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    Developed by VHIO, a novel AI-based and non-invasive diagnostic tool enables acc urate brain tumor diagnosis, outperforming current classification methods

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Developed by VHIO, a novel AI-based and non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperfor ming current classification methods Jointly developed by investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group and the Bellvitge University Hospital's Neuroradiology Un it, the Diagnosis in Susceptibility Contrast Enhancing Regions for Neuroncology (DISCERN) is an open access, deep learning tool based on the training of pattern s using artificial intelligence models from information of standard magnetic res onance imaging (MRI). Published in the journal Cell Reports Medicine*, results of a VHIO-led study demonstrate the feasibility and accuracy of DISCERN as an ena bler of accurate brain tumor diagnosis from perfusion MRI, outperforming convent ional methods.

    Balancing training data and human knowledge makes AI act more like a scientist

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training-such as the laws of physics-could make them more efficient and more re flective of the real world. However, helping the AI assess the value of differen t rules can be a tricky task.

    Researchers from Sao Paulo State University (UNESP) Report Findings in Machine Learning (Urban Tree Failure Probability Prediction Based On Dendrometric Aspects and Machine Learning Models)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Bauru, Braz il, by NewsRx correspondents, research stated, “Urban forests provide many benef its for municipalities and their residents, including air quality improvement, u rban atmosphere cooling, and pluvial flooding reduction. Monitoring the trees is one of the tasks among the several urban forest assessment procedures.”

    Alexandria University Researchers Update Current Study Findings on Machine Learn ing (Sensitivity evaluation of machine learningbased calibrated transportation mode choice models: A case study of Alexandria City, Egypt)

    4-5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 artificial in telligence have been published. According to news originating from Alexandria, E gypt, by NewsRx editors, the research stated, “Intelligent methods including Mac hine Learning (ML) techniques have been increasingly employed in transportation mode choice modeling, which is more complex than other demand models, since it has to reliably and accurately reflect a wide range of related categorical and co ntinuous variables, concerning the travelers, transportation system, and trip ch aracteristics. ML techniques can capture such complex relationships.”

    Fudan University Reports Findings in Temporal Lobe Epilepsy (Identification of f our biotypes in temporal lobe epilepsy via machine learning on brain images)

    5-6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 Central Nervous System Diseases and Conditions-Temporal Lobe Epilepsy is the subject of a report. Ac cording to news reporting out of Shanghai, People's Republic of China, by NewsRx editors, research stated, “Artificial intelligence provides an opportunity to t ry to redefine disease subtypes based on similar pathobiology. Using a machine-l earning algorithm (Subtype and Stage Inference) with cross-sectional MRI from 29 6 individuals with focal epilepsy originating from the temporal lobe (TLE) and 91 healthy controls, we show phenotypic heterogeneity in the pathophysiological p rogression of TLE.”

    Study Findings on Machine Learning Discussed by a Researcher at University of Sh arjah (Machine Learning Modeling of Wheel and Non-Wheel Path Longitudinal Cracking)

    6-7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 artificial in telligence have been published. According to news reporting originating from the University of Sharjah by NewsRx correspondents, research stated, “Roads degrade over time due to various factors such as traffic loads, environmental condition s, and the quality of materials used. Significant investments have been poured i nto road construction globally, necessitating regular evaluations and the implem entation of maintenance and rehabilitation (M&R) strategies to keep the infrastructure performing at a satisfactory level.”

    University of Barcelona Reports Findings in Machine Learning (Pulmonary vascular reactivity in growth restricted fetuses using computational modelling and machi ne learning analysis of fetal Doppler waveforms)

    7-8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 Machine Learning is the subject of a report. According to news reporting out of Barcelona, Spain, by N ewsRx editors, research stated, “The aim of this study was to investigate the pu lmonary vasculature in baseline conditions and after maternal hyperoxygenation i n growth restricted fetuses (FGR). A prospective cohort study of singleton pregn ancies including 97 FGR and 111 normally grown fetuses was carried out.”

    University of Electronic Science and Technology of China Reports Findings in Art ificial Intelligence (A review of the current status and progress in difficult a irway assessment research)

    8-9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 Intelligence is the subject of a report. According to news reporting originating in Chengdu, People's Republic of China, by NewsRx journalists, research stated, “A difficu lt airway is a situation in which an anesthesiologist with more than 5 years of experience encounters difficulty with intubation or mask ventilation. According to the 2022 American Society of Anesthesiologists Practice Guidelines for the Ma nagement of Difficult Airway, difficult airways are subdivided into seven detail ed categories.”

    University of Saint Joseph Researchers Publish New Data on Artificial Intelligen ce (Stock market prediction using artificial intelligence: A systematic review of systematic reviews)

    9-10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 artificial intell igence are discussed in a new report. According to news reporting originating fr om the University of Saint Joseph by NewsRx correspondents, research stated, “Th ere are many systematic reviews on predicting stock. However, each reveals a dif ferent portion of the hybrid AI analysis and stock prediction puzzle.”

    New Findings in Machine Learning Described from ABV Indian Institute of Informat ion Technology & Management (Dual-band Miniaturized Composite Righ t Left Handed Transmission Line Zor Antenna for Microwave Communication With Mac hine Learning ...)

    10-11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 originating from Madhya Pradesh, India, by NewsRx correspondents, research stated, “This article presents a dualband miniat urized Composite Right-Left-Handed Transmission Line (CRLH-TL) in an open-ended terminal, employing the Machine Learning (ML) technique. The CRLH-TL antenna is designed on the FR4 epoxy substrate.”