Online/ e-LMS
Self Paced
Moderate
3 Weeks
About
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.
Program Structure
- 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.
Participant’s Eligibility
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.
Program Outcomes
- Advanced knowledge in AI applications specific to healthcare.
- Skills in managing and analyzing healthcare data effectively.
- Ability to design and implement patient-centered AI solutions.
- Leadership in digital health innovations.
- Expertise in navigating the complex landscape of healthcare AI ethics and regulations.
Fee Structure
Standard Fee: INR 6,998 USD 108
Discounted Fee: INR 3499 USD 54
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
Exam | Weightage |
---|---|
Mid Term Assignments | 50 % |
Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Chief Medical Informatics Officer
- AI Healthcare Strategist
- Clinical Data Scientist
- Healthcare AI Product Manager
- Digital Health Consultant
- AI Research Scientist in Healthcare
Job Opportunities
- Hospitals and Healthcare Systems
- Biotechnology Companies
- Healthcare IT and AI Solution Companies
- Public Health Organizations
- Academic and Research Institutions
- Healthcare Consulting Firms
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