FDA Digital Health and Artificial Intelligence Glossary – Educational Resource

FDA 

Digital Health and Artificial Intelligence Glossary – Educational Resource

• Artificial Intelligence and Medical Products
  • Artificial Intelligence at FDA: Publications
  • FDA Digital Health and Artificial Intelligence Glossary

This glossary is a compilation of commonly used terms in the digital health, artificial intelligence, and machine learning space and their definitions. These definitions are either directly from, or adapted from, various public sources, including consensus standard organizations and published literature.

The glossary is intended for general educational purposes. The glossary does not constitute agency guidance, policy, or recommendations. The glossary also does not constitute legally enforceable requirements, nor does it affect any requirements of the Federal Food, Drug, and Cosmetic Act or implementing regulations.

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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

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A

Artificial Intelligence (AI)

Artificial Intelligence Performance Monitoring (AI Performance Monitoring)

Artificial Intelligence System (AI System)

Assistive Artificial Intelligence (Assistive AI)

Autonomous Artificial Intelligence (Autonomous AI)

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C

Continual Machine Learning

Convolutional Neural Network (CNN)

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D

Data Card

Data Drift

Deep Learning

Digital Health Technology (DHT)

Digital Twin

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E

Ensemble Methods

Explainability

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F

Feature Engineering

Federated Learning

Foundation Models

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G

Generative Adversarial Network (GAN)

Generative Artificial Intelligence (Generative AI)

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H

Human in the Loop Machine Learning

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I

Internet of Things (IoT) Device

Interoperability

Interpretability

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L

Large Language Model (LLM)

Locked Model

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M

Machine Learning (ML)

Machine Learning Algorithm (ML Algorithm)

Machine Learning Algorithmic Bias (ML Algorithmic Bias)

Machine Learning Model (ML Model)

Model Calibration

Model Card

Model Fitting

Model Robustness

Model Weight

Multimodal

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N

Natural Language Processing (NLP)

Neural Network

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O

Overfitting

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P

Performance Metrics

Privacy Enhancing Technology

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R

Reference Standard (in Artificial Intelligence)

Reinforcement Learning

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S

Self-Supervised Machine Learning

Semi-Supervised Machine Learning

Supervised Machine Learning

Synthetic Data

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T

Test Data

Training Data

Transfer Learning

Tuning Data

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U

Underfitting

Unsupervised Machine Learning

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W

Watermarking

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Feedback: Was the Glossary useful? Let us know what you think. The FDA plans to routinely update the new Digital Health and Artificial Intelligence Glossary as appropriate.

Citation: U.S. Food and Drug Administration. (2024). September 26, 2024. Digital Health and Artificial Intelligence Glossary – Educational Resource https://www.fda.gov/science-research/artificial-intelligence-and-medical-products/fda-digital-health-and-artificial-intelligence-glossary-educational-resource