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Foundations and Obstacles of Deep Learning in Healthcare
1
Zitationen
3
Autoren
2025
Jahr
Abstract
Proven results show that deep learning (DL) plays a key role in smart manufacturing and logistic supply chain management. DL was effective in the healthcare sector because of its capacity to manage vast amounts of complex data with little assistance from humans. To improve the quality of care and health for patients, physicians, and other healthcare workers, deep learning (DL) is being implemented in the current healthcare system. It was discovered that DL was useful for diagnosing illnesses, detecting acute diseases, analyzing images, finding new drugs, delivering drugs, and monitoring smart health. This chapter offers a cutting-edge analysis of the DL foundations, challenges, and applications in healthcare systems to meet multi-objective aims.
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