AI Medical Compendium

Overcoming difficulties in segmentation of hyperspectral plant images with small projection areas using machine learning.

Scientific reports Jan 30, 2026

Segmentation of hyperspectral image data is a well-established technique in remote sensing. While it is commonly applied to individual field crops, its use for individual trees is less prevalent. Conifers are crucial in forestry, and assessing physio... read more

Adversarial robust EEG-based brain-computer interfaces using a hierarchical convolutional neural network.

Scientific reports Jan 30, 2026

Brain-Computer Interfaces (BCIs) based on electroencephalography (EEG) are widely used in motor rehabilitation, assistive communication, and neurofeedback due to their non-invasive nature and ability to decode movement-related neural activity. Recent... read more

Machine learning-based estimation and optimization of phoenix Dactylifera Seed Powder reinforced vinyl ester bio-composites.

Scientific reports Jan 30, 2026

This study aims to develop a robust machine learning (ML) framework for accurately predicting the mechanical and thermal properties of sustainable vinyl ester composites reinforced with Phoenix Dactylifera Seed Powder (PDSP). To achieve this, multipl... read more

A deep learning ensemble framework for multi-subtype renal tumor classification using contrast-enhanced CT.

Scientific reports Jan 30, 2026

A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder.

NPP - digital psychiatry and neuroscience Jan 30, 2026

The choroid plexus serves as the primary barrier between the brain's blood and cerebrospinal fluid and mediates neuroimmune function. A subset of individuals with autism spectrum disorder (ASD) may exhibit morphological alterations of the choroid ple... read more

Computational framework and machine learning approach to fractional order soil helminth infections disease model for control mechanism.

Scientific reports Jan 30, 2026

Soil-transmitted helminth (STH) infections are exceedingly common, estimated to afflict 1.5 billion individuals worldwide, or 24% of the total population. The aim of this work is to model the transmission dynamics of soil-transmitted helminth (STH) i... read more

Identification of diagnostic and prognostic biomarkers in lung adenocarcinoma through integrated bioinformatics analysis and real time PCR validation.

Scientific reports Jan 30, 2026

Lung cancer is the third most common cancer in the US with a 5-year survival rate of 17%. Non-small cell lung cancer, especially adenocarcinoma, prevails. Therefore, early detection and biomarker discovery are extremely important. This study uses dee... read more

Predicting off-track development in infants aged 0-6 months in low-resource settings using machine learning.

Pediatric research Jan 30, 2026

BACKGROUND: This study aimed to address the critical gap in the limited application of machine learning (ML) for identifying developmental delays in low-resource settings by developing models to predict off-track development in infants aged 0 to 6 mo... read more

Evaluating the predictive accuracy of supervised machine learning models to explore the mechanical strength of blast furnace slag incorporated concrete.

Scientific reports Jan 30, 2026

This robot hand detaches and walks by itself.

Nature Jan 30, 2026

Artificial Intelligence Medical Compendium

Overcoming difficulties in segmentation of hyperspectral plant images with small projection areas using machine learning.

Adversarial robust EEG-based brain-computer interfaces using a hierarchical convolutional neural network.

Machine learning-based estimation and optimization of phoenix Dactylifera Seed Powder reinforced vinyl ester bio-composites.

A deep learning ensemble framework for multi-subtype renal tumor classification using contrast-enhanced CT.

A probabilistic deep learning approach for choroid plexus segmentation in autism spectrum disorder.

Computational framework and machine learning approach to fractional order soil helminth infections disease model for control mechanism.

Identification of diagnostic and prognostic biomarkers in lung adenocarcinoma through integrated bioinformatics analysis and real time PCR validation.

Predicting off-track development in infants aged 0-6 months in low-resource settings using machine learning.

Evaluating the predictive accuracy of supervised machine learning models to explore the mechanical strength of blast furnace slag incorporated concrete.

This robot hand detaches and walks by itself.

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Artificial Intelligence Medical Compendium

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