Abstract
We are witnessing a paradigm shift in healthcare from a standard treatment model to a model that takes into account individual variability of response to treatment (namely, precision medicine). The objective of precision medicine is to provide the best available care to each individual based on stratification of patients according to their phenotypes or biological profiles. Such personalized medical care designed to benefit patients requires the acquisition of clinical information from various sources such as imaging, pathology, laboratory tests, and genomic and proteomic data to optimize treatment. In general, such clinical information is extracted and measured from quantitative biomarkers that act as substitutes for the presence or severity of a disease such as blood pressure, heart rate, and other measurements.
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Brag, J. (2020). Artificial Intelligence in Medical Imaging. In: Nordlinger, B., Villani, C., Rus, D. (eds) Healthcare and Artificial Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-32161-1_14
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DOI: https://doi.org/10.1007/978-3-030-32161-1_14
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