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    Heidelberg University Hospital Reports Findings in Artificial Intelligence (Vali dation of different automated segmentation models for target volume contouring i n postoperative radiotherapy for breast cancer and regional nodal irradiation)

    115-115页
    查看更多>>摘要:New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Heidelberg, Germa ny, by NewsRx journalists, research stated, "Target volume delineation is routin ely performed in postoperative radiotherapy (RT) for breast cancer patients, but it is a timeconsuming process. The aim of the present study was to validate th e quality, clinical usability and institutional-specific implementation of diffe rent auto-segmentation tools into clinical routine." The news correspondents obtained a quote from the research from Heidelberg Unive rsity Hospital, "Three different commercially available, artificial intelligence -, ESTRO-guideline-based segmentation models (M1-3) were applied to fifty consec utive reference patients who received postoperative local RT including regional nodal irradiation for breast cancer for the delineation of clinical target volum es: the residual breast, implant or chestwall, axilla levels 1 and 2, the infra- and supraclavicular regions, the interpectoral and internal mammary nodes. Obje ctive evaluation metrics of the created structures were conducted with the Dice similarity index (DICE) and the Hausdorff distance, and a manual evaluation of u sability. The resulting geometries of the segmentation models were compared to t he reference volumes for each patient and required no or only minor corrections in 72 % (M1), 64 % (M2) and 78 % (M3) of the cases. The median DICE and Hausdorff values for the resulting planning ta rget volumes were 0.87-0.88 and 2.96-3.55, respectively. Clinical usability was significantly correlated with the DICE index, with calculated cut-off values use d to define no or minor adjustments of 0.82-0.86. Right or left sided target and breathing method (deep inspiration breath hold vs. free breathing) did not impa ct the quality of the resulting structures."

    Inselspital Bern University Hospital Reports Findings in Artificial Intelligence (Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopa thy detection in patients with severe aortic stenosis)

    116-117页
    查看更多>>摘要:New research on Artificial Intelligenc e is the subject of a report. According to news originating from Bern, Switzerla nd, by NewsRx correspondents, research stated, "Transthyretin amyloid cardiomyop athy (ATTR-CM) is a frequent concomitant condition in patients with severe aorti c stenosis (AS), yet it often remains undetected. This study aims to comprehensi vely evaluate artificial intelligencebased models developed based on preprocedu ral and routinely collected data to detect ATTR-CM in patients with severe AS pl anned for transcatheter aortic valve implantation (TAVI)." Financial support for this research came from University of Bern.

    Findings on Machine Learning Detailed by Investigators at Huazhong University of Science and Technology (Optimizing Process Parameters of In-situ Laser Assisted Cutting of Glass-ceramic By Applying Hybrid Machine Learning Models)

    117-118页
    查看更多>>摘要:Researchers detail new data in Machine Learning. According to news reporting originating in Wuhan, People's Republic o f China, by NewsRx journalists, research stated, "Glass-ceramic is an advanced o ptical material. However, its high hardness and brittleness pose significant cha llenges to achieving high-quality surfaces during the machining process." Funders for this research include National Natural Science Foundation of China ( NSFC), National Key Research & Development Program of China, Progr am for HUST Academic Frontier Youth Team.

    Howard University Researcher Furthers Understanding of Machine Learning (Ensembl e Techniques for Robust Fake News Detection: Integrating Transformers, Natural L anguage Processing, and Machine Learning)

    118-119页
    查看更多>>摘要:Fresh data on artificial intelligence are presented in a new report. According to news originating from Washington, Di strict of Columbia, by NewsRx correspondents, research stated, "The proliferatio n of fake news across multiple modalities has emerged as a critical challenge in the modern information landscape, necessitating advanced detection methods." Financial supporters for this research include Nsf. The news correspondents obtained a quote from the research from Howard Universit y: "This study proposes a comprehensive framework for fake news detection integr ating text, images, and videos using machine learning and deep learning techniqu es. The research employs a dual-phased methodology, first analyzing textual data using various classifiers, then developing a multimodal approach combining BERT for text analysis and a modified CNN for visual data. Experiments on the ISOT f ake news dataset and MediaEval 2016 image verification corpus demonstrate the ef fectiveness of the proposed models. For textual data, the Random Forest classifi er achieved 99% accuracy, outperforming other algorithms."

    Researchers from University of Rennes Report New Studies and Findings in the Are a of Robotics and Automation (Qp-based Visual Servoing Under Motion Blur-free Co nstraint)

    119-119页
    查看更多>>摘要:A new study on Robotics - Robotics and Automation is now available. According to news reporting from Rennes, France, b y NewsRx journalists, research stated, "This letter proposes a QP-based visual s ervoing scheme for limiting motion blur during the achievement of a visual task. Unlike traditional image restoration approaches, we want to avoid any deconvolu tion step by keeping the image sequence acquired by the camera as sharp as possi ble." Financial support for this research came from BPI France Lichie project. The news correspondents obtained a quote from the research from the University o f Rennes, "To do so, we select the norm of the image gradient as sharpness metri c, from which we design a velocity constraint that is injected in a QP controlle r. Our system is evaluated for an Earth observation satellite." According to the news reporters, the research concluded: "Simulation and experim ental results show the effectiveness of our approach."

    Eindhoven University of Technology Reports Findings in Neural Computation (Reali zing Synthetic Active Inference Agents, Part II: Variational Message Updates)

    120-120页
    查看更多>>摘要:New research on Computation - Neural C omputation is the subject of a report. According to news reporting originating f rom Eindhoven, Netherlands, by NewsRx correspondents, research stated, "The free energy principle (FEP) describes (biological) agents as minimizing a variationa l free energy (FE) with respect to a generative model of their environment. Acti ve inference (AIF) is a corollary of the FEP that describes how agents explore a nd exploit their environment by minimizing an expected FE objective." Our news editors obtained a quote from the research from the Eindhoven Universit y of Technology, "In two related papers, we describe a scalable, epistemic appro ach to synthetic AIF by message passing on free-form Forney-style factor graphs (FFGs). A companion paper (part I of this article; Koudahl et al., 2023) introdu ces a constrained FFG (CFFG) notation that visually represents (generalized) FE objectives for AIF. This article (part II) derives message-passing algorithms th at minimize (generalized) FE objectives on a CFFG by variational calculus. A com parison between simulated Bethe and generalized FE agents illustrates how the me ssage-passing approach to synthetic AIF induces epistemic behavior on a T-maze n avigation task. Extension of the T-maze simulation to learning goal statistics a nd a multiagent bargaining setting illustrate how this approach encourages reuse of nodes and updates in alternative settings."

    New Robotics Findings Reported from Mississippi State University (Field Test and Evaluation of an Innovative Vision-guided Robotic Cotton Harvester)

    121-121页
    查看更多>>摘要:Current study results on Robotics have been published. According to news originating from Mississippi State, Mississip pi, by NewsRx correspondents, research stated, "Conventional cotton harvesters a re efficient but heavy causing soil compaction. They normally perform one harves ting pass, but since cotton bolls mature over two months, the early opened bolls must wait for later ones to be harvested, exposing their fiber to weather and d egrading fiber quality." Funders for this research include Cotton Incorporated (Cary, NC, U.S.), R. R. Fo il Plant Sci-ence Research Center at Mississippi State University.

    University of the South Pacific Reports Findings in Robotics (Robotic dog for na vigation of a rehabilitation wheelchair robot in a highly constrained environmen t)

    122-122页
    查看更多>>摘要:New research on Robotics is the subjec t of a report. According to news originating from Suva, Fiji, by NewsRx editors, the research stated, "Adaptation to technological advancements and intelligent digital tools can enable healthcare providers to overcome the challenges of thei r patient-oriented care systems and processes. One such intelligent tool is auto mated assistive robots, which can improve patient care and safety in the health sector." Our news journalists obtained a quote from the research from the University of t he South Pacific, "This paper presents an invariant set of continuous nonlinear control laws for an assistive robot and a rehabilitation wheelchair robot modele d as a new autonomous robotic dog and rehabilitation wheelchair system for navig ating a highly constrained environment. The control laws are derived from the Ly apunov-based control scheme classified under the umbrella of artificial potentia l field (APF) methods, and inherently proved stability of the new heterogeneous system. The robotic dog guides the wheelchair robot during the navigation proces s in a cluttered environment where the avoidances are from the robotic dog and t he integrated dynamic protective polygon. The wheelchair traverses the obstacle- free path traced by the dynamic polygon. The leash is flexible, and its length i s bounded, which invariably provides the protective polygon to change its intrin sic dimension. Thus, the dual-robot system has increased mobility for obstacle a voidance and passing through narrow passageways. The solution proffered herein i s only feasible in a highly constrained and isolated human environment where not hing else appears to be moving in the direction of the robotic dog and wheelchai r. The computer simulations and associated convergence graphs present the effica cy of the unique control laws for the new heterogeneous robotic system."

    Findings from Anhui University of Finance and Economics Has Provided New Data on Robotics (Environmental Regulation, Intelligent Manufacturing and Corporate Inv estment & Financing: Evidence From Industrial Robot Investment)

    123-123页
    查看更多>>摘要:Fresh data on Robotics are presented i n a new report. According to news reporting originating from Anhui, People's Rep ublic of China, by NewsRx correspondents, research stated, "Industrial robots, a s a core technology and essential tool in intelligent manufacturing, have brough t about a new transformation in industrial production patterns. China is at a cr itical juncture in its green transition and urgently needs to increase investmen ts in industrial robots." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Project of Science Research in Colleges and Universities in Anhui Province.

    University of Bergen Reports Findings in Artificial Intelligence (ChatGPT as a C linical Decision Maker for Urolithiasis: Compliance with the Current European As sociation of Urology Guidelines)

    124-125页
    查看更多>>摘要:New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Bergen, Norway, by NewsRx journalists, research stated, "Generative artificial intellig ence models are among the most promising and widely used tools used in health ca re. This review investigates GPT-4 answers to decision-making questions regardin g the diagnosis and treatment of urolithiasis across several clinical settings a nd their correspondence to the current European Association of Urology (EAU) gui delines."