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Ethical AI in Medical Practice Training Course

AI in Healthcare

DateLocationPrice
28-10-25Dubai £3800.00
28-10-25Doha £3800.00
28-10-25London £3800.00
28-10-25Los Angeles £3800.00
28-10-25Paris £3800.00
28-10-25Cairo £3800.00
28-10-25Athens £3800.00
28-10-25Toronto £3800.00
28-10-25Leeds £3800.00
28-10-25Bristol £3800.00
28-10-25Glasgow £3800.00
28-10-25Newcastle £3800.00
28-10-25Manchester £3800.00
28-10-25Oxford £3800.00
28-10-25Milan £3800.00
28-10-25Miami £3800.00
28-10-25Marbella £3800.00
28-10-25Liverpool £3800.00
28-10-25Istanbul £3800.00
28-10-25Frankfurt £3800.00
28-10-25Edinburgh £3800.00
28-10-25Brussels £3800.00

The Ethical AI in Medical Practice Training Course offered by London Medical Excellence Academy is an advanced, industry-relevant program meticulously designed for healthcare professionals, AI developers, and policymakers aiming to understand the principles of responsible AI in modern medicine. With the increasing integration of artificial intelligence into diagnostics, treatment planning, and running a hospital, understanding the ethics of healthcare data and patient privacy has become an important competency for every healthcare leader. This course outlines a framework for understanding how to use AI ethically and responsibly in the clinical environment while building trust with patients and in accordance with ethical and legal principles established by the international community.


This comprehensive training program provides a blend of theory, case studies, and best practice examples to support healthcare professionals in developing an ethical framework for the implementation of AI in health care environments. Participants will gain understanding of ethical issues associated with AI in diagnostics and predictive healthcare algorithms, as well as equitable data governance policies to protect transparent, equitable, and secure uses of medical data. By the end of this course, participants will be prepared to create and implement AI systems that improve clinical efficiency while also advancing human values, patient privacy, and digital responsibility across all facets of healthcare.

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