AI-for-Medicine and coursera-ai4med

AI-for-Medicine
35
Emerging
coursera-ai4med
29
Experimental
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 19/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 9/25
Stars: 61
Forks: 22
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 7
Forks: 1
Downloads:
Commits (30d): 0
Language:
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

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.

medical-imaging clinical-diagnosis patient-prognosis treatment-planning healthcare-AI

About coursera-ai4med

nalbarr/coursera-ai4med

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

This collection of course work helps medical professionals and data scientists understand how artificial intelligence can be applied in healthcare. It takes medical data, such as radiology images and patient records, and shows how AI can be used to assist with diagnosis, predict patient outcomes, and guide treatment decisions. Healthcare researchers and practitioners interested in AI's practical applications would find this useful.

medical-diagnosis patient-prognosis healthcare-ai medical-imaging clinical-decision-support

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