A practical AI learning guide applicable to the fields of medicine, research, and medical management

Amidst growing interest in the medical community regarding the use of artificial intelligence, Gunja Publishing has released "Practical AI for Doctors," an introductory book that introduces the basics of AI and practical examples applicable in the medical field, tailored to the perspective of medical professionals.

This is a practical guide that covers the basics and overall aspects of artificial intelligence in medicine, including machine learning, and introduces techniques applicable to medical problems to medical professionals.

The author of the book is Dr. Cha Yu-jin, a resident in the Department of Radiation Oncology at the Korea Atomic Energy Research Institute. “The foundation of this book is a blend of knowledge learned in engineering school, clinical training experience, and research findings,” she said. “To enhance its practical value, I intended to cover many cases involving diagnostic and treatment strategy decisions encountered in primary care, as well as critical care.”

Composed of five parts and fifteen chapters, this book explains various artificial intelligence and machine learning techniques for solving medical challenges of different natures in each chapter. Chapter 1 outlines the future of medicine that will be transformed by artificial intelligence and explains why medical professionals need to understand AI. Starting from Chapter 2, it introduces specific AI and machine learning techniques from the basics, and in the latter part, it broadly covers deep learning, which has recently become a major topic of discussion.

Although designed as an introductory guide for medical professionals, this book also contains advanced topics that are not light. Gunja Publishing added that readers could design a system that machine-learns medical images through examples and predicts answers for new images, and could also implement a simple optimization system for medical managers to allocate medical resources most appropriately.