Latest AI and machine learning research in copd for healthcare professionals.
Psychiatric electronic health records present unique challenges for machine learning due to their un...
The integration of artificial intelligence (AI) into the management of chronic obstructive pulmonary...
Long-term oxygen therapy (LTOT) is essential for patients with chronic hypoxemia, particularly due t...
The widespread adoption of electronic health records (EHRs) has resulted in the generation of large ...
Lower respiratory tract infections (LRTIs) are a leading cause of mortality worldwide and can be dif...
Combined Pulmonary Fibrosis and Emphysema (CPFE), formally recognized as a distinct pulmonary syndro...
This study aimed to identify prognostic factors associated with poor outcomes of COVID-19 at diagnos...
Many neurological conditions negatively affect a person’s walking quality, which is a vital aspect o...
This pilot study is the first phase of a broader project aimed at developing an explainable artifici...
Load-independent indices of right ventricular (RV) dysfunction aid in the prognosis of patients with...
Interstitial lung disease (ILD) is the leading cause of death in patients with systemic sclerosis (S...
Analysis of cough sounds have the potential to give a clue regarding the underlying respiratory dise...
Approximately 70% of adults with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Op...
Spirometry evaluates lung function by measuring airflow post-maximal inspiration, using parameters l...
Despite biomarker-guided treatment strategies, clinical outcomes among patients with type 2 (T2)-hig...
Artificial intelligence and deep learning are increasingly applied in the clinical domain, particula...
Exacerbations of chronic obstructive pulmonary disease (COPD) are a major cause of morbidity and mor...
Overall survival (OS) remains the gold standard for oncology drug approval, but measuring it require...
Pathological high-frequency oscillations (HFOs 80-600 Hz) in intracranial EEG distinguish epileptoge...
To evaluate whether incorporating baseline sleep measures from a wrist-worn activity monitor in mach...
Eye movements are key biomarkers for diagnosing and monitoring neuro-otological, neuro-ophthalmologi...