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Subcategories: Asthma COPD Cystic Fibrosis Pneumonia Tuberculosis

Showing 694-714 of 6,504 articles

Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study.

Patients with multiple comorbidities and those undergoing complex cardiac surgery may experience ext...

Mar 2025 PMID: 40075125

Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning.

BACKGROUND: Talaromyces marneffei is an emerging pathogen, and the number of infections in HIV-negat...

Mar 2025 PMID: 40086140

Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach.

This study introduces an interpretable machine learning framework to predict nitrogen removal in mem...

Mar 2025 PMID: 40081773

Identification of People in a Household Using Ballistocardiography Signals Through Deep Learning.

BACKGROUND: Various sensor technologies have been developed to monitor the health of older adults; h...

Mar 2025 PMID: 40292805

A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study.

UNLABELLED: Congenital diaphragmatic hernia (CDH) has high morbidity and mortality rates. This study...

Mar 2025 PMID: 40067512

Nanomaterial Innovations and Machine Learning in Gas Sensing Technologies for Real-Time Health Diagnostics.

Breath sensors represent a frontier in noninvasive diagnostics, leveraging the detection of volatile...

Mar 2025 PMID: 40064596

Validation of patient-specific deep learning markerless lung tumor tracking aided by 4DCBCT.

. Tracking tumors with multi-leaf collimators and x-ray imaging can be a cost-effective motion manag...

Mar 2025 PMID: 39978071

Factors associated with the development of severe asthma: A nationwide study (FINASTHMA).

BACKGROUND: Severe asthma presents a major challenge to health care and negatively affects the quali...

Mar 2025 PMID: 40068799

Harnessing machine learning for predicting successful weaning from mechanical ventilation: A systematic review.

BACKGROUND: Machine learning (ML) models represent advanced computational approaches with increasing...

Mar 2025 PMID: 40058181

CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

BACKGROUND: High altitude pulmonary edema (HAPE) poses a significant medical challenge to individual...

Mar 2025 PMID: 40057746

Prediction of tumor spread through air spaces with an automatic segmentation deep learning model in peripheral stage I lung adenocarcinoma.

BACKGROUND: To evaluate the clinical applicability of deep learning (DL) models based on automatic s...

Mar 2025 PMID: 40057743

Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks.

Detection and classification of cardiovascular diseases are crucial for early diagnosis and predicti...

Mar 2025 PMID: 40057600

CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

PURPOSE: This is a preliminary analysis of one of the secondary endpoints in the prospective study c...

Mar 2025 PMID: 40053285

Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure.

BACKGROUND: Early identification of patients with acute hypoxemic respiratory failure (AHRF) who are...

Mar 2025 PMID: 40055757

An extensive review on infectious disease diagnosis using machine learning techniques and next generation sequencing: State-of-the-art and perspectives.

UNLABELLED: Infectious diseases, including tuberculosis (TB), HIV/AIDS, and emerging pathogens like ...

Mar 2025 PMID: 40054170

Browse Specialties

Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study.

Early differential diagnosis models of Talaromycosis and Tuberculosis in HIV-negative hosts using clinical data and machine learning.

Enhanced nitrogen prediction and mechanistic process analysis in high-salinity wastewater treatment using interpretable machine learning approach.

Identification of People in a Household Using Ballistocardiography Signals Through Deep Learning.

A machine learning approach to predict mortality and neonatal persistent pulmonary hypertension in newborns with congenital diaphragmatic hernia. A retrospective observational cohort study.

Nanomaterial Innovations and Machine Learning in Gas Sensing Technologies for Real-Time Health Diagnostics.

Validation of patient-specific deep learning markerless lung tumor tracking aided by 4DCBCT.

Factors associated with the development of severe asthma: A nationwide study (FINASTHMA).

Harnessing machine learning for predicting successful weaning from mechanical ventilation: A systematic review.

CPHNet: a novel pipeline for anti-HAPE drug screening via deep learning-based Cell Painting scoring.

Prediction of tumor spread through air spaces with an automatic segmentation deep learning model in peripheral stage I lung adenocarcinoma.

Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks.

CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure.

Accuracy of artificial intelligence-based segmentation in maxillofacial structures: a systematic review.

Prediction of STAS in lung adenocarcinoma with nodules ≤ 2 cm using machine learning: a multicenter retrospective study.

Diagnostic Performance of Artificial Intelligence-Based Methods for Tuberculosis Detection: Systematic Review.

Tuberculosis of the central nervous system: current concepts in diagnosis and treatment.

Deep reinforcement learning for multi-targets propofol dosing.

AI integrations with lung cancer screening: Considerations in developing AI in a public health setting.

An extensive review on infectious disease diagnosis using machine learning techniques and next generation sequencing: State-of-the-art and perspectives.

Browse Specialties