Abstract
Artificial intelligence (AI) is being used more often across numerous sectors, including healthcare. Researchers and professionals are interested in (AI) application in the healthcare industry. Different sizes, types, and specializations of healthcare organizations are becoming more interested in how (AI) might advance and support patients’ requirements and treatment, as well as cut costs and boost efficiency. Artificial intelligence is commonly employed to help in medical diagnostics. AI can analyze patients’ illness conditions and clinical data to give clinicians with more accurate diagnosis. Furthermore, Artificial intelligence (AI) can identify illness risks and provide correct information and recommendations for disease prevention. (AI) provides numerous chances to improve global health care services and pharmaceuticals. However, Artificial intelligence (AI) raises serious ethical and social issues, including bias, privacy, and employment displacement. As AI advances and becomes more common, it will be critical to address these challenges and guarantee that AI is used responsibly and ethically. This chapter investigates and examines the different applications of (AI) in the healthcare industry, as well as the obstacles and challenges associated with applying AI in healthcare.
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Durrah, O., Aldhmour, F.M., El-Maghraby, L., Chakir, A. (2024). Artificial Intelligence Applications in Healthcare. In: Chakir, A., Andry, J.F., Ullah, A., Bansal, R., Ghazouani, M. (eds) Engineering Applications of Artificial Intelligence. Synthesis Lectures on Engineering, Science, and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-50300-9_10
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