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AI Use Case for Healthcare – Fix Measurement Hallucinations in X-Ray Reports

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Use case "Fix Measurement Hallucinations in..." and related
5 use cases
AI Use Case in 🩺Health

Fix Measurement Hallucinations in X-Ray Reports

Sources: 🐦 Tweet by @pranavrajpurkar 🌐 arxiv.org 🌐 cvpr.thecvf.com +1 more
Helps: Radiologists Data Scientists Statistical Analysts +3 more
AI Features: Code Generation
3 months ago
AI Use Case in 🩺Health

Diagnose and Prescribe Medical Conditions Autonomously to Reduce Workforce Burden

Sources: 🐦 Tweet by @glfceo
Helps: Emergency Medicine Physicians Radiologists Cardiologists +5 more
4 months ago
AI Use Case in 🩺Health

Automate Radiology Reports with Key Findings Detection

Sources: 🐦 Tweet by @pranavrajpurkar
Helps: Radiologists Neurologists Clinical Nurses
AI Features: Text Generation
3 months ago
AI Use Case in 🩺Health

Draft Radiological Findings and Reports

Sources: 🐦 Tweet by @pranavrajpurkar
Helps: Radiologists
AI Features: Summarization Question Answering +1 more
3 months ago
AI Use Case in 🩺Health

Analyze Medical Data and Histories to Streamline Diagnosis

Sources: 🐦 Tweet by @fabianstelzer 🐦 Tweet by @zakkohane
Helps: Radiologists Radiologic Technologists Cardiologists +4 more
AI Features: Logical Reasoning Question Answering
4 months ago
AI Use Case in 🩺 Healthcare

Fix Measurement Hallucinations in X-Ray Reports

Radiologists use a modular AI platform (FactCheXcker) to validate and update quantitative measurements in chest X-ray reports. Through its query-code-update pipeline, the system cuts measurement hallucinations by 135%, ensuring clinical reliability.
Helps: Radiologists Data Scientists Statistical Analysts DBAs Document Specialists Editors
AI Features: Code Generation
Jun 9, 2025

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Sources (4)

“Excited to share our work to be presented at CVPR...”

🐦 Tweet by @pranavrajpurkar • Jun 9, 2025

“FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models”

🌐 arxiv.org • Jun 9, 2025

https://arxiv.org/abs/2411.18672

“Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models”

🌐 cvpr.thecvf.com • Jun 9, 2025

https://cvpr.thecvf.com/virtual/2025/poster/33537

“GitHub - rajpurkarlab/FactCheXcker: This repository contains code to run the FactCheXcker pipeline on model-generated chest X-ray reports that contain quantifiable metrics, such as endotracheal tube placements.”

🌐 github.com • Jun 9, 2025

https://github.com/rajpurkarlab/FactCheXcker

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