[This corrects the article DOI: 10.1371/journal.pcbi.1010263.].
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http://dx.doi.org/10.1371/journal.pcbi.1011672 | DOI Listing |
Adm Policy Ment Health
January 2025
LUMC Curium - Department of Child and Adolescent Psychiatry, Leiden University Medical Center, Post Box 15, Leiden, 2300 AA, the Netherlands.
The needs of youth at-risk and their families, facing multiple problems and serious mental health issues, exceed the expertise and possibilities of a single stakeholder (professional, organization, municipality). These youngsters require care in which the expertise of different professionals and organizations is integrated. However, combining various types of expertise to provide integrated care to youth at-risk is challenging.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Centre for Research Impact & Outcome-Chitkara College of Pharmacy, Chitkara University, Punjab, India.
Chemotherapy resistance (CR) represents one of the most important barriers to effective oncological therapy and often leads to ineffective intervention and unfavorable clinical prognosis. Emerging studies have emphasized the vital significance of extracellular RNA (exRNA) in influencing CR. This thorough assessment intends to explore the multifaceted contributions of exRNA, such as exosomal RNA, microRNAs, long non-coding RNAs, and circular RNAs, to CR in cancer.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, 139 Renmin Road, Changsha, 410011, Hunan, China.
Percutaneous transthoracic puncture of small pulmonary nodules is technically challenging. We developed a novel electromagnetic navigation puncture system for the puncture of sub-centimeter lung nodules by combining multiple deep learning models with electromagnetic and spatial localization technologies. We compared the performance of DL-EMNS and conventional CT-guided methods in percutaneous lung punctures using phantom and animal models.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound using actionable concepts as feedback to end-users, using a prospective cross-center, multi-level approach. We developed, implemented, and tested a deep-learning model for fetal growth scans using both retrospective and prospective data. We used a modified Progressive Concept Bottleneck Model with pre-established clinical concepts as explanations (feedback on image optimization and presence of anatomical landmarks) as well as segmentations (outlining anatomical landmarks).
View Article and Find Full Text PDFInt J Radiat Oncol Biol Phys
January 2025
McGill university, Montreal, Qc, Canada.
Purpose: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle insertion. Given that general anesthesia is often employed during the procedure, minimizing overall planning time is crucial. In this study, we explore the clinical feasibility and time-saving potential of artificial intelligence (AI)-driven auto-reconstruction of transperineal needles in the context of US-guided prostate BT planning.
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