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The case against machine vision for the control of wearable robotics: Challenges for commercial adoption.
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School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Deploying machine vision for wearable robot control faces challenges in terms of usability, reliability, privacy, and costs.
View Article and Find Full Text PDFRadiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.
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Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
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View Article and Find Full Text PDFLarge Language Models Outperform Traditional Natural Language Processing Methods in Extracting Patient-Reported Outcomes in Inflammatory Bowel Disease.
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Background And Aims: Patient-reported outcomes (PROs) are vital in assessing disease activity and treatment outcomes in inflammatory bowel disease (IBD). However, manual extraction of these PROs from the free-text of clinical notes is burdensome. We aimed to improve data curation from free-text information in the electronic health record, making it more available for research and quality improvement.
View Article and Find Full Text PDFDevelopment and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning study.
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Background: Sepsis is a significant health burden on a global scale. Timely identification and treatment of sepsis can greatly improve patient outcomes, including survival rates. However, time-consuming laboratory results are often needed for screening sepsis.
View Article and Find Full Text PDFInspired by human skin, bionic tactile sensing is effectively promoting development and innovation in many fields with its flexible and efficient perception capabilities. Optical fiber, with its ability to perceive and transmit information and its flexible characteristics, is considered a promising solution in the field of tactile bionics. In this work, one optical fiber tactile sensing system based on a flexible PDMS-embedded optical fiber ring resonator (FRR) is designed for braille recognition, and the Pound-Drever-Hall (PDH) demodulation scheme is adopted to improve the detection sensitivity.
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