AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists

AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists

<p dir="ltr">Non-alcoholic fatty liver disease (NAFLD) is a growing public health challenge, underscoring the need for scalable, non-invasive tools to grade hepatic steatosis. Although B-mode ultrasound is accessible and safe, its reliability is limited by operator and scanner variab...

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Bibliographic Details
Main Author: Fahad Muflih Alshagathrh (18427950) (author)
Other Authors: Haider Dhia Zubaydi (18519360) (author), Mahmood Alzubaidi (15740693) (author), Abdulaziz Alosaimi (11475559) (author), Raneem Mohammed Al Saqer (23073700) (author), Abdullah Mutlaq Alzahrani (23073703) (author), Mei Khalid Alfaqiri (23073706) (author), Mohamed Rajab Elzahrani (23073709) (author), Khalid Alswat (13047418) (author), Ali Aldhebaib (23073712) (author), Bushra Alahmadi (23073715) (author), Meteb Alkubeyyer (23073718) (author), Amani Alsadoon (23073721) (author), Maram Alkhamash (23073724) (author), Jawad Ahmad Alraimi (23073727) (author), Jens Schneider (16885948) (author), Mowafa Househ (9154124) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Clinical sciences
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
deep learning
ultrasound imaging
hepatic steatosis
multiclass classification
domain adaptation
diagnostic accuracy
inter-rater reliability
biopsy ground truth
non-alcoholic fatty liver disease (NAFLD)
Training
Adaptation models
Accuracy
Urban areas
Liver diseases
Deep learning
Benchmark testing
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