Pulmonology

Multimodal AI-driven analysis in breast and lung cancer: insights from the OPTIMA prototyping workshop.

This paper reports on insights from the OPTIMA (Optimal Treatment for Patients with Solid Tumours in...

Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence.

PURPOSE: Natural language processing (NLP, artificial intelligence) can enable automated identificat...

Paradigm shift in medicine and in clinical reasoning method: time has come for a new chest semiotics.

INTRODUCTION: Clinical reasoning in medicine is a complex cognitive process that integrates sensory ...

Enhancing lung diseases recognition through CNN-RNN methodologies.

Diagnostics of respiratory disorders greatly benefit from medical imaging, especially X-ray imaging,...

Automated Detection and Classification of Pleural Effusion on Computed Tomography Using Deep Learning.

The aim of this study is to develop and evaluate the performance of a two-stage deep learning-based ...

Efficacy of swine Influenza A virus vaccines on transmission, viral shedding and clinical signs: Systematic review and meta-analysis.

Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination ...

The Role of Machine Learning and Artificial Intelligence in Drug Discovery and Clinical Care of Pulmonary Hypertension.

Pulmonary hypertension (PH) is a severe and oftentimes fatal disease with a high degree of clinical ...

Parsimonious and explainable biomarker-based severity score for hospitalised patients with COVID-19-related respiratory infections: development, validation and XAI benchmarking.

BACKGROUND: Severity scoring systems are increasingly important tools for stratifying hospitalised p...

LCPBert: ProtBERT-based early-stage lung cancer prediction from T cell receptor beta sequences.

Early detection of lung cancer remains challenging due to limitations of current methods. We develop...

Detection of Interstitial Lung Abnormalities on Chest Radiographs: Diagnostic Performance of Radiologists and Artificial Intelligence.

Background: Interstitial lung abnormalities (ILA) on chest CT are receiving growing attention given ...

Accelerated Aging and Aging Velocity from Deep Learning-based Chest Radiograph-derived Age for Predicting Cause-specific Mortality.

Purpose To assess the prognostic value of deep learning-derived radiographic age and aging velocity ...

Echocardiographic Evaluation of Global Cardiac Function in Systemic Sclerosis-Associated Pulmonary Arterial Hypertension: An Integrated Review of Parameters and Techniques.

Systemic sclerosis (SSc) is a connective tissue disease frequently complicated by pulmonary arterial...

A feasibility study of deep learning-based segmentation of the inferior alveolar nerve on magnetic resonance neurography.

Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.

BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification ...

Evaluation of AI-Based Medical Device Concerning Localization Information Using Nonparametric Inference for the Alternative Free-Response ROC Curve.

The alternative free-response receiver operating characteristic (AFROC) curve is a popular method fo...

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study.

BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagn...

Patient-Specific Cardio-Respiratory Model for Optimization of Cardiac Radioablation.

Stereotactic Arrhythmia Radioablation (STAR) is a promising treatment for refractory ventricular tac...

Predictive Value of Machine Learning for Mortality Risk in Acute Pancreatitis: A Systematic Review and Meta-Analysis.

BACKGROUND: Acute pancreatitis (AP), a common acute abdominal disease, has a high mortality rate in ...

Deep Learning Segmentation of Pectoralis Muscle Volume at CT and Comparison with Pectoralis Muscle Area in COPD.

Purpose To develop a deep learning model for segmenting pectoralis muscle volume (PMV) at CT and eva...

Fetal pHocus: A Novel Approach to Non-Invasive Fetal Arterial Blood pH Assessment via Near-Infrared Spectroscopy.

Modern intrapartum fetal health assessments are currently limited to monitoring heart rate and spati...

Contrasting Global and Patient-Specific Regression Models via a Neural Network Representation.

When developing clinical prediction models, it can be challenging to balance between global models t...