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Deep learning transformations for innovating healthcare in the health sector
0
Zitationen
4
Autoren
2026
Jahr
Abstract
In this chapter, the focus is on the revolutionary applications of deep learning within the healthcare sector, where traditional methodologies are being reshaped and refined. Deep learning, an essential subset of artificial intelligence, stands as a pivotal tool, showcasing its prowess in intricate medical data analysis, image recognition, disease diagnostics, and treatment strategizing. This chapter delves into the transformative influence of deep learning technologies across diverse healthcare realms, spanning radiology, pathology, genomics, and personalized medicine. The discourse includes comprehensive insights into the efficacy enhancements, accuracy refinements, and unique perspectives facilitated by deep learning algorithms in disease identification, prognosis, and pharmaceutical advancements. Furthermore, ethical considerations, challenges, and a forward-looking perspective on integrating deep learning models into healthcare settings are elucidated, envisioning a paradigm shift in the medical landscape.
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