Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/TP.0000000000003929 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.
RMD Open
December 2024
Department of Gastroenterology, Infectious Diseases and Rheumatology (incl. Nutrition Medicine), Charite - Universitatsmedizin Berlin, Berlin, Germany.
Purpose: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Methods: This retrospective multicentre study included conventional pelvic radiographs of four different patient cohorts focusing on axial spondyloarthritis collected at university and community hospitals. The first cohort, which consisted of 1483 radiographs, was split into training (n=1261) and validation (n=222) sets.
A Respiratory Signal Monitoring Method Based on Dual-Pathway Deep Learning Networks in Image-Guided Robotic-Assisted Intervention System.
Int J Med Robot
December 2024
School of Automation, Nanjing University of Information Science and Technology, Nanjing, China.
Background: Percutaneous puncture procedures, guided by image-guided robotic-assisted intervention (IGRI) systems, are susceptible to disruptions in patients' respiratory rhythm due to factors such as pain and psychological distress.
Methods: We developed an IGRI system with a coded structured light camera and a binocular camera. Our system incorporates dual-pathway deep learning networks, combining convolutional long short-term memory (ConvLSTM) and point long short-term memory (PointLSTM) modules for real-time respiratory signal monitoring.
Classification and risk assessment of ovarian-adnexal lesions using parametric and radiomic analysis of co-registered ultrasound-photoacoustic tomographic images.
Photoacoustics
February 2025
Biomedical Engineering Department, Washington University in St Louis, United States.
Ovarian-adnexal lesions are conventionally assessed with ultrasound (US) under the guidance of the Ovarian-Adnexal Reporting and Data System (O-RADS). However, the low specificity of O-RADS results in many unnecessary surgeries. Here, we use co-registered US and photoacoustic tomography (PAT) to improve the diagnostic accuracy of O-RADS.
View Article and Find Full Text PDFData-driven CSF biomarker profiling: imaging and clinical outcomes in a cohort at risk of Alzheimer's disease.
Alzheimers Res Ther
December 2024
University of Pompeu Fabra (UPF), Barcelona, Spain.
Background: Cerebrospinal fluid (CSF) biomarkers of synaptic dysfunction, neuroinflammation, and glial response, complementing Alzheimer's disease (AD) core biomarkers, have improved the pathophysiological characterization of the disease. Here, we tested the hypothesis that the co-expression of multiple CSF biomarkers will help the identification of AD-like phenotypes when biomarker positivity thresholds are not met yet.
Methods: Two hundred and seventy cognitively unimpaired adults with family history (FH) of sporadic AD (mean age = 60.
Immune checkpoint inhibitors-associated vasculitis: a heterogeneous condition with possible severe disease course.
Rheumatology (Oxford)
December 2024
AP-HP, Université Paris Saclay, department of internal medicine and clinical immunology, Bicêtre Hospital, Le Kremlin Bicêtre, France.
Objective: To describe presentation, treatment and outcome of immune checkpoint inhibitor (ICI) associated-vasculitis in cancer patients in a multicentre study.
Methods: Thanks to the ImmunoCancer International Registry (ICIR), a multidisciplinary network focused on the research of the immune related adverse events related to cancer immunotherapies, patients presenting with a clinical and/or radiological suspicion of vasculitis, and histological evidence of vasculitis after being exposed to ICIs were retrospectively identified.
Results: Twenty eight cases were identified in the ICIR registry.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!