Artificial intelligence applied to the early diagnosis and cure research of certain types of cancer

Abstract

The artificial intelligence has advanced in the last years up to arrive to the daily activities of everybody. Chatbots that attends clients and consumers questions in any web page, virtual assistants in cell phones and home devices are totally common today, self-driving vehicles are not a surprise now. In the medicine field, the artificial intelligence is taken a more relevant presence each day helping to medical centers and specialists to achieve more precise diagnosis using the most powerful information processing techniques in conjunction with big platforms and the availability of quantities of data as never before, the Big Data. In this work I will present the use of these technological advances in the cancer early diagnosis and as the way to a potential cure in the future. I will introduce to the specific technology under the artificial intelligence term called “Deep Learning” as the key factor by we can show then real cases in the early diagnosis of different types of cancer. The quick speed in that the technology, communications, and huge data availability are evolving is setting to the world, as never before, facing the possibility to arrive in the next years to a cure for one the most mortal diseases. Follow the initial introduction to the technological state of the art and a group of statistics that present the situation of cancer in the world, I’ll present a group of real cases of IA application in the early diagnoses of six different types of cancer with very hopeful results. Then, I describe how the AI is helping in the other side of the fight against cancer, the development of new drugs and the design of new clinical trials where the standard times to release a new drug to the market are around 10 to 15 years. In the last chapter I’ll propose a global platform with the objective of collect diagnosis images and laboratory data from medical centers of any country with the objective to provide data to an AI’s engine that “learn” from them and help to diagnose early and precisely a wide range of types of cancer. This proposal is not a business case, is a high-level proposal based on the technological current possibilities and some real cases that are been testing right now.