Coursera-DeepLearning.AI-AI-FOR-MEDICINE-SPECIALIZATION and coursera-ai4med

These two repositories are competitors, as both offer solutions to the assignments of the Deeplearning.AI AI for Medicine Specialization, providing alternative implementations for the same course material.

Coursera-DeepLearning.AI-AI-FOR-MEDICINE-SPECIALIZATION

Emerging

coursera-ai4med

Experimental

Maintenance 0/25

Adoption 6/25

Maturity 16/25

Community 16/25

Maintenance 0/25

Adoption 4/25

Maturity 16/25

Community 9/25

Stars: 17

Forks: 6

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: GPL-3.0

Stars: 7

Forks: 1

Downloads: —

Commits (30d): 0

Language: —

License: MIT

Stale 6m No Package No Dependents

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.

medical imaging disease diagnosis patient prognosis treatment recommendation medical NLP

About coursera-ai4med

nalbarr/coursera-ai4med

deeplearning.ai - AI for Medicine Specialization (Andrew Ng, Pranav Rajpurkar)

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