AI Medical Compendium

Predefined-time consensus control for multiagent systems with input and output quantization.

Neural networks : the official journal of the International Neural Network Society Mar 3, 2026

For the predefined-time control problem of unknown nonlinear multi-agent systems (NMASs), a novel adaptive neural consensus control strategy is proposed. Unlike existing predefined-time control approaches, this strategy enables communication of input... read more

Precise estimation of tissue microstructure with hybrid graph transformer.

Artificial intelligence in medicine Mar 3, 2026

The accurate estimation of tissue microstructure requires a sufficient amount of Diffusion MRI (DMRI) data, however, the clinical acquisition of this is challenging. Deep learning therefore improves the inference of tissue microstructure by highly un... read more

Sensor movement drives emergent attention and scalability in active neural cellular automata.

Neural networks : the official journal of the International Neural Network Society Mar 3, 2026

The brain's distributed architecture has inspired numerous artificial intelligence (AI) systems, particularly through its neocortical organization. However, current AI approaches largely overlook a crucial aspect of biological intelligence: active se... read more

Convolutional neural networks for prostate cancer detection, classification, and segmentation: A systematic review and bibliometric analysis.

European journal of radiology open Mar 3, 2026

BACKGROUND: Prostate cancer represents the second most common malignancy among men globally, necessitating accurate diagnostic methodologies for optimal patient outcomes. Convolutional neural networks (CNNs), a core deep learning methodology, have em... read more

FADFNet: A fine-tunable and adaptive decomposition-fusion network for cross-dataset low-dose CT and low-dose PET image reconstruction.

Medical image analysis Mar 3, 2026

Low-dose computed tomography (LDCT) and low-dose positron emission tomography (LDPET) are pivotal for minimizing radiation risks in clinical practice, yet they inherently suffer from noise-induced image degradation. Although deep learning has advance... read more

Benzo[a]pyrene promotes gastric cancer progression via activation of the Correa cascade through modulation of the STAT3-TP53-MMP9 molecular axis.

Ecotoxicology and environmental safety Mar 3, 2026

To investigate the role of Benzo[a]pyrene (BaP) in driving the Correa cascade during gastric cancer development, we employed an integrated strategy combining network toxicology, machine learning, and molecular dynamics (MD) simulations. We identified... read more

Recurrent cortical networks encode natural sensory statistics via sequence filtering.

Neuron Mar 3, 2026

Recurrent neural networks can generate dynamics, but in the sensory cortex, it has been unclear if any dynamic processing is supported by the dense recurrent excitatory-excitatory network. Here, we show a role for recurrent connections in the mouse v... read more

Ethical considerations regarding environmental impact of generative artificial intelligence in dermatology.

Journal of the American Academy of Dermatology Mar 3, 2026

Predictive accuracy of Early Warning Score Systems for Detecting Critically Ill Patients in an Outpatient Setting.

Internal medicine (Tokyo, Japan) Mar 3, 2026

Background No systematic methods exist for triaging outpatients with severe conditions. Our previous pilot study suggested that the National Early Warning Score (NEWS) predicts admission and unexpected intensive care unit (ICU) transfer in outpatient... read more

Minimum Clinically Achievable Dose for Detecting Liver Lesions Using Deep Learning Image Reconstruction: A Phantom and Patient Study.

Academic radiology Mar 3, 2026

RATIONALE AND OBJECTIVES: To investigate the performance of deep learning image reconstruction (DLIR) at an ultra-low dose of approximately 4.5 mGy for detecting focal liver lesions (FLLs), in comparison with adaptive statistical iterative reconstruc... read more

Artificial Intelligence Medical Compendium