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Aim: Successful deep brain stimulation (DBS) requires precise electrode placement. However, brain shift from loss of cerebrospinal fluid or pneumocephalus still affects aim accuracy. Multidetector computed tomography (MDCT) provides absolute spatial sensitivity, and intraoperative cone-beam computed tomography (iCBCT) has become increasingly used in DBS procedures.
View Article and Find Full Text PDFAssociation of prostate-specific antigen density with prostate cancer mortality after a benign systematic prostate biopsy result.
BJU Int
January 2025
Faculty of Social Sciences (Health Sciences), Prostate Cancer Research Center, Tampere University, Tampere, Finland.
Objective: To assess the association between prostate-specific antigen (PSA) density (PSAD) and prostate cancer mortality after a benign result on systematic transrectal ultrasonography (TRUS)-guided prostate biopsy.
Patients And Methods: This retrospective study used data from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC) collected between 1996 and 2020. We identified men aged 55-71 years randomised to the screening arm with PSA ≥4.
Impact of the COVID-19 Pandemic on Cervical Cancer Screening: An International Comparative Study by INTRePID.
BJOG
January 2025
Center for Research in Primary Health Care (CINAPS), Universidad Peruana Cayetano Heredia, Lima, Peru.
A Comparative Study of ChatGPT and BingAI in Answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-Style Practice Questions: A Cross-Sectional Analysis.
Cureus
December 2024
Internal Medicine, Ross University School of Medicine, Saint Michael, BRB.
Purpose: The integration of artificial intelligence (AI) into medical education has witnessed significant progress, particularly in the domain of language models. This study focuses on assessing the performance of two notable language models, ChatGPT and BingAI Precise, in answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-style practice questions, simulating medical exam formats.
Methods: A cross-sectional study conducted in June 2023 involved assessing ChatGPT and BingAI Precise using three sets of NEET-PG practice exams, comprising 200 questions each.
Comparative study of imputation strategies to improve the sarcopenia prediction task.
Digit Health
January 2025
Department of Exercise Rehabilitation & Welfare, Gachon University, Incheon, Republic of Korea.
Objective: Sarcopenia, a condition characterized by the progressive loss of skeletal muscle mass and strength, poses significant challenges in research due to missing data. Incomplete datasets undermine the accuracy and reliability of studies, necessitating effective imputation techniques. This study conducts a comparative analysis of three advanced methods-multiple imputation by chained equations (MICE), support vector regression, and K-nearest neighbors (KNN)-to address data completeness issues in sarcopenia research.
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