Artificial Artificial Intelligence mainly uses computer techniques to make clinical diagnoses and offer treatments. AI is able to identify meaningful relationships in a data set and has been used in many clinical settings to diagnose, treat, and predict outcomes. The purpose of this specific topic is to demonstrate the potential of the various intelligent approaches in medical informative applications and technologies. The presentations for this particular topic should be original papers dealing with topics related to medical artificial intelligence, expert systems, data mining, machine learning, and image processing.
Cancer is a notifiable disease in many parts of the world. The law requires hospitals and diagnostic laboratories to report new cancers of local, regional and national / regional cancer registries within a limited time frame. The fulfillment of the reporting obligations can cost a lot of time and work.
Abbreviation is a system that automatically consolidates documents from various sources for tumors of patients, then A.i discrete data of these documents describes extracted demographics, tumor characteristics, interventions, and results of each. Artificial Intelligence (AI) leads us into the abyss of a huge social change. We are worried about what it means to humans. Of course, as a doctor I like to think about the impact of AI in medical practice. I decided to welcome the impending revolution, and I think this is a wonderful opportunity to increase productivity, which will change for the benefit of all healthcare.
