ERAS protocol aft er laparoscopic or robotic colectomy for cancer and examined the short- and mid- term oncologic impacts.”

    Studies Conducted at Jilin University on Machine Learning Recently Reported (Com bining Categorical Boosting and Shapley Additive Explanations for Building an In terpretable Ensemble Classifier for Identifying Mineralization-related Geochemic al ...)

    53-54页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news reporting from Jilin, People’s Republic of C hina, by NewsRx journalists, research stated, “The vast majority of shallow and deep learning techniques used to identify mineralization-related geochemical ano malies are black-box algorithms that lack the ability to elucidate the individua l contributions of each element towards the model predictions. In addition, most of the anomaly identification models established by both shallow and deep learn ing algorithms lack robustness.”

    Research from Tsinghua University Has Provided New Study Findings on Robotics (A Self-Calibration Method for Robot End-Effector Using Spherical Constraints)

    54-55页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news reporting from Beijing, People’s Republic of China, b y NewsRx journalists, research stated, “A self-calibration method utilizing sphe rical constraints is proposed for calibration of robot end-effectors.”Financial supporters for this research include Infrastructure Technology And Equ ipment Engineering Research Center of China State Construction Engineering Corpo ration.

    Universita Politecnica delle Marche Reports Findings in Artificial Intelligence (Prediction of COVID-19 in-hospital mortality in older patients using artificial intelligence: a multicenter study)

    55-56页
    查看更多>>摘要: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 originating from Ancon a, Italy, by NewsRx correspondents, research stated, “Once the pandemic ended, S ARS-CoV-2 became endemic, with flare-up phases. COVID-19 disease can still have a significant clinical impact, especially in older patients with multimorbidity and frailty.”

    Studies from Case Western Reserve University Further Understanding of Machine Le arning (A Survey of Out-of-distribution Generalization for Graph Machine Learnin g From a Causal View)

    56-57页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Cleveland, Ohi o, by NewsRx editors, the research stated, “Graph machine learning (GML) has bee n successfully applied across a wide range of tasks. Nonetheless, GML faces sign ificant challenges in generalizing over out-of-distribution (OOD) data, which ra ises concerns about its wider applicability.”

    New Artificial Intelligence Data Has Been Reported by a Researcher at NOVA South eastern University (Can Artificial Intelligence Fool Residency Selection Committ ees? Analysis of Personal Statements by Real Applicants and Generative AI, a ... )

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Davie, Florida, by New sRx editors, the research stated, “The potential capabilities of generative arti ficial intelligence (AI) tools have been relatively unexplored, particularly in the realm of creating personalized statements for medical students applying to r esidencies. This study aimed to investigate the ability of generative AI, specif ically ChatGPT and Google BARD, to generate personal statements and assess wheth er faculty on residency selection committees could (1) evaluate differences betw een real and AI statements and (2) determine differences based on 13 defined and specific metrics of a personal statement.”