I am a pediatric cardiologist and have cared for children with heart disease for the past three decades. In addition, I have an educational background in business and finance as well as healthcare administration and global health – I gained a Masters Degree in Public Health from UCLA and taught Global Health there after I completed the program.
Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the clinical medicine and the data science domains that is uniquely balanced and pragmatic.
The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as in many medical and surgical subspecialties, with future projections of artificial intelligence use. The book also includes numerous insightful commentaries by world-renowned experts in key areas for their perspectives, along with a compendium of useful references.
Edward H. Shortliffe, MD, PhD New York City Editor, Biomedical Informatics:
“ The AI in Medicine era is upon us, after a half century of slow and steady progress that has exploded into the public’s awareness, in large part because computing and communications technology has transformed what software innovations are practical and economically feasible in routine settings.
Today, we see major investments in medical AI, both in startup companies and major corporations. Yet, for the average clinician, patient, or journalist, there is a great need to demystify this field and to understand something of the technology, its current status, and the barriers that need to be overcome if it is to reach its full potential.
In the nick of time, Dr. Anthony Chang has recognized the demand for a monograph that meets the need for an accessible source of comprehensive but nontechnical information on medical AI—its history, vocabulary, key concepts, current state, and promise for the future.
Drawing on his formal training in medicine, public health, business, data science, and biomedical informatics, Chang has written a marvelous summary of the field— one that will meet the needs of the broad and diverse audience that he has sought to address.
Although I have worked in the field for 50 years and presumably know much of what is covered in this volume, I have thoroughly enjoyed the logical and clear way in which he has addressed the key technologies and issues, often seeing connections between topics, or formulating definitions, that helped me with my own view of the field when viewed in its entirety. He brings the field together into a coherent whole, complementing it with a useful glossary and a summary of several forward-looking companies that are seeking to leverage AI in health care in innovative ways.
Any new and potentially revolutionary field needs its translators who can bridge communities, clarify terms or concepts that may be confusing to newcomers, and help to forge an energized movement that will help to assure that the potential is realized. Anthony Chang is doing this for AI in Medicine, as this volume demonstrates to its readers. It is appropriately directed to the community that wants to both understand and advance the field as we seek to improve and potentially revolutionize the way we care for patients and keep individuals healthy.”