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    Researchers Submit Patent Application, 'Systems And Methods For Generating Patie nt Models Based On Ultrasound Images', for Approval (USPTO 20240164758)

    160-163页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Innanje, Arun (Lexington, MA, US); Planche, Benjamin (Briarwood, NY, US); Sharma, Abhishek (Boston, MA, US ); Sun, Shanhui (Lexington, MA, US); Wu, Ziyan (Lexington, MA, US); Zheng, Meng (Cambridge, MA, US), filed on November 17, 2022, was made available online on Ma y 23, 2024. The patent’s assignee is Shanghai United Imaging Intelligence Co. Ltd. (Shanghai , People’s Republic of China). News editors obtained the following quote from the background information suppli ed by the inventors: “Conventional patient modeling methods can only obtain a th ree-dimensional (3D) surface model of the patient. To enrich the information tha t may be encompassed in a patient model and make it applicable to more clinical applications, it may be desirable to model the interior anatomical structures of the patient together with the 3D surface model. Information regarding these int erior anatomical structures may be obtained through one or more of the common me dical scans such as computed tomography (CT), X-ray, magnetic resonance imaging (MRI), or ultrasound imaging. Compared to the other imaging techniques, ultrasou nd imaging may be faster and safer, have a noninvasive nature, and be less expen sive than the MRI and CT alternatives. Accordingly, it may be beneficial to obta in the information regarding a patient’s interior anatomical structures by using ultrasound imaging techniques.”
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    Patent Issued for Co-manipulation surgical system for use with surgical instrume nts for performing laparoscopic surgery while estimating hold force (USPTO 11986 165)

    163-168页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Basafa, Ehsa n (Redwood City, CA, US), Linard, Nicolas (Montrouge, FR), Noonan, David Paul (S an Francisco, CA, US), filed on December 11, 2023, was published online on May 2 1, 2024, according to news reporting originating from Alexandria, Virginia, by N ewsRx correspondents. Patent number 11986165 is assigned to Moon Surgical SAS (Paris, France). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Managing vision and access during a laparoscopi c procedure is a challenge. The surgical assistant paradigm is inherently imperf ect, as the assistant is being asked to anticipate and see with the surgeon’s ey es, without standing where the surgeon stands, and similarly to anticipate and a djust how the surgeon wants the tissue of interest exposed, throughout the proce dure. For example, during a laparoscopic procedure, one assistant may be require d to hold a retractor device to expose tissue for the surgeon, while another ass istant may be required to hold a laparoscope device to provide a field of view o f the surgical space within the patient to the surgeon during the procedure, eit her one of which may be required to hold the respective tools in an impractical position, e.g., from between the arms of the surgeon while the surgeon is active ly operating additional surgical instruments.
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    Researchers Submit Patent Application, 'Optimizing Memory Configuration In Mainf rame Computers', for Approval (USPTO 20240168874)

    168-171页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Washington, D.C., NewsRx journali sts report that a patent application by the inventors Akula, Ravinder (Bangalore , IN); Murugesan, Jeevabharathy (Bangalore, IN); Rueger, Erik (Ockenheim, DE); S zczepanik, Grzegorz Piotr (Krakow, PL), filed on November 18, 2022, was made ava ilable online on May 23, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information suppli ed by the inventors: “The present invention relates to computing technology, and particularly to optimizing memory configuration( s) in a mainframe computer.
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    Patent Issued for Robotic learning of assembly tasks using augmented reality (US PTO 11989843)

    171-174页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Schoisengeie r, Adrian (Vienna, AT), Zhou, Kai (Wiener Neudorf, AT), filed on June 22, 2022, was published online on May 21, 2024, according to news reporting originating fr om Alexandria, Virginia, by NewsRx correspondents. Patent number 11989843 is assigned to Snap Inc. (Santa Monica, California, Unite d States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Robots can be taught new skills using programmi ng by demonstration (PbD). An operator teaches a robot by physically demonstrati ng a task: the operator manually moves components (e.g., arms, gripper, physical objects) of the robot through a set of sequential configurations (e.g., positio n, orientation of the components) to demonstrate the task. Multiple sensors are disposed in the physical environment to capture the set of sequential configurat ions. However, some robots and physical objects can be too large, too heavy, too fragile, or too dangerous for the operator.
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    Patent Application Titled 'Wheel Device For Mobile Robot Capable Of Driving On R ough Terrain And Overcoming Obstacles, And Mobile Robot Including Same' Publishe d Online (USPTO 20240165991)

    174-176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 Washington, D.C., by NewsRx journalists, a patent application by the inve ntor SONG, Young Eun (Chungcheongnam-do, KR), filed on March 23, 2022, was made available online on May 23, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “ “1 Technical Field
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    Patent Application Titled 'Cell Counting Method, Machine Learning Model Construc tion Method And Recording Medium' Published Online (USPTO 20240169523)

    176-180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 Washington, D.C., by NewsRx journalists, a patent application by the inve ntors OKAMOTO, Satoshi (Kyoto, JP); TOKISUE, Shogo (Kyoto, JP), filed on March 1 0, 2022, was made available online on May 23, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “In the technical fields of pathological medicine and cell cul ture, the number of cells present in images obtained by imaging a cell mass comp osed of a plurality of cells is often used as a numerical criterion for judging a state, e.g. a developmental status, of cells or a tissue. It is a large burden on an operator to visually count a multitude of cells. For this reason, a techn ique for analyzing images and automatically counting the number of cells has bee n proposed.
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    Patent Issued for Glass and wafer inspection system and a method of use thereof (USPTO 11987884)

    180-181页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A patent by the inventors Choi, Youngj in (San Jose, CA, US), filed on June 11, 2021, was published online on May 21, 2 024, according to news reporting originating from Alexandria, Virginia, by NewsR x correspondents. Patent number 11987884 is assigned to Jnk Tech (San Jose, California, United Sta tes). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Glasses and wafers referred to hereinafter as a substrate, are coated with a variety of coatings to enhance their mechanical, c hemical, optical, electric, magnetic, or other properties. Typically, one or mor e thin films are deposited on the substrate by one of several known processes, s uch as chemical vapor deposition (CVD) is a common process for depositing thin f ilms on substrates. The deposition process is conducted in special chambers, suc h as PECVD or PVD chambers. Robots are used to handle the glass in and out of th e chambers without any human intervention. The deposition process is generally m onitored for any defects, such as chipping, break, spot/stain etc. can be detect ed with known vision systems. However, the known inspection methods have several limitations. The deposition process is prone to several kinds of defects which cannot be detected by known inspection systems. Moreover, the known inspection s ystems cannot recognize the substrate location in the process chamber and a lot of other process parameters.
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    Patent Application Titled 'Robotic System Having Shuttle' Published Online (USPT O 20240165671)

    181-184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 Washington, D.C., by NewsRx journalists, a patent application by the inve ntors Kalouche, Simon (San Francisco, CA, US); Kruempelstaedter, Kevin (Edina, M N, US), filed on November 20, 2023, was made available online on May 23, 2024. The assignee for this patent application is Nimble Robotics Inc. (San Francisco, California, United States). Reporters obtained the following quote from the background information supplied by the inventors: “The present disclosure relates to robotic systems, and more p articularly, to a system including a robot and a shuttle device for picking and/ or sorting items within fulfillment centers. “Warehouses, or e-commerce fulfillment centers, require systems that enable the efficient storage, retrieval and shipment of a large number of diverse products. Inventory is typically stored in containers and arranged on rows of shelving on either side of an aisle. Each container holds a plurality of items of one or mo re product types. The aisles provide access between the shelving for a human or robot to migrate the aisles and retrieve the desired products.
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    Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Ele ctrocardiographic Signals: A Multinational Assessment

    184-185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 me drxiv.org: “Importance: Despite the availability of disease-modifying therapies, scalable s trategies for heart failure (HF) risk stratification remain elusive. Portable de vices capable of recording single-lead electrocardiograms (ECGs) can enable larg e-scale community-based risk assessment. Objective: To evaluate an artificial in telligence (AI) algorithm to predict HF risk from noisy single-lead ECGs. Design : Multicohort study.Setting: Retrospective cohort of individuals with outpatien t ECGs in the integrated Yale New Haven Health System (YNHHS) and prospective po pulation-based cohorts of UK Biobank (UKB) and Brazilian Longitudinal Study of A dult Health (ELSA-Brasil). Participants: Individuals without HF at baseline. Exp osures: AI-ECG-defined risk of left ventricular systolic dysfunction (LVSD). Mai n Outcomes and Measures: Among individuals with ECGs, we isolated lead I ECGs an d deployed a noise-adapted AI-ECG model trained to identify LVSD. We evaluated t he association of the model probability with new-onset HF, defined as the first HF hospitalization. We compared the discrimination of AI-ECG against the pooled cohort equations to prevent HF (PCP-HF) score for new-onset HF using Harrel9s C- statistic, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). Results: There were 194,340 YNHHS patients (age 56 years [IQR, 41-69], 112,082 women [58% ]), 42,741 UKB participants (65 years [59- 71], 21,795 women [52%] ), and 13,454 ELSA-Brasil participants (56 years [41-69] , 7,348 women [55%]) with bas eline ECGs.
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