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AI in Healthcare: Comprehensive Glossary

Course: ITAI-4375: AI in Healthcare
Institution: Houston Community College
Grade Achieved: 98% (A) - MidTerm Exam

Project Overview

This repository contains a comprehensive glossary of key terms, concepts, and technologies related to Artificial Intelligence in Healthcare. It was compiled as the MidTerm Project for the ITAI-4375 course, demonstrating a deep understanding of the intersection between computer science, data analytics, and medical terminology.

Key Topics Covered

  • Machine Learning & Deep Learning: Definitions of algorithms used in medical diagnostics.
  • Natural Language Processing (NLP): Terms related to clinical text extraction and EHR analysis.
  • Computer Vision: Concepts applied to medical imaging (e.g., radiology, pathology).
  • Data Privacy & Ethics: Terminology regarding HIPAA compliance, federated learning, and AI bias.
  • Clinical Decision Support Systems (CDSS): Vocabulary related to AI-assisted clinical workflows.

Purpose

This glossary serves as a foundational reference guide for understanding how AI technologies are defined and applied within the healthcare industry.


Note: This repository serves as an academic portfolio piece demonstrating mastery of AI healthcare terminology.

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Comprehensive glossary of AI and healthcare terminology — ITAI-4375 MidTerm | Grade: 98%

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