(p.488) Just like MRI or CT scanners, AI algorithms need independent validation. Commercial AI products may work in the computer laboratory but have poor function in the reading room.

(p.489) Deep concern by radiologists about AI performance needs to be a major concern by our discipline as a whole.

(p.2) In health care, AI is defined as the mimicking of human cognitive functions by computers. AI has been inspired by the functioning of biological neurons and includes the basics of sensing, recognition, and object recognition to enable machines to perform as good as or even better than humans. However, with the inherent lack of articulation and generation of insights, AI cannot replace physicians in health care.
With no universally applicable rules in health care, AI must be supplemented with physician judgment in many instances. An extensive correlation of history and clinical findings is needed for the diagnosis or monitoring...

(p.5) Applying ML concept in computational pathology, which is defined as an approach to diagnosis that incorporates multiple sources of data (e. g. pathology, radiology, clinical, molecular and laboratory operations), presents clinically actionable knowledge to doctors, investigators and patients [31]. The work culture will play a significant role to be more inclusive to allow different experts from all relent areas to work cohesively together including, IT application specialists, medical and scientific experts, data scientists, hardware and software engineers, biostatisticians, and algorithm designers.