Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting ...
AI algorithm has achieved remarkable accuracy in detecting cardiac amyloidosis, outperforming traditional diagnostic methods.
Liver stiffness measurement after success with oral antivirals predicts HCC risk, particularly among patients with advanced chronic liver disease.
Investigators employed the Accelerating Medicines Partnership to identify noninvasive biomarkers of lupus nephritis pathology and treatment response.
In a 2024 Journal of Thoracic Oncology review, Haiquan Chen, MD, PhD, of Fudan University Shanghai Cancer Center in China, and colleagues backed the use of selective lymph node dissection (LND) to ...
A prospective study conducted at Avicenna University Hospital (Cadi Ayyad University) suggests that the plethysmographic ...
Placental growth factor shows 100% accuracy for early preeclampsia detection in sickle cell disease, new research indicates.
A deep-learning artificial intelligence model trained on salivary gland biopsy images shows potential for classifying focus scores and Sjögren disease.
Background Disappointing outcomes in Sjögren’s disease (SjD) trials underscore the need for reliable, sensitive endpoints.
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