Pulmonology

Latest AI and machine learning research in pulmonology for healthcare professionals.

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Machine learning selection of basement membrane-associated genes and development of a predictive model for kidney fibrosis.

This study investigates the role of basement membrane-related genes in kidney fibrosis, a significan...

Optimizing Bi-LSTM networks for improved lung cancer detection accuracy.

Lung cancer remains a leading cause of cancer-related deaths worldwide, with low survival rates ofte...

Intraoperative stenosis detection in X-ray coronary angiography via temporal fusion and attention-based CNN.

BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD), the leading cause of mortality, is caused b...

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...

A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.

Chest computed tomography (CT) scans are essential for accurately assessing the severity of the nove...

Disease diagnostics using machine learning of B cell and T cell receptor sequences.

Clinical diagnosis typically incorporates physical examination, patient history, various laboratory ...

Robust Myocardial Perfusion MRI Quantification With DeepFermi.

Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing th...

C-UQ: Conflict-based uncertainty quantification-A case study in lung cancer classification.

Uncertainty quantification is crucial in deep learning, especially in medical diagnostics, to measur...

Dose prediction via deep learning to enhance treatment planning of lung radiotherapy including simultaneous integrated boost techniques.

BACKGROUND: Recent studies have shown deep learning techniques are able to predict three-dimensional...

AI-facilitated home monitoring for cystic fibrosis exacerbations across pediatric and adult populations.

BACKGROUND: AI-aided home stethoscopes offer the opportunity of continuous remote monitoring of cyst...

Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning.

BACKGROUND: Tuberculosis (TB) continues to pose a significant threat to global public health. Enhanc...

An 8-point scale lung ultrasound scoring network fusing local detail and global features.

Manual lung ultrasound (LUS) scoring is influenced by clinicians' subjective interpretation, leading...

Key RNA-binding proteins in renal fibrosis: a comprehensive bioinformatics and machine learning framework for diagnostic and therapeutic insights.

BACKGROUND: Renal fibrosis is a critical factor in chronic kidney disease progression, with limited ...

Prior knowledge-based multi-task learning network for pulmonary nodule classification.

The morphological characteristics of pulmonary nodule, also known as the attributes, are crucial for...

Development and clinical evaluation of an AI-assisted respiratory state classification system for chest X-rays: A BMI-Specific approach.

PURPOSE: In this study, we aimed to develop and clinically evaluate an artificial intelligence (AI)-...

FibrAIm - The machine learning approach to identify the early stage of liver fibrosis and steatosis.

BACKGROUND: Early recognition of steatosis (fatty liver) and fibrosis in liver health is crucial for...

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