The rapid advancement of AI transforms modern healthcare, introducing new approaches to disease detection, diagnosis, treatment planning, and patient management. In the field of pulmonary medicine, AI technologies improve the analysis of medical imaging, predicting respiratory conditions while supporting clinical decision-making with greater speed and accuracy. From early detection of lung cancer to monitoring chronic respiratory diseases, AI can enhance patient outcomes while reducing the burden on healthcare systems. However, the integration of AI into pulmonary care also presents important challenges, including concerns related to data privacy, algorithmic bias, ethics, and clinical reliability. Understanding both the opportunities and risks associated with AI may promote safe, effective, and equitable advancements in pulmonary medicine. Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine examines AI in pulmonary medicine, with a focus on specialty-specific applications, opportunities, risks, legal implications, and future directions. It explores cross-cutting themes, including ethics, data governance, liability, and global equity. This book covers topics such as medical technologies, risk management, and personalized medicine, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.
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Rahul K. Patel is a cybersecurity and information systems management expert with over 25 years of experience in high-tech, banking, and government sectors. An Adjunct Industry Associate Professor at the Illinois Institute of Technology, he is the author of AI Frameworks and Tools for Software Development and Essential Information Systems Service Management, and has published widely on AI applications, digital literacy, blockchain security, and privacy-preserving architectures. Dr. Patel holds a PhD in Management of Information Systems from Northcentral University and multiple professional cybersecurity certifications.
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Buch. Condición: Neu. Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine | Rahul K. Patel (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337377599 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 135708666
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid advancement of AI transforms modern healthcare, introducing new approaches to disease detection, diagnosis, treatment planning, and patient management. In the field of pulmonary medicine, AI technologies improve the analysis of medical imaging, predicting respiratory conditions while supporting clinical decision-making with greater speed and accuracy. From early detection of lung cancer to monitoring chronic respiratory diseases, AI can enhance patient outcomes while reducing the burden on healthcare systems. However, the integration of AI into pulmonary care also presents important challenges, including concerns related to data privacy, algorithmic bias, ethics, and clinical reliability. Understanding both the opportunities and risks associated with AI may promote safe, effective, and equitable advancements in pulmonary medicine. Opportunities, Risks, and Future Directions of AI in Pulmonary Medicine examines AI in pulmonary medicine, with a focus on specialty-specific applications, opportunities, risks, legal implications, and future directions. It explores cross-cutting themes, including ethics, data governance, liability, and global equity. This book covers topics such as medical technologies, risk management, and personalized medicine, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists. Nº de ref. del artículo: 9798337377599
Cantidad disponible: 2 disponibles
Librería: Rarewaves.com UK, London, Reino Unido
Hardback. Condición: New. Nº de ref. del artículo: LU-9798337377599
Cantidad disponible: Más de 20 disponibles