Problem
Traditional radiological diagnosis of lung diseases can take several days, prolonging recovery times and impacting hospital efficiency.
Action
Developed and deployed a deep learning CNN model classifying lung radiology images into 6 disease categories. Trained in two weeks on public data (student project), achieving 75% recall.
Result
Potential reduction diagnostic duration to minutes, increasing daily diagnostics, enabling faster clinical intervention, improving patient outcomes and optimising hospital resource allocation.