A few years ago, a provocative article was published by Vinod Khosla, the world-famous Silicon Valley investor, entitled "Do We Need Doctors Or Algorithms?". According to the author, in a few years, some types of healthcare professionals will be made redundant by Artificial Intelligence (AI).
As time goes by, the role of big medical data analysis is becoming a serious tool in the fight against intractable diseases that are common throughout the world. Already today, AI has learned to detect cancer with an accuracy of 95%, while in 30% of cases, doctors do not diagnose cancers with a diameter of less than 1 cm.
By combining genomics, individual patient data from electronic medical records with real data on patient behavior obtained from wearable devices and other sources that record their conditions under different conditions and at different points in time, healthcare providers can use the capabilities of precision medicine to determine the most effective approaches for treatment.
In addition to analyzing clinical trials and expanding the capabilities of doctors, the main task of engineers and scientists in the field of artificial intelligence is the introduction of transformative technology in healthcare: in silico investigations. The combination of real data and powerful computational algorithms can help evaluate new treatments. This brings enormous potential for the treatment of complex conditions.
Key points for discussion:

• The Importance of Big Data Worldwide
• The usage of Big Data in clinical practice management
• Big Data Tools in Global Innovation Research