Course Name
Artificial Intelligence in Healthcare and Medicine
Schedule
April 15, 2026 - April 24, 2026
Schedule via Zoom:
April 15, 17, 22 & 24, 2026
Wednesday and Fridays
1:00 pm – 5:00 pm
Early Eagle Rate:
Php 12,000
Valid Until:
April 02, 2026
Description
Artificial Intelligence in Health provides an applied overview of how (AI) is transforming the fields of healthcare and medicine. Participants will explore how machine learning, deep learning, and data-driven methodologies are revolutionizing medical diagnostics, treatment personalization, and medical imaging analysis. The course features hands-on exercises and case studies that simulate real-world healthcare challenges.
Who should attend
Health Professionals
Healthcare Administrators and Managers
Medical and Health Informatics Professionals
IT Professionals Working in Healthcare
Policy Makers
Upon completion of this module, learners will be able to:
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Explain core artificial intelligence (AI) concepts relevant to healthcare, including machine learning, natural language processing, and computer vision.
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Analyze healthcare datasets using appropriate tools and techniques, and construct predictive models to support data-driven healthcare decisions.
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Design and implement AI-based solutions for applications such as clinical decision support, medical imaging analysis, and population health management.
Course Outline:
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Introduction to AI in Health
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Healthcare Data Fundamentals
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Predictive Analytics
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Deep Learning for Medical Imaging
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Natural Language Processing (NLP) in Healthcare
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Decision Support and Expert Systems in Health
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AI in Public Health
Mr. Christian Pulmano is an educator and technology innovator passionate about leveraging digital transformation to address real-world challenges. He currently serves as an Assistant Professor at the Department of Information Systems and Computer Science of the Ateneo de Manila University –Loyola Schools, where he integrates academic rigor with applied technology research.
He earned his Bachelor of Science in Management Information Systems with a Specialization in Business Intelligence and Master of Science in Computer Science from the Ateneo de Manila University, where he is also currently pursuing his Doctor of Science in Computer Science.
Mr. Pulmano heads the Ateneo Blockchain Laboratory, leading research on blockchain technology applications, and has extensive experience in health research and development—bridging innovation, data science, and technology for social impact.
