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Automated detection of traumatic bleeding in CT images using 3D U-Net# and multi-organ segmentation.
Biomed Phys Eng Express
January 2025
Chiba University Center for Frontier Medical Engineering, 1-33 Yayoi-cho, Inage-ku, Chiba, Chiba, 263-8522, JAPAN.
Traumatic injury remains a leading cause of death worldwide, with traumatic bleeding being one of its most critical and fatal consequences. The use of whole-body computed tomography (WBCT) in trauma management has rapidly expanded. However, interpreting WBCT images within the limited time available before treatment is particularly challenging for acute care physicians.
View Article and Find Full Text PDFEstablishment of critical values for AMH screening with PCOS based on restricted cubic spline plots.
Endocr Connect
January 2025
Y Liu, Department of Clinical Laboratory, Hangzhou Women's Hospital, Hangzhou, 310008, China.
Background: The aim is to develop age-specific anti-Müllerian hormone screening criteria for polycystic ovary syndrome to facilitate the early detection and diagnosis of the condition, and to subsequently evaluate the screening criteria.
Methods: A retrospective analysis was performed on patient data from Hangzhou Women's Hospital between July 2021 and August 2024. The use of restricted cubic spline analysis helped identify age-related inflection points, which were crucial for segmenting the patient population.
The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFDetectability of Al18F-NOTA-HER2-BCH PET for Nodal Metastases in Patients With HER2-Positive Breast Cancer.
Clin Nucl Med
January 2025
From the Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), NMPA Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine; Peking University Cancer Hospital and Institute, Beijing, China.
Purpose: The aim of this study was to compare Al18F-NOTA-HER2-BCH and 18F-FDG for detecting nodal metastases in patients with HER2-positive breast cancer on PET/CT.
Patients And Methods: In this retrospective study, 62 participants with HER2-positive breast cancer underwent both Al18F-NOTA-HER2-BCH and 18F-FDG PET/CT. Participants were pathologically confirmed as HER2-positive (IHC 3+ or IHC 2+ with gene amplification on FISH).
Automated mold defects classification in paintings: A comparison of machine learning and rule-based techniques.
PLoS One
January 2025
Faculty of Science and Engineering, School of Computer Science, University of Hull, Hull, United Kingdom.
Mold defects pose a significant risk to the preservation of valuable fine art paintings, typically arising from fungal growth in humid environments. This paper presents a novel approach for detecting and categorizing mold defects in fine art paintings. The technique leverages a feature extraction method called Derivative Level Thresholding to pinpoint suspicious regions within an image.
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