Introduction to Medical Advancements

The technological advancements made in recent decades have not only helped us better comprehend the morphology and physiology of the organs of the human body, but they have also advanced the diagnosis and, therefore, the treatment of a number of diseases in a variety of medical specialties from very early stages.

Role of Artificial Intelligence and Computer Vision

Artificial Intelligence (AI) and Computer Vision (CV) enable us to collect, process, interpret, and analyze a limitless quantity of static and dynamic medical data in real time, which improve the way each disease is characterized and the patients are chosen.

Early Diagnosis and Treatment

Many potentially fatal illnesses, such as COVID-19, pneumonia, and cancer, can be cured if diagnosed in initial stages very early on. Computer-based medical imaging techniques, such as CT scan and X-rays are useful in detecting all of these illnesses.

Biological Signals and Disease Prediction

On the other hand, various brain anomalies and heart diseases can also be anticipated using biological signals, like electroencephalography (EEG), electrocardiogram (ECG) etc. The application of machine learning makes the predictions more accurate and helps the clinician to detect appropriate ones.

Impact of Technology in Healthcare

This helps in faster recognition of disease as well as with the intervention of the technology, making it feasible to spread to remote places.

Objective of the Book

The goal of the book is to create machine learning algorithms that aid in the analysis of diverse medical data and the prediction of diseases based on the characteristics of the data.