MantisCOVID: Rapid X-Ray Chest Radiograph and Mortality Rate Evaluation With Artificial Intelligence For COVID-19
Yasar, Y.; Karli, B. T.; Coteli, C.; Coteli, M. B.
Show abstract
AO_SCPLOWBSTRACTC_SCPLOWThe novel coronavirus pandemic has negative impacts over the health, economy and well-being of the global population. This negative effect is growing with the high spreading rate of the virus. The most critical step to prevent the spreading of the virus is pre-screening and early diagnosis of the individuals. This results in quaranteeing the patients not to effect the healthy population. COVID-19 is the name of the disease caused by the novel coronavirus. It has a high infection rate and it is urgent to diagnose many patients as we can to prevent the spread of the virus at the early stage. Rapid diagnostic tools development is urgent to save lives. MantisCOVID is a cloud-based pre-diagnosis tool to be accessed from the internet. This tool delivers a rapid screening test by analyzing the X-ray Chest Radiograph scans via Artificial Intelligence (AI) and it also evaluates the mortality rate of patients with the synthesis of the patients history with the machine learning methods. This study reveals the methods used over the platform and evaluation of the algorithms via open datasets.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An Inexpensive Smartphone-Based Device and Predictive Models for Rapid, Non-Invasive, and Point-of-Care Monitoring of Ocular and Cardiovascular Complications Related to Diabetes 93%
- Predicting the Epidemic Curve of the Coronavirus (SARS-CoV-2) Disease (COVID-19) Using Artificial Intelligence 92%
- Extensive In Silico Analysis of the Functional and Structural Consequences of SNPs in Human ARX Gene 91%
Similar papers in this journal
Similar papers in this journal
- Classification of Hyper-scale Multimodal Imaging Datasets 92%
- Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images 92%
- From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven healthcare research for low-income settings 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.