Machine Learning for Effective Diagnosis of Diseases

The Problem

It takes clinicians several years of medical training to correctly diagnose diseases. Diagnostics is a laborious and time-consuming process. Often, the demand for experts far exceeds the availability. Doctors, therefore, go through a lot of strain and in many cases also results in a delay in life-saving diagnostics. Can cutting edge technologies be used for effective diagnosis of diseases?

Solution

Deep Learning models deployed on Kranium can be trained on historical data related to diseases, diagnosis and treatments to be able to automatically diagnose diseases. Diagnosis in such cases can happen in just seconds and makes it cheaper and more accessible. Such models can also provide explanations on why a particular diagnosis was made.

The models can be trained to work with various types of data to diagnose different diseases effectively. For instance, AI models can:

• Detect lung cancer or strokes from CT scans
• Assess the risk of heart diseases from ECG and cardiac MRI images
• Identify and classify skin lesions
• Identify liver diseases
• Identify kidney diseases
• And more