AI Medical Compendium

Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration.

NPJ digital medicine Feb 19, 2026

We developed and externally validated a hierarchical deep learning pipeline that automates cervical sagittal measurements, explicitly addressing C7 obscuration on lateral radiographs. The model combines a global keypoint detector with C2/C7 specialis... read more

AI prediction models based on time-lapse imaging for good embryos with implantation potential and euploidy.

Scientific reports Feb 19, 2026

'An AlphaFold 4' - scientists marvel at DeepMind drug spin-off's exclusive new AI.

Nature Feb 19, 2026

A machine learning model for frailty based on wearable device measurements.

Communications medicine Feb 19, 2026

BACKGROUND: Frailty is an important factor in human aging associated with a broad range of adverse outcomes. Frailty metrics are time intensive to collect making them difficult for larger scale application. METHODS: We apply machine learning to predi... read more

WISeRKNet: wide slice residual Kronecker network for lung cancer detection based on CT images.

Scientific reports Feb 19, 2026

Automated slope stability assessment using modified Morgenstern-Price method and machine learning integration.

Scientific reports Feb 19, 2026

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

Scientific reports Feb 19, 2026

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity by measuring key physiological variables including oxygen consumption ([Formula: see text]), carbon dioxide production ([Formula: see text]), and pulmo... read more

Factors influencing students' intentions to continue learning in AI-assisted painting courses.

Scientific reports Feb 19, 2026

An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).

Scientific reports Feb 19, 2026

Robust and interpretable unit level causal inference in neural networks for pediatric myopia.

NPJ digital medicine Feb 19, 2026

Understanding causal mechanisms in deep learning is essential for clinical adoption, where interpretability and reliability are critical. Most existing AI systems act as black boxes, limiting transparency in medicine. We propose a causal inference fr... read more

Artificial Intelligence Medical Compendium

Hierarchical deep learning pipeline for robust cervical parameter measurement in radiographs with C7 obscuration.

AI prediction models based on time-lapse imaging for good embryos with implantation potential and euploidy.

'An AlphaFold 4' - scientists marvel at DeepMind drug spin-off's exclusive new AI.

A machine learning model for frailty based on wearable device measurements.

WISeRKNet: wide slice residual Kronecker network for lung cancer detection based on CT images.

Automated slope stability assessment using modified Morgenstern-Price method and machine learning integration.

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

Factors influencing students' intentions to continue learning in AI-assisted painting courses.

An open-source deep learning-based toolbox for automated auditory brainstem response analyses (ABRA).

Robust and interpretable unit level causal inference in neural networks for pediatric myopia.

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