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What is Artificial Intelligence in Medical Imaging

Chapter 14
Impacts of Information Technology on Patient Care and Empowerment
In an article titled, “Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine” published in 2018 by European Radiology Experimental reports: “one of the most promising areas of health innovation is the application of artificial intelligence (AI), primarily in medical imaging. With an irreversible increase in the amount of data and the possibility to use AI to identify findings either detectable or not by the human eye, radiology is now moving from a subjective perceptual skill to a more objective science… The higher efficiency provided by AI will allow radiologists to perform more value-added tasks, becoming more visible to patients and playing a vital role in multidisciplinary clinical teams” (Coder, Pesapane & Sardanelli, 2018).
Published in Chapter:
Doctor-Patient Social Networking to Improve Specialist Care Coordination
Jeremy S. Kagan (CardioLync, Israel)
Copyright: © 2020 |Pages: 23
DOI: 10.4018/978-1-7998-0047-7.ch014
Abstract
Effective communication and coordination among medical doctors, specialists, and other caregivers could mean the difference between life and death for patients. This chapter presents a new digital health technology paradigm based on social networking that improves care coordination and communication among medical specialists. This technology integrates data across diagnostic modalities to simplify the process of accessing information, and reporting medical interpretations and treatment recommendations. This model can help care providers improve patient outcomes by facilitating initial risk stratification and remote consults with experts, thereby reducing admissions and readmissions, and making patient care more effective. Additionally, this technology can address the lack of specialists in underserved areas, and ease accessibility for aging populations.
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