UNLABELLED: Tertiary lymphoid structures (TLS) are critical components of the tumor microenvironment in gastric cancer, but clinical assessment of TLSs is challenging. The development of automated annotation tools for histopathologic slide analysis c...
Ophthalmic practice involves the integration of diverse clinical data and interactive decision-making, posing challenges for traditional artificial intelligence (AI) systems. Visual question answering (VQA) addresses this by combining computer vision...
PURPOSE: To investigate the diagnostic accuracy, feasibility and end-user experiences of an artificial intelligence (AI)-based, automated diabetic retinopathy (DR) screening model in real-world, Australian primary care and endocrinology clinics.
Nederlands tijdschrift voor tandheelkunde
Dec 9, 2025
Orthodontic diagnostics are based on medical history and clinical examination, and involve more than mere classification. Various diagnostic systems help structure the assessment of skeletal, dental, and functional abnormalities. In addition to tradi...
Zhonghua bing li xue za zhi = Chinese journal of pathology
Dec 8, 2025
Over the past decade, pathology technology in China has undergone rapid development. Through continuous efforts to strengthen normative foundations and quality control, the three-tiered quality control network (national, provincial, and municipal) ha...
BACKGROUND AND AIMS: Coronary thin-cap fibroatheromas (TCFA) are associated with adverse outcome, but identification of TCFA requires expertise and is highly time-demanding. This study evaluated the utility of artificial intelligence (AI) for TCFA id...
Australian health review : a publication of the Australian Hospital Association
Dec 4, 2025
The integration of artificial intelligence (AI) into Australian healthcare promises to improve diagnostic accuracy, workflow efficiency, and personalised care, yet it also introduces critical cybersecurity vulnerabilities that threaten not only data ...
Conventional radiomics approaches are constrained by suboptimal diagnostic performance, limited capacity to characterize molecular heterogeneity within the tumor microenvironment, and insufficient capture of critical biological information regarding ...
BACKGROUND: Interest in bronchiectasis is increasing and no prior study has used artificial intelligence (AI) to interrogate its rich, multidimensional literature to characterise research trends, themes and knowledge gaps.
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