AI in Healthcare Applications and Digital Transformation
Revolutionizing Healthcare: Pioneering AI Integration and Digital Transformation
Skills you will gain:
The AI in Healthcare Applications and Digital Transformation program is crafted to provide deep insights into how AI can revolutionize healthcare through advanced diagnostics, personalized medicine, and efficient healthcare management. It prepares participants to be at the forefront of designing and implementing AI solutions that enhance patient outcomes and transform healthcare systems.
Aim: This program aims to equip PhD scholars and academicians with the expertise required to lead and innovate in the integration of artificial intelligence within healthcare. It focuses on the transformative impact of AI technologies in improving patient care, operational efficiencies, and driving digital transformation in healthcare settings.
Program Objectives:
- Understand the application of AI technologies across various aspects of healthcare.
- Develop AI solutions that improve patient outcomes and healthcare workflows.
- Navigate ethical, privacy, and regulatory challenges in healthcare AI.
- Foster digital transformation in healthcare settings through innovative AI applications.
- Lead interdisciplinary teams in deploying AI-driven healthcare projects.
What you will learn?
- Foundations of AI in Healthcare
- Overview of AI technologies in healthcare.
- Ethical considerations and regulatory compliance.
- Data privacy and security in medical AI applications.
- AI-Driven Diagnostics and Patient Care
- Implementing AI in diagnostic imaging and pathology.
- AI in genomics and personalized treatment plans.
- Robotics and AI in surgery and patient care.
- Healthcare Data Analytics
- Big data in healthcare: management and analysis.
- Predictive analytics for patient care optimization.
- Real-time health monitoring and wearable AI technologies.
- Digital Health Solutions
- Telemedicine and remote patient monitoring.
- AI in healthcare administration and fraud detection.
- Integrating AI with electronic health records (EHRs).
- Innovations and Future Trends in Healthcare AI
- Emerging AI technologies in healthcare.
- The role of AI in public health and epidemiology.
- Future challenges and opportunities in healthcare AI.
- Capstone Project
- Designing an AI healthcare solution addressing a real-world challenge.
- Collaboration with healthcare professionals and data scientists.
- Presentation of the project to a panel of experts.
Intended For :
Designed for professionals in healthcare, data science, and AI fields, as well as academicians and PhD scholars seeking to specialize in AI applications for healthcare and its digital transformation.
Career Supporting Skills