Pulmonology

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

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CT-Based Radiomics for Predicting PD-L1 Expression in Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis.

BACKGROUND AND PURPOSE: The efficacy of immunotherapy in non-small cell lung cancer (NSCLC) is intri...

Ultrasound image-based contrastive fusion non-invasive liver fibrosis staging algorithm.

OBJECTIVE: The diagnosis of liver fibrosis is usually based on histopathological examination of live...

Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees.

Due to imbalanced data values and high-dimensional features of lung cancer from CT scans images crea...

The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging tas...

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Immunological biomarkers and gene signatures predictive of radiotherapy resistance in non-small cell lung cancer.

INTRODUCTION: A significant challenge in treating non-small cell lung cancer (NSCLC) is its inherent...

Leveraging computer vision systems for monitoring hutch-housed dairy calves.

Computer vision systems (CVS) have emerged as a powerful technology for animal monitoring. However, ...

Towards establishing functional nitrogenase activities within plants.

Biological nitrogen fixation, catalyzed by nitrogenase, can convert atmospheric N₂ into NH₃ for plan...

Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH.

OBJECTIVES: This work aimed to develop an automated method for quantifying the distribution and seve...

Hydronephrosis-Associated Renal Fibrosis: Clinical Validation of Spp1 as a Biomarker and Therapeutic Target.

BACKGROUND: Renal fibrosis is a key driver of chronic kidney disease (CKD), often leading to end-sta...

Estimating Total Lung Volume from Pixel-Level Thickness Maps of Chest Radiographs Using Deep Learning.

Purpose To estimate the total lung volume (TLV) from real and synthetic frontal chest radiographs (...

Human and Deep Learning Predictions of Peripheral Lung Cancer Using a 1.3 mm Video Endoscopic Probe.

BACKGROUND AND OBJECTIVE: Iriscope, a 1.3 mm video endoscopic probe introduced through an r-EBUS cat...

Unveiling the oxidation mechanisms of octa-penta graphene: a multidimensional exploration from first-principles to machine learning.

Octa-penta graphene (OPG), a novel carbon allotrope characterized by its distinctive arrangement of ...

Predictive model of malignancy probability in pulmonary nodules based on multicenter data.

OBJECTIVES: To study the characteristic factors associated with the occurrence of malignant nodules ...

Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions.

PURPOSE: To compare the impact of a deep-learning image reconstruction algorithm (Precise Image) wit...

Identification and validation of hypoxia-associated genes positively correlated with in pulmonary adenocarcinoma.

BACKGROUND: Hypoxia contributes to the proliferation, migration, and chemotherapy resistance of lung...

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