AI+ Healthcare
The AI+ Healthcare Course equips professionals with essential knowledge of AI's transformative role in healthcare, covering data handling, medical imaging, diagnostics, and treatment planning. Gain practical insights into AI-powered systems for personalized medicine, patient monitoring, and healthcare management. Learn ethical and regulatory frameworks, AI's role in operational efficiency, and future innovations. This AI+ Healthcare Course offers a deep dive into cutting-edge healthcare technologies. Perfect for professionals aiming to stay ahead in AI in healthcare advancements.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Basic understanding of healthcare world, no technical expertise or knowledge required.
- Readiness to think innovatively, generating novel ideas, and effectively utilizing AI tools in healthcare.
- Openness to exploring various aspects of AI in healthcare, including its implications, challenges, and opportunities.
- Strong interest and motivation to delve into the integration of AI technologies within the healthcare sector.
Recommended:
- AI+ Executive or AI+ Everyone
Target Audience:
- HealthCare Professionals
Course Objectives:
- Understand the fundamentals of artificial intelligence and its applications in the healthcare ecosystem.
- Learn data handling and AI modeling techniques, including data acquisition, management, and preprocessing for medical data.
- Explore the role of AI in medical imaging, diagnostics, predictive analytics, treatment planning, and personalized medicine.
- Examine the use of AI in patient monitoring, wearable technologies, IoT, and healthcare delivery systems.
- Analyze ethical and regulatory frameworks, data privacy issues, and future trends in AI-driven healthcare.
Course Outline:
Introduction to Artificial Intelligence (AI) in Healthcare
- Fundamentals of Artificial Intelligence
- AI in the Healthcare Ecosystem
- Ethical and Regulatory Framework
Data Handling and AI Modeling
- Data Acquisition and Management
- Preprocessing Techniques for Medical Data
- Model Development and Validation
AI in Medical Imaging
- Introduction to Medical Imaging
- AI Techniques in Imaging
- Implementation and Future Trends
AI in Diagnostics and Predictive Analytics
- AI-powered Diagnostic Systems
- Predictive Analytics in Healthcare
- Challenges and Solutions
AI in Treatment Planning and Personalized Medicine
- Customized Treatment Solutions
- Machine Learning Models in Treatment
- Case Studies and Ethics