Artificial Intelligence Medical Compendium

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

Showing 27,221 to 27,230 of 218,763 articles

Machine learning Green's functions of strongly correlated Hubbard models.

Journal of physics. Condensed matter : an Institute of Physics journal
We demonstrate that a machine learning framework based on kernel ridge regression can encode and predict the self-energy of one-dimensional Hubbard models using only mean-field features such as static and dynamic Hartree-Fock quantities and first-ord... read more 

From local textures to global attention: a hybrid feature fusion network for skin lesion classification.

Scientific reports
Accurate detection of skin cancer detection using RGB images remains a challenge due to multiple factors including variability in lesion appearance, difference in skin types, and the clinical interpretability of the models. To address these challenge... read more 

Multi-sensor and MTConnect dataset of metal cutting anomaly in milling from laboratory and industry settings.

Scientific data
This paper presents the Multi-Sensor and MTConnect (MSM) dataset, an open-access resource for anomaly detection in computer numerical control (CNC) metal milling. The dataset integrates synchronized signals from sound sensors, accelerometers, current... read more 

DUSTrack: Semi-automated point tracking in ultrasound videos.

Scientific reports
UNLABELLED: Ultrasound technology enables safe, non-invasive imaging of dynamic tissue behavior, making it a valuable tool in medicine, biomechanics, and sports science. However, accurately tracking tissue motion in B-mode ultrasound remains challeng... read more 

Artificial intelligence and cognitive offloading: a potential new form of cognitive deprivation?

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
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Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography

arXiv
Reliable automated analysis of Optical Coherence Tomography (OCT) imaging is crucial for diagnosing retinal disorders but faces a critical barrier: the need for expensive, labor-intensive expert annotations. Supervised deep learning models struggle t... read more 

Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems

arXiv
Emerging AI systems in behavioral health and psychiatry use multi-step or multi-agent LLM pipelines for tasks like assessing self-harm risk and screening for depression. However, common evaluation approaches, like LLM-as-a-judge, do not indicate when... read more