This course is designed for beginners and intermediate level students, and no prior experience is required—just a passion for learning and a willingness to explore new concepts!
Artificial Intelligence is revolutionizing healthcare like never before!
From early diagnosis to personalized treatments, AI is paving the way for
groundbreaking advancements. This course is designed to inspire young minds,
equipping them with practical knowledge of AI and its real-world applications
in healthcare.
Students will:
- Learn foundational concepts of AI and its technologies
- Explore how AI tackles challenges in modern medicine
- Engage in hands-on projects, building simple AI tools for healthcare
- Reflect on the ethical and societal implications of AI.
By the end of this course, students will:
- Understand how AI is applied to healthcare and medicine
- Develop and implement basic AI models for healthcare scenarios
- Analyze real-world case studies to solve medical challenges
- Create a capstone project demonstrating their AI knowledge.
What you’ll learn today: 1. Define Artificial Intelligence (AI). 2. Understand AI types and categories. 3. Discover examples of AI in healthcare.
In this lesson, we will dive deeper into the meaning of Machine Learning, it's types, and it's uses in the healthcare industry. We will also understand what a decision tree is and how it helps in building AI models.
In this lesson, we learn what "Bias AI" means and how it affects the results of the models. We will also dive into the ethical and privacy challenges of AI in healthcare.
Acquiring data is easy, however we need to modify some things first before we feed it into our model. In this lecture, we will dive deeper into how we collect data and what's the use and meaning behind Data Preprocessing.
In this lesson, we will explore common AI algorithms and models in Healthcare. In Addition to that, we will dive deeper into understand how AI Models actually work!
This lesson will delve deeper into neural networks, their structure, functioning, and healthcare applications.
This lesson explores the importance of data privacy in AI applications within healthcare, key challenges, laws and regulations, and strategies to ensure ethical AI practices.
This lesson dives into the transformative role of predictive analytics in healthcare, exploring how AI uses data to forecast health outcomes and improve care delivery proactively.
This lesson delves into the groundbreaking impact of AI in drug discovery, accelerating processes, reducing costs, and creating personalized treatments
This lesson explores how AI is revolutionizing genomics, leading to breakthroughs in personalized medicine, disease prevention, and genetic research.
This lesson focuses on how AI enhances medical imaging and radiology, enabling faster, more accurate diagnostics and improved patient care.
In this lesson we will dive into how AI transformed drug discovery and helped improve its applications
This lesson explores the transformative impact of AI on emergency response systems and critical care units, highlighting its ability to save lives and improve efficiency.
This lesson dives deep into the revolutionary role of AI in transforming medical imaging and diagnostics, making healthcare more accurate, efficient, and accessible.
AI in Healthcare
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