Professional Certificate in Global Health Ethics & Medical AI

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The Professional Certificate in Global Health Ethics & Medical AI is a crucial course designed to meet the growing industry demand for ethical understanding in healthcare and AI technology. This program equips learners with the essential skills necessary for career advancement in a rapidly evolving field.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

By studying global health ethics, learners will gain a comprehensive understanding of the ethical challenges faced in healthcare worldwide. They will explore the cultural, societal, and political factors that influence global health policies and practices. In addition, the course covers Medical AI, an emerging field that requires a unique ethical approach. Learners will examine the impact of AI on healthcare, including the benefits and risks associated with its use. They will also explore the ethical considerations surrounding data privacy, bias, and accountability in AI systems. By completing this course, learners will be well-positioned to contribute to the development of ethical and responsible AI technologies in healthcare. They will have a competitive edge in the job market, with the skills and knowledge necessary to succeed in this rapidly growing field.

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ๅ…ฑๆœ‰ๅฏ่ƒฝใช่จผๆ˜Žๆ›ธ

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้€ฑ2-3ๆ™‚้–“

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ๅพ…ๆฉŸๆœŸ้–“ใชใ—

ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Global Health Ethics: Foundational principles, cultural sensitivity, health disparities, social justice
โ€ข Medical AI Ethics: Bias in AI, data privacy, informed consent, accountability, transparency
โ€ข Global Health Policy & Ethics: International law, health system governance, human rights, access to healthcare
โ€ข AI in Healthcare: Telemedicine, health analytics, predictive modeling, medical imaging, robotic surgery
โ€ข Ethical AI Design: User-centered design, fairness, explainability, safety, security
โ€ข Global Health Ethics Case Studies: Real-world scenarios exploring ethical dilemmas in global health and AI
โ€ข Data Ethics & Governance: Data collection, storage, sharing, anonymization, data protection regulations
โ€ข AI for Global Health Challenges: Disaster response, infectious diseases, mental health, low-resource settings
โ€ข Stakeholder Engagement: Patient advocacy, community involvement, public-private partnerships, capacity building

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ใ„ใคใ‚ณใƒผใ‚นใ‚’้–‹ๅง‹ใงใใพใ™ใ‹๏ผŸ

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN GLOBAL HEALTH ETHICS & MEDICAL AI
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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