Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 2,981 to 2,990 of 202,937 articles
Non-contact on-device detection of obstructive sleep apnea from infrared video.
Nature communications
Jun 4, 2026
Obstructive sleep apnea (OSA) affects nearly one billion people worldwide, yet most cases remain undiagnosed because standard testing requires overnight polysomnography, which is costly and inconvenient. Here we show that SlAction, a contact-free, wa... read more
Atopic dermatitis.
Nature reviews. Disease primers
Jun 4, 2026
Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among all non-fatal diseases globally. It is characterized by intensely itchy skin and is associated with ... read more
Multimodal deep-learning optimization of chiroptical properties in all-inorganic perovskite-coated TiO2 nanohelices and inverse-design transfer to organic chiral luminophores.
Nature communications
Jun 4, 2026
Circularly polarized luminescence (CPL) has been catching increasing attention for developing advanced photonic displays, quantum communication, bioimaging, and chiral sensing. All-inorganic chiral luminophores are superior to their organic or organi... read more
An in-sensor communication electronic textile for imperceptible and ultrarobust silent speech.
Nature communications
Jun 4, 2026
Aphasiacs with impaired vocal organs suffer profound communication barriers, making silent speech decoding essential. Although audible speech is absent, subtle multi-muscle activities are retained. This provides a physiological basis for the sensing ... read more
MAGC-DTI: modality-shared space and adaptive gated interactive cross-attention for drug-target interaction prediction.
Scientific reports
Jun 4, 2026
Accurate drug-target interaction (DTI) prediction is crucial for drug repurposing and accelerating drug development. Although deep learning has advanced DTI prediction, existing methods struggle with two key challenges: (i) capturing complex hierarch... read more
Measuring human capital with social media data and machine learning.
Scientific reports
Jun 4, 2026
Timely data on educational attainment at granular geographic levels remains scarce in many countries, limiting evidence-based policy-making. Recent advances in machine learning have enabled the use of non-traditional data sources like satellite image... read more
Amorphous metal-oxide semiconductor thin-film neuron, synapse, and neuromorphic system.
Scientific reports
Jun 4, 2026
Artificial intelligence will spread exponentially and requires compact size and energy efficiency, for which one solution is neuromorphic systems. On the other hand, thin-film semiconductor technologies have spread widely and feature as giant-micro e... read more
Rule-guided Skip-GCN in neural latent information diffusion network for social recommendation.
Scientific reports
Jun 4, 2026
Graph neural networks (GNNs) have significantly advanced social recommendation; however, existing methods often homogenize diverse social influences and neglect latent item-item correlations, limiting their ability to model complex user preferences. ... read more
Predicting student grades via adaptive multi-level learning models.
Scientific reports
Jun 4, 2026
Educational institutions increasingly rely on intelligent systems to extract actionable insights from student data. One critical application is the early prediction of student performance in specific courses, which can inform academic advising, cours... read more
Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation.
Scientific reports
Jun 4, 2026
Efficient prediction of the remaining useful life (RUL) of lithium ion batteries is essential in ensuring safety, reliability and energy efficiency of new energy-storage and mobility systems. This paper suggests a hybrid machine-learning model that c... read more
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