I would say Prof Shahsuvaryan , it is more about automation rather than AI . Machines have vision (wide spectrum and resolution ), they have precision (nano scale) and have extremely sensitive sensors , yet a well knowledgeable person can only operate /read/control/work with it .
I do respect all : difference between Ophthalmologist vs optometrist ...
Difference between a design engineer vs a technician
This is fine Journal that covers the topic of this thread!
Artificial Intelligence in Medicine!
Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, human biology, and health care.
Particular attention is given to:
• AI-based clinical decision making • Medical knowledge engineering • Knowledge-based and agent-based systems • Computational intelligence in bio- and clinical medicine • Intelligent medical information systems • AI in medical education • Intelligent devices and instruments • Automated reasoning and metareasoning in medicine • Methodological, philosophical, ethical, and social issues of AI in medicine...
Artificial intelligence in medicine is long overdue. AI greatest contribution will be in holistic diagnosis of the patient. AI will also include the environmental (residence, work etc) , toxicology and dietary impact on health of the patient. Also it will not be biased toward business opportunity in exploiting the patient unless it is programmed to do so. But AI must go in pair with advanced development of diagnosis tools. Modern medicine is too dependent on x-rays and magnetic scans that are intrusive. Human body is such a vast, dynamic and complicated system that it is beyond human comprehension to grasp its inner working and its relationship with the environment. From my personal point of view, I found modern medicine too primitive, mechanized and engrossed in business mentality to a point that patient is treated as merchandise. Most readers think AI in medicine means automated diagnoses but it is more than that. It will be constantly learning on its own from its own sensors, diagnosis tools, books and information collected globally. It will be a very complicated system that will rely on large scale supercomputer like U.S. Titan etc. AI in medicine will be a very interesting and rewarding field to study. It will be like building a satellite/probe in NASA. It takes five years of planning, another five years of building, another five years of preparation time. Another five to 10 years of delivering it to a destination. So by the time one gets a useful feedback/results from this work, it will take at least twenty years of life.
This question definitely raises a very interesting issue. Research in this field will have immense potential for future applications in various fields of medicine.