
AI enables detection of fatty liver disease on standard chest radiographs.
Key Details
- 1Fatty liver disease can lead to severe conditions if undetected, such as cirrhosis and liver cancer.
- 2Diagnosis traditionally relies on CT, MRI, or ultrasound, which may be less accessible and more costly than X-rays.
- 3Researchers at Osaka Metropolitan University developed an AI tool to identify fatty liver disease from routine chest X-rays.
- 4The tool demonstrated promising performance and could broaden screening access.
Why It Matters
Early detection of fatty liver disease is critical but challenging. An accessible AI solution using widely available x-ray imaging could improve early diagnosis rates and patient outcomes, expanding radiology's role in preventative care.

Source
Health Imaging
Related News

•AuntMinnie
Machine Learning Model Enhances Risk Stratification for Prostate MRI
Researchers developed machine learning models that outperform PSA testing in predicting abnormal prostate MRI findings for suspected prostate cancer.

•AuntMinnie
AI's Evolving Role in Tackling Radiology Workforce Shortages
AI technologies are emerging as key tools to alleviate radiology workforce shortages by improving efficiency and supporting clinical workflows.

•Radiology Business
Multimodal LLMs Struggle with Radiology Board Image Questions
Latest multimodal large language models show limitations on image-based radiology exam questions.