AI Medicine Glossary

Plain-language definitions for the clinical AI, medical imaging AI, and healthcare AI terms covered across AI Medicine Now.

A

  • AI Diagnostics

    AI software used to detect, classify, or flag disease findings from clinical data such as images or lab results.

  • AI Scribe

    A shorthand term for ambient AI documentation software that drafts clinical notes from a patient visit.

  • Ambient Clinical Documentation

    AI technology that listens to a patient-clinician conversation and drafts a clinical note for physician review.

B

  • Bias in Clinical AI

    Systematic differences in an AI model's accuracy across patient subgroups, often traced to unrepresentative training data.

C

E

  • Explainable AI (XAI)

    AI systems designed to make their outputs and reasoning understandable to a human clinician.

F

  • FDA Clearance (510(k))

    The most common FDA regulatory pathway used to authorize marketing of moderate-risk medical devices, including many AI diagnostic tools, in the U.S.

H

  • Human-in-the-Loop

    A design principle where a clinician reviews and can override an AI system's output before it affects care.

L

M

  • Model Drift

    The gradual decline in an AI model's accuracy as real-world data changes from what it was trained on.

P

  • Prior Authorization AI

    AI software used to prepare, submit, or process prior authorization requests to insurers.

R

  • Radiology AI

    AI software applied to radiology images, such as X-ray, CT, and MRI, to assist detection, triage, or quantification.

  • Real-World Evidence (RWE)

    Evidence about a clinical AI tool's performance drawn from routine clinical use rather than a controlled study.

S