Artificial Intelligence Medical Compendium

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

Showing 1,561 to 1,570 of 163,957 articles

Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
BackgroundNon-contrast computed tomography (NCCT) is the first image for stroke assessment, but its sensitivity for detecting large vessel occlusion (LVO) is limited. Artificial intelligence (AI) algorithms may contribute to a faster LVO diagnosis us... read more 

SDVDiag: A Modular Platform for the Diagnosis of Connected Vehicle Functions

arXiv
Connected and software-defined vehicles promise to offer a broad range of services and advanced functions to customers, aiming to increase passenger comfort and support autonomous driving capabilities. Due to the high reliability and availability r... read more 

Archiverse: an Approach for Immersive Cultural Heritage

arXiv
Digital technologies and tools have transformed the way we can study cultural heritage and the way we can recreate it digitally. Techniques such as laser scanning, photogrammetry, and a variety of Mixed Reality solutions have enabled researchers to... read more 

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences

arXiv
Large Vision-Language Models (LVLMs) have transformed image captioning, shifting from concise captions to detailed descriptions. We introduce LOTUS, a leaderboard for evaluating detailed captions, addressing three main gaps in existing evaluations:... read more 

Considerations on GPT-4o and Gemini Flash 2.0 in Acne/Rosacea.

International journal of dermatology
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Uncovering multimorbidity patterns linked to disability in aging populations: A machine learning analysis.

Geriatrics & gerontology international
AIM: Multimorbidity and disability are prevalent in older adults, yet the relationship between specific multimorbidity patterns and disability is poorly understood. This study aimed to identify clinically significant multimorbidity patterns in older ... read more 

Face2VoiceSync: Lightweight Face-Voice Consistency for Text-Driven Talking Face Generation

arXiv
Recent studies in speech-driven talking face generation achieve promising results, but their reliance on fixed-driven speech limits further applications (e.g., face-voice mismatch). Thus, we extend the task to a more challenging setting: given a fa... read more 

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

Stroke
BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifying stroke types and subtypes using electronic health records remains challenging due to limitations in structured data. This often necessitates manual... read more