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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المؤلف الرئيسي:	Fahad Muflih Alshagathrh (18427950) (author)
مؤلفون آخرون:	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)
منشور في:	2025
الموضوعات:	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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AI-Based Multiclass Grading of Hepatic Steatosis From B-Mode Ultrasound: Generalization Across Modalities and Clinical Comparison With Radiologists

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