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    Patent Issued for Ultrasonic surgical system and method (USPTO 12108999)

    149-152页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Do nofrio, William T. (Appleton, WI, US), Houser, Kevin L. (Springboro, OH, US), St ulen, Foster B. (Johns Island, SC, US), filed on April 10, 2020, was published o nline on October 8, 2024. The assignee for this patent, patent number 12108999, is Cilag GmbH Internationa l (Zug, Switzerland). Reporters obtained the following quote from the background information supplied by the inventors: "Surgeons use ultrasonic instruments in surgery to cut and coa gulate tissue. Piezoelectric elements are electrically excited at a resonant fre quency of an ultrasonic instrument to create vibrations that are transmitted thr ough a resonator and amplified to produce a mechanical, standing wave vibration of the same frequency. An ultrasonic transmission assembly of the instrument has an elongated, transmission waveguide that transmits this vibration to an end ef fector (e.g., cutting blade) on the distal tip of the instrument. An example of an ultrasonic surgical instrument is the Harmonic Scalpel® Laparosonic® Coagulat ing Shears, available from Ethicon Endo-Surgery, Inc., Cincinnati, Ohio.

    Patent Issued for Transmitting proactive notifications based on machine learning model predictions (USPTO 12112369)

    153-156页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Capital One Services LLC (McLean, Virg inia, United States) has been issued patent number 12112369, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors. The patent's inventors are Easter, Sean (White Bear Lake, MN, US), Giska, Brad ( Richmond, VA, US), Jordan, Stephen (Burke, VA, US), Lee, Marisa (Washington, DC, US), Ricks, James (Richmond, VA, US), Virbitsky, Erik (Washington, DC, US). This patent was filed on May 17, 2021 and was published online on October 8, 202 4. From the background information supplied by the inventors, news correspondents o btained the following quote: "Machine learning involves computers learning from data to perform tasks. Machine learning algorithms are used to train machine lea rning models based on sample data, known as "training data." Once trained, machi ne learning models may be used to make predictions, decisions, or classification s relating to new observations. Machine learning algorithms may be used to train machine learning models for a wide variety of applications, including computer vision, natural language processing, financial applications, medical diagnosis, and/or information retrieval, among many other examples."

    High-dimensional confounding in causal mediation: a comparison study of double m achine learning and regularized partial correlation network

    156-157页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "In causal mediation analyses, of interest are the direct or indirect pathways f rom exposure to an outcome variable. For observation studies, massive baseline c haracteristics are collected as potential confounders to mitigate selection bias , possibly approaching or exceeding the sample size. Accordingly, flexible machi ne learning approaches are promising in filtering a subset of relevant confounde rs, along with estimation using the efficient influence function to avoid overfi tting. Among various confounding selection strategies, two attract growing atten tion. One is the popular debiased, or double machine learning (DML), and another is the penalized partial correlation via fitting a Gaussian graphical network m odel between the confounders and the response variable.