Artificial Intelligence Medical Compendium

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

Showing 31,131 to 31,140 of 220,293 articles

A-Site Cation Functional Engineering Enables Lead-free Perovskite Photosynapse for Neuromorphic Visual Computing.

ACS applied materials & interfaces
Optoelectronic synapses that directly couple light sensing with memory and computing functions offer a promising route toward energy-efficient neuromorphic vision systems. However, the development of high-performance perovskite synapses remains heavi... read more 

Multimodal large language models in brain tumor imaging: clinical applications and future perspectives.

Radiologie (Heidelberg, Germany)
The use of multimodal data is essential for the precise diagnosis and treatment of brain tumors. In this context, multimodal data encompass multisequence magnetic resonance imaging, computed tomography, positron emission tomography, histopathological... read more 

Initial Multicenter Evaluation of a Novel Anchoring Exchange Device: AI-based Quantitative Distal Tip-Motion Analysis.

Clinical neuroradiology
PURPOSE: Exchange maneuvers during intracranial angioplasty and stent deployment can cause unintended distal tip motion, potentially leading to vessel injury. We evaluated a novel anchoring exchange device (Medilizer; Medikit, Tokyo, Japan), a 320-cm... read more 

Dengue vector niche modeling with future SSP climatic scenarios over India using the machine learning-based MaxEnt model.

International journal of biometeorology
Dengue remains a major mosquito-borne public-health threat, and climate change is expected to reshape the geographic suitability of its principal vectors. We developed India-wide species distribution models for Aedes aegypti and Aedes albopictus usin... read more 

Comment on "AI for clinical neurology: comparing five large language models in neurological diagnosis and lesion localization".

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
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Deep learning for carotid Doppler spectra classification.

Medical & biological engineering & computing
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Chronic Subdural Hematoma Segmentation: A Dedicated Model to Overcome the Limitations of Acute Hemorrhage Segmentation Across Chronic Subdural Hematoma Subtypes and Density Variations.

Journal of imaging informatics in medicine
Most existing intracranial hematoma segmentation models target acute hemorrhages and may not generalize to the heterogeneous morphology of chronic subdural hematomas (CSDH). We compared a model trained on an open-access acute intracranial hemorrhage ... read more