AI-for-Medicine-Specialization and AI-for-Medicine

One is the official repository for the Coursera AI for Medicine Specialization, and the other is a summary and companion repository created by a student of that same specialization.

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Maintenance 0/25
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Community 19/25
Stars: 131
Forks: 79
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stars: 61
Forks: 22
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
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About AI-for-Medicine-Specialization

anmspro/AI-for-Medicine-Specialization

AI for Medicine Specialization - Coursera offered by deeplearning.ai

This specialization helps medical professionals, researchers, and data scientists understand and apply artificial intelligence in healthcare. You'll learn to analyze medical images like X-rays and MRIs for diagnosis, predict disease progression, and evaluate treatment effects. It provides practical skills to build and interpret AI models for clinical use.

medical-diagnosis prognosis medical-imaging clinical-research healthcare-data-analysis

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

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