Latest AI and machine learning research in pulmonology for healthcare professionals.
OBJECTIVES: Chronic conditions represent a growing global health challenge, requiring ongoing management in which patients play an active role. Although patient empowerment is increasingly recognized as important, practical insights on how to support it remain limited. This scoping review aims to identify key factors promoting patient empowerment in managing chronic conditions. METHODS: A literatu...
Single-atom alloys greatly expand the design space of heterogeneous catalysts, yet adsorbate binding on these materials often cannot be captured by a single universal principle. Here, we show that oxygen binding on single-atom alloys is instead governed by distinct adsorption regimes that arise from different physical origins. Using more than 1,000 density functional theory calculations, we combin...
BACKGROUND: Artificial intelligence (AI) has revolutionized interventional pulmonology (IP) by enhancing diagnostic accuracy, procedural efficiency, a...
Lung cancer remains a major global health burden. Although low-dose CT (LDCT) is effective for early detection, its clinical application is limited by...
Interstitial lung disease (ILD) encompasses diverse pulmonary disorders with varied prognoses. Current pathological diagnoses suffer from inter-observ...
INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...
A woman in her early 60s with acute Guillain-Barré syndrome (GBS) developed rapidly progressive tetraparesis and respiratory failure requiring non-inv...
Lung cancer, the most commonly diagnosed malignancy, is the leading cause of cancer-related mortality worldwide. Advancements in molecular imaging hav...
As the most promising green hydrogen production technology to address the global energy crisis, electrolysis of water for hydrogen production requires...
High-entropy oxides (HEOs), which contain multiple cations with diverse valence states and highly disordered local environments, offer a much broader ...
BACKGROUND: Postoperative complications contribute significantly to patient morbidity and mortality. Early prediction of such complications could enab...
BACKGROUND: Conventional cardiovascular magnetic resonance (CMR) in pediatric and congenital heart disease uses 2D, breath-hold (BH), balanced steady ...
BACKGROUND: The inherent false-positive rate of computed tomography (CT) necessitates efficient, non-invasive triage tools to distinguish lung cancer ...
OBJECTIVES: This study aimed to apply machine learning (ML) models to enhance lung cancer (LC) classification, distinguishing malignant from benign tu...
OBJECTIVE: Recurrent respiratory papillomatosis (RRP) is a benign tumor that is highly prone to recurrence and has the potential to become malignant, ...
UNLABELLED: Neonatal respiratory monitoring is essential for the early detection of clinical alterations, especially in preterm newborns. Conventional...
BACKGROUND: Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threa...
We present a detailed protocol for the training and application of an AI-assisted workflow for automated analysis of pore and filament structures in s...
Two-dimensional Ti3C2T x MXenes exhibit exceptional electrical conductivity and tunable surface chemistry; however, reduction to zero-dimensional quan...
Artificial intelligence (AI), first defined in 1955 by John McCarthy, has transformed daily life across industries through applications such as chatbo...