Queen Mary Biomedical Engineering

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Another amazing new piece of research showing the capabilities of Data Science and AI. Using convolutional neural network (CNN) trained on dermoscopic images, this research and model has done an amazing trial in bettering efficiently of differentiating different skin lesions, aiding dermatologists and other specialists.

Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of diagnoses to dermatologists working under less artificial conditions are lacking.

Take a look at the amazing research done by scientists in Wuhan, China. They used state of the art data science to build a neural network (CNN) model to detect COVID - 19 using X-Ray scans to assist radiologists in validating their initial screening.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187882/

The code available at:
https://github.com/muhammedtalo/COVID-19

Automated detection of COVID-19 cases using deep neural networks with X-ray images The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. ...