Purpose: To assess the accuracy of Light Puncture Robot (LPR) as a patient-mounted robot, in positioning a sham needle under MRI guidance for abdominal percutaneous interventions.
Materials And Methods: This monocentric, prospective and non-controlled study was approved by the ethics review board. The study evaluated the accuracy of LPR V3 to achieve a virtual puncture in 20 healthy volunteers. Three trajectories were tried on each volunteer, under 3-T MRI guidance.
Results: Accuracy under 5 mm in attaining a 10 cm-deep target was reached in 72% of attempts after 2 robot motions with a median error of 4.1 mm [2.1; 5.1]. Median procedure time for one trajectory was 12.9 min [10.2; 18.0] and median installation time was 9.0 min [6.0; 13.0].
Conclusion: LPR accuracy in the deployment of a sham needle inside the MRI tunnel and its setup time are promising. Further studies need to be conducted to confirm these results before clinical trials.
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http://dx.doi.org/10.1007/s00270-018-2001-5 | DOI Listing |
Angew Chem Int Ed Engl
March 2025
Southeast University, School of Chemistry and Chemical Engineering, Moling Street, Jiangning District, 211189, Nanjing, CHINA.
Co-crystal engineering is of interest for many applications in pharmaceutical, chemistry and material fields, but rational design of co-crystals is still challenging. Although artificial intelligence has brought major changes in the decision-making process for materials design, yet limitations in generalization and mechanistic understanding remain. Herein, we sought to improve prediction of co-crystal by combining mechanistic thermodynamic modeling with machine learning.
View Article and Find Full Text PDFACS Appl Mater Interfaces
March 2025
Department of Mechanical Engineering, Chungbuk National University (CBNU), 1, Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do 28644, Republic of Korea.
Current anticounterfeiting technologies rely on deterministic processes that are easily replicable, require specialized devices for authentication, and involve complex manufacturing, resulting in high costs and limited scalability. This study presents a low-cost, mass-producible structural color-based anticounterfeiting pattern and a simple algorithm for discrimination. Nanopatterns aligned with the direction of incident light were fabricated by electrospinning, while CuO and ZnO were grown independently through a solution process.
View Article and Find Full Text PDFIndian J Otolaryngol Head Neck Surg
February 2025
Department of ORL-HNS, Army Hospital (Research & Referral), Delhi Cantt, Delhi, 110010 India.
Head and Neck squamous cell carcinoma (HNSCC) is one of the most common cancer in developing countries. Most of the patients present with advanced disease and requires rigorous treatment. Routine follow up of the patient is required to detect any recurrence which will substantially affect overall survival of the patient.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
March 2025
Department of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Objective: This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for training and testing the model, evaluating its performance, and conducting validations to explore the most suitable machine learning algorithm.
Methods: Clinical information, including demographic data, examination results, medical history, and laboratory test results, was collected from inpatients with and without osteoporosis.
This study aims to construct a prediction model for the demand for medical and daily care services of the elderly and to explore the factors that affect the demand for medical and daily care services of the elderly. In this study, a questionnaire survey on the demand for medical and daily care services of 1291 elderly was conducted using multi-stage stratified whole cluster random sampling. SPSS21.
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