AIMC Topic: Severity of Illness Index
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Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI.
Academic radiology
Sep 1, 2025
RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate models for classifying the severity of neurological impairment in acute ischemic stroke (AIS) patients using multimodal MRI data.
An AI system for continuous knee osteoarthritis severity grading: An anomaly detection inspired approach with few labels.
Artificial intelligence in medicine
Sep 1, 2025
The diagnostic accuracy and subjectivity of existing Knee Osteoarthritis (OA) ordinal grading systems has been a subject of on-going debate and concern. Existing automated solutions are trained to emulate these imperfect systems, whilst also being re...
A Systematic Review of Clinical Trial Designs and Outcome Measures in Sjögren Disease Randomized Controlled Trials.
The Journal of rheumatology
Sep 1, 2025
OBJECTIVE: To systematically review all existing Sjögren disease (SjD)-related instruments reported in clinical trials for SjD.
Risk Stratification of Dengue Cases Requiring Hospitalization.
Journal of medical virology
Aug 1, 2025
Dengue pathogenesis involves immune-driven inflammation that contributes to severe disease progression. This study assessed a machine learning model to identify a minimal, yet highly predictive biomarker set, aiming to support clinical decision-makin...
Enhancing HF-DL Model Validation for Liver Fibrosis Staging Through Sample Optimisation and Technical Integration.
Liver international : official journal of the International Association for the Study of the Liver
Aug 1, 2025
We read with great interest the article by Zhang et al. The study demonstrates that the deep learning model based on high-frequency ultrasound images significantly outperforms the low-frequency ultrasound model, FIB-4, APRI, and shear wave elastograp...
Analysis of disease severity and mortality prediction using machine learning during COVID-19.
Acta psychologica
Aug 1, 2025
This paper focuses on how machine learning (ML) algorithms and applications have been used to analyze disease severity and mortality prediction in COVID-19 research. In the past, simpler statistical and epidemiological methods were more commonly used...
Predicting Knee Osteoarthritis Severity from Radiographic Predictors: Data from the Osteoarthritis Initiative.
Annals of biomedical engineering
Aug 1, 2025
PURPOSE: In knee osteoarthritis (KOA) treatment, preventive measures to reduce its onset risk are a key factor. Among individuals with radiographically healthy knees, however, future knee joint integrity and condition cannot be predicted by clinicall...
ChatGPT-supported patient triage with voice commands in the emergency department: A prospective multicenter study.
The American journal of emergency medicine
Aug 1, 2025
BACKGROUND: Triage aims to prioritize patients according to their medical urgency by accurately evaluating their clinical conditions, managing waiting times efficiently, and improving the overall effectiveness of emergency care. This study aims to as...
Phenotypic clustering analysis of patients rejected for mitral valve interventions: implications for future transcatheter technologies.
European heart journal. Cardiovascular Imaging
Jul 31, 2025
AIMS: Although several treatment options are available for patients with severe mitral regurgitation (MR), a significant proportion of patients remain ineligible for any mitral valve (MV) intervention. We aimed to analyse the phenotypic characteristi...
Precision Symptom Phenotyping Identifies Early Clinical and Proteomic Predictors of Distinct COVID-19 Sequelae.
The Journal of infectious diseases
Jul 30, 2025
BACKGROUND: Post-COVID conditions (PCC) are difficult to characterize, diagnose, predict, and treat due to overlapping symptoms and poorly understood pathology. Identifying inflammatory profiles may improve clinical prognostication and trial endpoint...
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