Learn how AI is transforming diagnostics, drug discovery, and surgery, and explore its ethics, challenges, and future
Sub Category
- Data Science
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Objectives
- Explain core AI concepts in healthcare, including Augmented Intelligence and key drivers like data growth and computing power.
- Differentiate between Machine Learning techniques (Supervised vs. Unsupervised) and Deep Learning neural networks in medicine.
- Apply Natural Language Processing (NLP) concepts to extract insights from unstructured clinical data and electronic health records.
- Analyze how Convolutional Neural Networks (CNNs) and Computer Vision are revolutionizing radiology and digital pathology diagnostics.
- Evaluate AI's role in accelerating drug discovery, from target identification and virtual screening to optimizing clinical trials.
- Examine how AI enables precision medicine by tailoring oncology treatments and enhancing surgical precision with robotic systems.
- Demonstrate how predictive analytics and AI workflow tools optimize hospital operations, manage patient flow, and reduce clinician burnout.
- Assess the impact of patient-facing AI, including remote monitoring wearables and 24/7 virtual health assistants, on care delivery.
- Identify critical implementation hurdles such as data privacy risks (re-identification), interoperability (FHIR), and high costs.
- Navigate the regulatory landscape for AI medical devices (FDA pathways) and develop strategies to mitigate algorithmic bias in healthcare.
- Evaluate ethical dilemmas in AI healthcare, including the "Black Box" problem, accountability for errors, and patient informed consent.
- Explore emerging trends like Generative AI for synthetic data creation and Federated Learning for privacy-preserving collaboration.
- Define the "Augmented Clinician" concept and the importance of algorithmic literacy in the future evolving medical workforce.
Pre Requisites
- No prior experience needed
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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