Pulmonology

Asthma

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

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Showing 358-378 of 1,724 articles
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences

Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, ...

Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review.

AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose ...

May 2025 40380599
Single-cell RNA sequencing reveals immunological link between house dust mite allergy and childhood asthma.

Allergic asthma in children is typically associated with house dust mites (HDM) as the key allergen....

May 2025 40368964
Emerging Copper-to-Copper Bonding Techniques: Enabling High-Density Interconnects for Heterogeneous Integration.

As CMOS technology continues to downsize to the nanometer range, the exponential growth predicted by...

May 2025 40423119
Predictive machine learning algorithm for COPD exacerbations using a digital inhaler with integrated sensors.

PURPOSE: By using data obtained with digital inhalers, machine learning models have the potential to...

May 2025 40355297
A Call for Integrated Approaches in Digital Technology Design for Aging and Disability.

The fields of aging and disability often proceed as 2 distinct lines of inquiry and action in terms ...

May 2025 40123375
Predicting prolonged hospitalization in asthma patients: model development and external validation.

PURPOSE: This study aims to develop and validate a machine learning (ML) model to predict prolonged ...

May 2025 40317238
Artificial Intelligence-Generated Answers to Patients' Questions on Asthma: The Artificial Intelligence Responses on Asthma Study.

BACKGROUND: Asthma is a prevalent chronic respiratory disease requiring ongoing patient education an...

May 2025 40345326
Deep Learning for Predicting Acute Exacerbation and Mortality of Interstitial Lung Disease.

Some patients with interstitial lung disease (ILD) have a high mortality rate or experience acute e...

May 2025 39680875
Clinical and Social Characterization of Patients Hospitalized for COPD Exacerbation Using Machine Learning Tools.

OBJECTIVE: This study aims to employ machine learning (ML) tools to cluster patients hospitalized fo...

May 2025 39572361
Predicting outcomes after hospitalisation for COPD exacerbation using machine learning.

BACKGROUND: Early readmission and death are critical adverse outcomes following hospitalisation due ...

May 2025 40356797
Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier

Early detection of asthma in children is crucial to prevent long-term respiratory complications an...

Respiratory Inhaler Sound Event Classification Using Self-Supervised Learning

Asthma is a chronic respiratory condition that affects millions of people worldwide. While this co...

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.

Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...

Apr 2025 40368428
The Role of AI in Reshaping Medical Education: Opportunities and Challenges.

Artificial intelligence (AI) is redefining medical education, bringing new dimensions of personalize...

Apr 2025 39956546
Extending Silicon Lifetime: A Review of Design Techniques for Reliable Integrated Circuits

Reliability has become an increasing concern in modern computing. Integrated circuits (ICs) are th...

EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT

Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radi...

Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table

Logic synthesis, a critical stage in electronic design automation (EDA), optimizes gate-level circ...

Achieving Upper Bound Accuracy of Joint Training in Continual Learning

Continual learning has been an active research area in machine learning, focusing on incrementally...

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models

Language is far more than a communication tool. A wealth of information - including but not limite...

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