Covid-19 - SmartChecker is a tool to aid the medical staff. The AI based model views X-ray images of the chest of a patient and gives probability of several diagnoses. Those include:  

1\. Atelectasis
2\. Cardiomegaly
3\. Effusion
4\. Infiltration
5\. Mass
6\. Nodule
7\. Pneumonia (including COVID19)
8\. Pneumothorax
9\. Consolidation
10\. Edema
11\. Emphysema
12\. Fibrosis
13\. Pleural thickening
14\. Hernia
15\. Healthy lungs  

The tool aims to speed up the diagnosis done by a doctor and to point out X-ray images that need to be double-checked. This tool is not to be used as a stand-alone diagnostic model.

Value Proposition

The model intends to diagnose several lung diseases with a chest X-ray. It can be used as a tool to help medical professionals speed up the diagnostic process. The model includes diagnostics of pneumonia, which can help in identifying patients with Covid-19.

Intended Use

The tool aims to speed up the diagnosis done by a doctor and to point out X-ray images that need to be double-checked. This tool is not to be used as a stand-alone diagnostic model.

Limitations

The model was tested on limited data. It shouldn’t be used as a final diagnostic tool, but a tool for helping doctors with the diagnosis.

Information on training data

The model is trained on these datasets:
1. NIH Chest X-ray Dataset
    - https://www.kaggle.com/nih-chest-xrays/data
2. Pediatric Chest X-ray Pneumonia
    - https://data.mendeley.com/datasets/rscbjbr9sj/2
3. Shenzhen Hospital X-ray Set
    - https://lhncbc.nlm.nih.gov/publication/pub9931
4. PadChest
    - https://arxiv.org/abs/1901.07441

Model performance metrics

The model's performance is 0.93 F1-score if given one frontal chest X-ray for detecting whether a person has a condition or not.

Additional Media

Additional Media

Model History

Model available on Arterys.

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