[This corrects the article DOI: 10.1371/journal.pone.0202916.].
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Med Oral Patol Oral Cir Bucal
January 2025
15, Trauma Centre, District Hospital Neemuch Madhya Pradesh - 458441, India
Background: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is crucial for effective management and prevention of oral cancer. Recent advancements in artificial intelligence technologies indicates its potential to assist in clinical decision-making. Hence, this study was carried out with the aim to evaluate and compare the diagnostic accuracy of ChatGPT 3.
View Article and Find Full Text PDFMethods
January 2025
School of Computer Science and Engineering, Central South University, Changsha 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China.
Exploring the associations between microbes and drugs offers valuable insights into their underlying mechanisms. Traditional wet lab experiments, while reliable, are often time-consuming and labor-intensive, making computational approaches an attractive alternative. Existing similarity-based machine learning models for predicting microbe-drug associations typically rely on integrated similarities as input, neglecting the unique contributions of individual similarities, which can compromise predictive accuracy.
View Article and Find Full Text PDFContraception
January 2025
Department of Obstetrics and Gynecology, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239.
Objective: To determine if willingness to use and concern with using hormonal contraception (HC) is associated with knowledge about HC.
Study Design: We conducted an online cross-sectional survey of self-identified women, US residents 18 and older using Amazon Mechanical Turk and ResearchMatch.org.
J Diabetes Sci Technol
January 2025
Division of Endocrinology, Diabetes & Metabolism, Weill Cornell Medicine, New York, NY, USA.
In an article in the , Backfish and coauthors examined the dose accuracy and reliability of the Tempo Pen and Tempo Smart Button connected insulin pen system. This study sponsored by Eli Lilly and Company found that this system met the International Organization for Standardization 11608-1:2014 requirements for dose accuracy at a range of doses, as well as the data transfer requirements after all injections. While these results are very encouraging, they were based on simulated human factors data while data from a human factors validation study where individuals successfully dialed and administered correct doses was not reported.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Satellite Application Division, Korea Aerospace Research Institute (KARI), Daejeon 34133, Republic of Korea.
For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed. However, time-series SAR data often contain noise and variability introduced by system and environmental factors, requiring mitigation. Additionally, the stability of SAR signals is preserved when calibration accounts for temporal and environmental variations.
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