ETHICAL ARTIFICIAL INTELLIGENCE IN MEDICINEPrinciples of Responsible Clinical AI, Patient Safety, Medical Ethics, Governance, and the Future of HealthcareWhat happens when artificial intelligence enters the room where human lives are at stake?AI is transforming medicine at breathtaking speed. It can analyze scans, assist diagnosis, predict disease, personalize treatment, monitor patients, support surgery, accelerate drug discovery, and influence decisions once made entirely by clinicians.But powerful technology brings powerful responsibilities.Ethical Artificial Intelligence in Medicine explores the critical boundary between what AI can do and what it should do. It examines the ethical, clinical, and governance challenges that emerge when intelligent systems become part of patient care.Explore the principles of patient safety, informed consent, privacy, algorithmic bias, fairness, transparency, explainability, accountability, human oversight, and clinical responsibility. Examine the risks of biased data, unreliable predictions, automation bias, AI-generated errors, cybersecurity threats, and overreliance on algorithms.From diagnostic imaging and clinical decision support to surgery, emergency care, intensive care, oncology, precision medicine, predictive analytics, and generative AI, the book examines how artificial intelligence is reshaping modern healthcare-and what must be done to keep patients at the center.It also explores AI governance, regulation, validation, auditing, risk management, institutional oversight, and responsible implementation, while considering the future of the physician-patient relationship and medical professionalism.Written for physicians, surgeons, nurses, medical students, healthcare leaders, researchers, AI developers, ethicists, policymakers, and healthcare professionals, this book provides a clear framework for understanding one of medicine's greatest opportunities-and one of its greatest responsibilities.Smarter medicine is not enough.The future of healthcare must also be safer, fairer, more transparent, and profoundly human.Understand the technology. Question the algorithm. Protect the patient. Shape the future.
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