AI Medical Compendium Journal:
Biomedical journal

Showing 1 to 10 of 14 articles

ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram.

Biomedical journal
BACKGROUND: Electrocardiogram (ECG) abnormalities have demonstrated potential as prognostic indicators of patient survival. However, the traditional statistical approach is constrained by structured data input, limiting its ability to fully leverage ...

Applications of deep learning in trauma radiology: A narrative review.

Biomedical journal
Diagnostic imaging is essential in modern trauma care for initial evaluation and identifying injuries requiring intervention. Deep learning (DL) has become mainstream in medical image analysis and has shown promising efficacy for classification, segm...

Angular super-resolution in X-ray projection radiography using deep neural network: Implementation on rotational angiography.

Biomedical journal
BACKGROUND: Rotational angiography acquires radiographs at multiple projection angles to demonstrate superimposed vasculature. However, this comes at the expense of the inherent risk of increased ionizing radiation. In this paper, building upon a suc...

A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies.

Biomedical journal
Time-lapse microscopy images generated by biological experiments have been widely used for observing target activities, such as the motion trajectories and survival states. Based on these observations, biologists can conclude experimental results or ...

Glomerular disease classification and lesion identification by machine learning.

Biomedical journal
BACKGROUND: Classification of glomerular diseases and identification of glomerular lesions require careful morphological examination by experienced nephropathologists, which is labor-intensive, time-consuming, and prone to interobserver variability. ...

Artificial neural network and logistic regression modelling to characterize COVID-19 infected patients in local areas of Iran.

Biomedical journal
BACKGROUND: COVID-19 is an infectious disease that started spreading globally at the end of 2019. Due to differences in patient characteristics and symptoms in different regions, in this research, a comparative study was performed on COVID-19 patient...

Development and validation of a deep-learning-based pediatric early warning system: A single-center study.

Biomedical journal
BACKGROUND: Early detection and prompt intervention for clinically deteriorating events are needed to improve clinical outcomes. There have been several attempts at this, including the introduction of rapid response teams (RRTs) with early warning sc...

Machine learning techniques for sequence-based prediction of viral-host interactions between SARS-CoV-2 and human proteins.

Biomedical journal
BACKGROUND: COVID-19 (Coronavirus Disease-19), a disease caused by the SARS-CoV-2 virus, has been declared as a pandemic by the World Health Organization on March 11, 2020. Over 15 million people have already been affected worldwide by COVID-19, resu...

Pandemic number five - Latest insights into the COVID-19 crisis.

Biomedical journal
About nine months after the emergence of SARS-CoV-2, this special issue of the Biomedical Journal takes stock of its evolution into a pandemic. We acquire an elaborate overview of the history and virology of SARS-CoV-2, the epidemiology of COVID-19, ...

Artificial intelligence approach fighting COVID-19 with repurposing drugs.

Biomedical journal
BACKGROUND: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the ...