Artificial Intelligence Medical Compendium

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

Showing 16,531 to 16,540 of 213,568 articles

From EEG signals to quantitative assessment: predicting depression severity using a novel deep learning framework.

Scientific reports May 19, 2026
The assessment of depression severity still relies primarily on subjective rating scales, with a lack of objective quantitative biomarkers. This study aimed to develop a deep learning model based on resting-state electroencephalography (EEG) for auto... read more 

Machine learning surrogate for the leaf PROSPECT-D model and its applications across plant species.

Scientific reports May 19, 2026
Leaf hyperspectral reflectance (HSR) data have gained increasing attention due to their usage in predicting a range of leaf physiological, biochemical, structural, and photosynthetic traits using machine learning (ML) models. The PROSPECT family of m... read more 

Use of machine learning and voice for multiclass classification of Parkinson's disease, chronic obstructive pulmonary disease, and healthy controls.

Scientific reports May 19, 2026
Parkinson's disease (PD) and chronic obstructive pulmonary disease (COPD) are prevalent conditions with substantial impact on quality of life and health care systems. Both disorders affect voice production through different physiological mechanisms, ... read more 

Attention mechanism-based CNN-LSTM hybrid deep learning model for industrial pipeline leak detection.

Scientific reports May 19, 2026
Pipelines are among the most cost-effective and widely adopted means of transporting liquids and gases. Multiphase pipelines, which are designed to carry both liquid and gas simultaneously rather than a single fluid, are widely used in modern industr... read more 

Zero-shot de novo peptide sequencing with open posttranslational modification discovery.

Nature biotechnology May 19, 2026
De novo peptide sequencing directly infers sequences from mass spectrometry data without relying on protein databases. Although recent deep learning models can also identify posttranslational modifications (PTMs), they require labeled training data f... read more 

Temporally consistent longitudinal brain tumor segmentation using a temporal spatial transformer network.

Scientific reports May 19, 2026
Proper monitoring of tumor progression and evaluation of treatment responses highly depend on longitudinal brain tumor segmentation from MRI data. Current deep learning methodologies have mainly concentrated on analyzing single-time-point images, whi... read more 

Heart failure detection in electrocardiograms using Artificial Intelligence and pragmatic labelling.

NPJ digital medicine May 19, 2026
The diagnosis of heart failure (HF) is resource-intensive, leading to severe underdiagnosis. This study proposes the use of a deep learning model to detect HF solely from electrocardiograms. HF has limited validity in diagnosis codes, lowering the vi... read more 

A multi-agent system for automating scientific discovery.

Nature May 19, 2026
Scientific discovery is driven by the iterative process of observation, hypothesis generation, experimentation, and data analysis. Despite recent advancements in applying artificial intelligence to biology, no system has yet automated all these stage... read more 

Diffusion MRI experimental design optimization for microstructure imaging.

Communications biology May 19, 2026
Accurate characterization of brain tissue microstructure using diffusion MRI (dMRI) depends on data acquisition protocols. While optimal design has been explored through Fisher information, empirical subsampling of large datasets and machine learning... read more 

The Role of Inflammatory Biomarkers in Disease Severity and Treatment Response across Psoriasis, Atopic Dermatitis, and Hidradenitis Suppurativa-A Narrative Review.

Dermatology and therapy May 19, 2026
Chronic inflammatory skin diseases (CISDs) such as psoriasis (PsO), atopic dermatitis (AD), and hidradenitis suppurativa (HS) involve both cutaneous and systemic immune dysregulation, whereas commonly used scores rely largely on subjective clinical f... read more 
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