Pulmonology

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

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Optimizing non small cell lung cancer detection with convolutional neural networks and differential augmentation.

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, with early detecti...

An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful l...

Machine-Learning-Driven Exploration of Surface Reconstructions of Reduced Rutile TiO.

Titanium dioxide (TiO) is widely used as a catalyst support due to its stability, tunable electronic...

Enhancing lung cancer detection through integrated deep learning and transformer models.

Lung cancer has been stated as one of the prevalent killers of cancer up to this present time and th...

Thorax-encompassing multi-modality PET/CT deep learning model for resected lung cancer prognostication: A retrospective, multicenter study.

BACKGROUND: Patients with early-stage non-small cell lung cancer (NSCLC) typically receive surgery a...

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health.

Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices...

Cangrelor and AVN-944 as repurposable candidate drugs for hMPV: analysis entailed by AI-driven in silico approach.

Human metapneumovirus (hMPV) primarily causes respiratory tract infections in young children and old...

Unlocking Proton Exchange Membrane Fuel Cell Performance with Porous PtCoV Alloy Catalysts.

Carbon-supported Pt-based catalysts in fuel cells often suffer from sulfonate poisoning, reducing Pt...

Artificial intelligence for early detection of lung cancer in GPs' clinical notes: a retrospective observational cohort study.

BACKGROUND: The journey of >80% of patients diagnosed with lung cancer starts in general practice. A...

Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation.

Segmentation of complex medical images such as vascular network and pulmonary tracheal network requi...

Video-Based Multiphysiological Disentanglement and Remote Robust Estimation for Respiration.

Remote noncontact respiratory rate estimation by facial visual information has great research signif...

Postoperative physiotherapy interventions in hospitalized adults undergoing pulmonary resection surgery. A protocol for a scoping review.

Patients undergoing lung resection surgery (LRS) may experience various postoperative complications,...

Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional...

Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

PURPOSE: This study was designed to construct progressive binary classification models based on radi...

Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a rad...

Assessing the diagnostic accuracy of ChatGPT-4 in the histopathological evaluation of liver fibrosis in MASH.

BACKGROUND: Large language models like ChatGPT have demonstrated potential in medical image interpre...

Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma.

BACKGROUND: Ttyrosine kinase inhibitors (TKIs) represent the standard first-line treatment for patie...

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