Coursera-DeepLearning.AI-AI-FOR-MEDICINE-SPECIALIZATION and AI-for-Medicine
These two tools are complements, as one provides solutions to assignments from the AI for Medicine Specialization, while the other offers a summary of the same course material, allowing users to study and check their understanding in parallel.
About Coursera-DeepLearning.AI-AI-FOR-MEDICINE-SPECIALIZATION
shantanu1109/Coursera-DeepLearning.AI-AI-FOR-MEDICINE-SPECIALIZATION
This Repository Contains Solution to the Assignments of the AI for Medicine Specialization from Deeplearning.ai on Coursera Taught by Pranav Rajpurkar, Bora Uyumazturk, Amirhossein Kiani, Eddy Shyu
This project contains solutions for assignments in the AI for Medicine Specialization, helping you learn to apply machine learning to healthcare challenges. You'll work with medical images like X-rays and MRIs to diagnose diseases and segment tumors, and use patient trial data to predict survival rates and recommend treatments. It's designed for medical professionals, researchers, or data scientists looking to integrate AI into clinical practice.
About AI-for-Medicine
seungjunlee96/AI-for-Medicine
This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for-medicine)
This resource provides comprehensive notes, code examples, and assignments for applying artificial intelligence to various medical scenarios. It takes medical imaging data (like X-rays and MRI scans) or structured patient data and helps practitioners build models for diagnosis, prognosis, and treatment. Clinicians, medical researchers, and data scientists in healthcare can use this to understand and implement AI in their work.
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