Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 20,481 to 20,490 of 215,962 articles

[Artificial intelligence in medicine : Foundations, potential, structural limits and current developments].

Innere Medizin (Heidelberg, Germany)
Artificial intelligence (AI) is widely regarded as a key technology for the further development of medical care. Its performance, however, depends less on algorithmic innovations than on the quality, availability and interoperability of medical data.... read more 

Single-cell morphodynamics predict cell fate decisions during mucociliary epithelial differentiation.

Molecular systems biology
Cell state transitions underlie the emergence of diverse cell types and are traditionally defined by changes in gene expression. Yet these transitions also involve coordinated shifts in cell morphology and behavior, which remain poorly characterized ... read more 

Abstraction-dependent diagnostic performance of a multimodal foundation model in oral epithelial dysplasia.

Odontology
The reliability of general-purpose multimodal large language models (LLMs) in oral histopathologic image interpretation remains incompletely characterized. To evaluate abstraction-level diagnostic competence, grading reliability, and structural error... read more 

Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.

Journal of imaging informatics in medicine
Patent ductus arteriosus (PDA) is a common congenital heart defect that requires timely and accurate detection to guide clinical management. Although deep learning has shown considerable promise in medical imaging, its application to echocardiographi... read more 

Differential Attention Feature Aggregator (DAFE) for Advanced Melanoma Detection.

Journal of imaging informatics in medicine
Melanoma is a highly aggressive form of skin cancer with a significant mortality rate. Over the past two decades, its incidence has been on the rise and is projected to increase further in the future. Early treatment has a higher survival rate. Curre... read more 

An Intensity-Based Cropping Approach for Fast, Interpretable, and Robust Localization of the Knee Joint in Radiographs.

Journal of imaging informatics in medicine
Effective image preprocessing is critical for ensuring the robustness and generalizability of downstream models by preventing shortcut learning on spurious features. Knee joint localization is essential for reliable pathology assessment by automatica... read more 

Impact of CT Acquisition Parameters on Deep Learning of Aortic Segmentation Performance: Systematic Review.

Journal of imaging informatics in medicine
Automatic segmentation of computed tomography (CT) images is fundamental for quantitative anatomical analysis in a wide range of clinical applications. Despite remarkable advances in artificial intelligence (AI), CT acquisition parameters critically ... read more 

Towards naturalistic social neuroscience: A multi-level framework integrating real-world phenotyping, neurobiology, and computational mechanisms.

Cognitive, affective & behavioral neuroscience
Humans are inherently social species. Our behavior is heavily influenced by the social environment and context. While the traditional social neuroscience approach has made significant progress in mapping isolated social cognitive processes, it often ... read more 

Noninvasive neurophysiological diagnostics of delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage: a scoping review.

Acta neurochirurgica
BACKGROUND: Delayed cerebral ischemia (DCI) is a major complication following aneurysmal subarachnoid hemorrhage (aSAH), affecting outcomes. Given its multifactorial pathophysiology, including vasospasm, microcirculatory dysfunction, and neuroelectri... read more