AI Medical Compendium

QuantumNeuroXAI: a quantum-inspired deep learning framework with explainability for brain signal analysis and neurological disorder detection.

Scientific reports Apr 10, 2026

Mechanized precision: the rise of robotic systems in spinal surgery.

Orthopadie (Heidelberg, Germany) Apr 10, 2026

BACKGROUND: Robot-assisted spinal surgery has rapidly evolved into a transformative innovation. Initially developed for pedicle screw placement, current systems now support broader indications, offering enhanced precision, reduced radiation exposure ... read more

Deepath-SCC: a deep learning model for accurate tissue origin identification in squamous cell carcinoma.

NPJ precision oncology Apr 10, 2026

Squamous cell carcinoma (SCC) is a common malignancy that arises in diverse organs and often exhibits overlapping histological and immunophenotypic features, making accurate determination of the tissue of origin challenging with conventional patholog... read more

An integrated SWAT-XGBoost-SHAP framework identifies key drivers of critical source areas during critical periods in a small watershed.

Environmental monitoring and assessment Apr 10, 2026

Non-point source (NPS) pollution has emerged as a critical environmental issue, significantly impacting water quality and ecosystem health at the watershed scale. The identification of critical periods (CPs) and critical source areas (CSAs) is fundam... read more

Leveraging machine learning to identify optimal patient populations for PEG-IFN therapy in CHB and constructing nomogram models of interferon response: a 48-week follow-up study.

BMC gastroenterology Apr 10, 2026

Development of a nomogram with machine learning-assisted feature selection for predicting left atrial appendage thrombosis and severe spontaneous echo contrast in patients with non-paroxysmal atrial fibrillation.

BMC cardiovascular disorders Apr 10, 2026

Nano-radiomics of molecular MRI for early amyloid associated patterns in an Alzheimer's disease mouse model via an automatic pipeline.

BMC medical imaging Apr 10, 2026

From algorithms to empathy: can large language models effectively answer patients' questions in restorative dentistry?

BMC oral health Apr 10, 2026

Detection of pediatric cataracts through non-invasive facial photography using deep convolutional neural networks for early diagnosis.

BMC ophthalmology Apr 10, 2026

Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion.

BioData mining Apr 10, 2026

Artificial Intelligence Medical Compendium

QuantumNeuroXAI: a quantum-inspired deep learning framework with explainability for brain signal analysis and neurological disorder detection.

Mechanized precision: the rise of robotic systems in spinal surgery.

Deepath-SCC: a deep learning model for accurate tissue origin identification in squamous cell carcinoma.

An integrated SWAT-XGBoost-SHAP framework identifies key drivers of critical source areas during critical periods in a small watershed.

Leveraging machine learning to identify optimal patient populations for PEG-IFN therapy in CHB and constructing nomogram models of interferon response: a 48-week follow-up study.

Development of a nomogram with machine learning-assisted feature selection for predicting left atrial appendage thrombosis and severe spontaneous echo contrast in patients with non-paroxysmal atrial fibrillation.

Nano-radiomics of molecular MRI for early amyloid associated patterns in an Alzheimer's disease mouse model via an automatic pipeline.

From algorithms to empathy: can large language models effectively answer patients' questions in restorative dentistry?

Detection of pediatric cataracts through non-invasive facial photography using deep convolutional neural networks for early diagnosis.

Light-XAI: a CADx for explainable cervical cancer detection via attention-based lightweight convolutional neural networks and layer-wise feature fusion.

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Artificial Intelligence Medical Compendium

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