AIMC Topic: Retrospective Studies
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Artificial intelligence-based assessment of imaging biomarkers in epiretinal membrane surgery.
European journal of ophthalmology
Apr 27, 2025
PurposeThis study investigated the applicability of a validated AI-algorithm for analyzing different retinal biomarkers in eyes affected by epiretinal membranes (ERMs) before and after surgery.MethodsA retrospective study included 40 patients surgica...
Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.
Translational psychiatry
Apr 27, 2025
Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) remain elusive in treatment-resistant depression (TRD). Leveraging electronic medical records (EMR), this retrospective cohort study applied supervise...
Using longitudinal data and deep learning models to enhance resource allocation in home-based medical care.
International journal of medical informatics
Apr 26, 2025
BACKGROUND: The aging population is driving increased healthcare demands and costs, prompting the need for effective home healthcare programs. Accurate patient assessment is essential for optimizing resource allocation and tailoring services.
Improvement of image quality of diffusion-weighted imaging (DWI) with deep learning reconstruction of the pancreas: comparison with respiratory-gated conventional DWI.
Japanese journal of radiology
Apr 26, 2025
PURPOSE: This study aimed to evaluate the efficacy of deep learning-based reconstruction (DLR) in improving pancreatic diffusion-weighted imaging (DWI) quality.
Machine Learning to Predict Early Death Despite Pancreaticoduodenectomy.
The Journal of surgical research
Apr 26, 2025
INTRODUCTION: About 25% of patients undergoing pancreaticoduodenectomy (PD) for right-sided pancreatic ductal adenocarcinoma (PDAC) die within 1 y of diagnosis. These patients carry all the risks of significant morbidity with no survival advantage wh...
Prediction of coronal alignment in robotic-assisted total knee arthroplasty with artificial intelligence.
The Knee
Apr 25, 2025
INTRODUCTION: Robotic-assisted technologies provide the ability to avoid soft tissue release by utilizing more accurate bony cuts during total knee arthroplasty (TKA). However, the ideal limb alignment is not yet established. The aim of this study wa...
Interpretable Machine Learning for Predicting Anterior Uveitis in Axial Spondyloarthritis.
Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases
Apr 25, 2025
BACKGROUND: Axial spondyloarthritis (axSpA) is a chronic inflammatory disease primarily affecting the spine and sacroiliac joints, with anterior uveitis (AU) as a common extra-articular manifestation. Predicting AU onset in axSpA patients is challeng...
A Novel Natural Language Processing Model for Triaging Head and Neck Patient Appointments.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Apr 25, 2025
OBJECTIVE: Inaccurate patient triage contributes to suboptimal clinical capacity management and delays in patient care, which in cancer patients may significantly increase morbidity and mortality. We developed a natural language processing (NLP) mode...
A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.
The Journal of international medical research
Apr 25, 2025
ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signature for predicting clinical outcomes in patients with diffuse large B cell lymphoma.MethodsThe cancer-associated fibroblast-related module genes were id...
Male
Middle Aged
Gene Expression Profiling
Transcriptome
Retrospective Studies
Female
Biomarkers, Tumor
Lymphoma, Large B-Cell, Diffuse
Cancer-Associated Fibroblasts
Kaplan-Meier Estimate
ROC Curve
Gene Regulatory Networks
Gene Expression Regulation, Neoplastic
Nomograms
Humans
Machine Learning
Prognosis
Effect of AI-based pre-hospital health education via QR code on APAIS scores in patients with breast nodules: A retrospective study.
Breast (Edinburgh, Scotland)
Apr 24, 2025
PURPOSE: To explore the effect of AI-based pre-hospital health education via QR code on preoperative anxiety and information needs in patients with breast nodules and provide a decision-making reference for ongoing optimizing clinical workflows.
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