AI Medical Compendium

Predicting brain volumes from anthropometric and demographic features: insights from UK biobank neuroimaging data.

Brain structure & function Mar 11, 2026

Hybrid seed production: new paradigms and challenges in the twenty-first century.

Planta Mar 11, 2026

Hybrid seed technology future depends on integrating advanced genomics, AI-driven breeding, and enabling policies to sustainably delivery climate-resilient, high-performing hybrids with broad accessibility and equitable benefits worldwide. Hybrid see... read more

The Dysfunctional Self-Focus Attributes Scale-7 (DSAS-7): A Machine Learning-based Development of a Shortened Version of the DSAS.

Journal of medical systems Mar 11, 2026

Amyloid PET quantification with deep learning segmentation models without MRI.

EJNMMI physics Mar 11, 2026

Application of machine learning to nanomaterial design with silver nanoprisms.

Discover nano Mar 11, 2026

Achieving reproducible synthesis of nanomaterials with tunable optical and morphological properties remains a central challenge in materials design. Conventional trial-and-error strategies struggle with the nonlinear transitions governing nanoparticl... read more

The Development and External Testing of Deep Learning Model for Automated Classification of Intervertebral Disc Degeneration on CT Images.

Journal of imaging informatics in medicine Mar 11, 2026

The study aims to develop and externally test a deep learning (DL) model using CT images for automatic classification of intervertebral disc degeneration. This retrospective study enrolled patients aged ≥ 18 years who were diagnosed with intervertebr... read more

An interpretable nomogram for predicting sleep disturbance risk in maintenance hemodialysis patients.

International urology and nephrology Mar 11, 2026

BACKGROUND: This study aimed to develop and validate an interpretable nomogram to predict the risk of sleep disturbance in maintenance hemodialysis (MHD) patients. METHODS: In this single-center study, 208 MHD patients were enrolled. Sleep quality wa... read more

Multi-omics integration constructs a senescence-based prognostic model and identifies EIF4EBP1 as a therapeutic target in clear cell renal cell carcinoma.

Discover oncology Mar 11, 2026

Expert-distilled spectrogram-attention SAI3C network for robust IIIC EEG pattern recognition.

Medical & biological engineering & computing Mar 11, 2026

Artificial intelligence and photon-counting CT: the three phases of the software-hardware revolution in radiology.

La Radiologia medica Mar 11, 2026

Artificial Intelligence Medical Compendium

Predicting brain volumes from anthropometric and demographic features: insights from UK biobank neuroimaging data.

Hybrid seed production: new paradigms and challenges in the twenty-first century.

The Dysfunctional Self-Focus Attributes Scale-7 (DSAS-7): A Machine Learning-based Development of a Shortened Version of the DSAS.

Amyloid PET quantification with deep learning segmentation models without MRI.

Application of machine learning to nanomaterial design with silver nanoprisms.

The Development and External Testing of Deep Learning Model for Automated Classification of Intervertebral Disc Degeneration on CT Images.

An interpretable nomogram for predicting sleep disturbance risk in maintenance hemodialysis patients.

Multi-omics integration constructs a senescence-based prognostic model and identifies EIF4EBP1 as a therapeutic target in clear cell renal cell carcinoma.

Expert-distilled spectrogram-attention SAI3C network for robust IIIC EEG pattern recognition.

Artificial intelligence and photon-counting CT: the three phases of the software-hardware revolution in radiology.

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