Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/CCM.0000000000004369 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox.
Eur Radiol
December 2024
Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Objectives: We report our experience implementing an algorithm for the detection of large vessel occlusion (LVO) for suspected stroke in the emergency setting, including its performance, and offer an explanation as to why it was poorly received by radiologists.
Materials And Methods: An algorithm was deployed in the emergency room at a single tertiary care hospital for the detection of LVO on CT angiography (CTA) between September 1st-27th, 2021. A retrospective analysis of the algorithm's accuracy was performed.
Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks.
Sci Rep
December 2024
Public Health and community medicine Department, Theodor Bilharz Research Institute, Helwan University, Cairo, Egypt.
Infectious diseases significantly impact both public health and economic stability, underscoring the critical need for precise outbreak predictions to effictively mitigate their impact. This study applies advanced machine learning techniques to forecast outbreaks of Dengue, Chikungunya, and Zika, utilizing a comprehensive dataset comprising climate and socioeconomic data. Spanning the years 2007 to 2017, the dataset includes 1716 instances characterized by 27 distinct features.
View Article and Find Full Text PDFVirtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test samples.
Transl Psychiatry
December 2024
Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.
Given the heterogeneous nature of attention-deficit/hyperactivity disorder (ADHD) and the absence of established biomarkers, accurate diagnosis and effective treatment remain a challenge in clinical practice. This study investigates the predictive utility of multimodal data, including eye tracking, EEG, actigraphy, and behavioral indices, in differentiating adults with ADHD from healthy individuals. Using a support vector machine model, we analyzed independent training (n = 50) and test (n = 36) samples from two clinically controlled studies.
View Article and Find Full Text PDFThrombosis in Children: A Retrospective Study from a Single-center Database.
In Vivo
December 2024
Faculty of Medicine and Pharmacy, University of Oradea, Oradea, Romania.
Background/aim: The incidence and characteristics of pediatric thrombotic events have become increasingly recognized, due to the enhanced utilization of advanced diagnostic techniques. Pediatric thrombosis remains less frequent than in adults, often manifesting in those with underlying congenital or acquired risk factors. This study aimed to establish epidemiological data on pediatric thrombotic events in Bihor County, Romania, highlighting the challenges of diagnosis in smaller medical centers and proposing a relevant diagnostic and treatment algorithm.
View Article and Find Full Text PDFAutomating radiological measurements of the hip in children with cerebral palsy.
Bone Joint J
January 2025
Division of Informatics, Imaging & Data Sciences, The University of Manchester, Manchester, UK.
Aims: The aims of this study were to develop an automatic system capable of calculating four radiological measurements used in the diagnosis and monitoring of cerebral palsy (CP)-related hip disease, and to demonstrate that these measurements are sufficiently accurate to be used in clinical practice.
Methods: We developed a machine-learning system to automatically measure Reimer's migration percentage (RMP), acetabular index (ACI), head shaft angle (HSA), and neck shaft angle (NSA). The system automatically locates points around the femoral head and acetabulum on pelvic radiographs, and uses these to calculate measurements.
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!