Latest AI and machine learning research in pulmonology for healthcare professionals.
Early detection of lung cancer is crucial for improving survival rates because it allows for potentially curative treatments; however, most lung cancer cases in Singapore are diagnosed at advanced stages. This review article provides an overview of current practices in the management of early-stage non-small-cell lung cancer (stages I-IIIA) in Singapore (i.e., screening, diagnosis, treatment, and ...
BACKGROUND: Asthma is a prevalent chronic respiratory disease requiring ongoing patient education and individualized management. The increasing reliance on digital tools, particularly generative artificial intelligence (AI), to answer health-related questions has raised concerns about the accuracy, reliability, and comprehensibility of AI-generated information for people living with asthma.
Molecular subtyping of pulmonary large-cell neuroendocrine carcinoma (LCNEC) based on retinoblastoma protein (pRb) expression may influence systemic t...
Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physiological signals. However, a gap remains between th...
Auscultation remains a cornerstone of clinical practice, essential for both initial evaluation and continuous monitoring. Clinicians listen to the l...
Heating, Ventilation, and Air Conditioning (HVAC) systems are essential for maintaining indoor environmental quality, but their interconnected natur...
Active stress models in cardiac biomechanics account for the mechanical deformation caused by muscle activity, thus providing a link between the ele...
OBJECTIVES: This study aimed to develop an automated method for pulmonary artery and vein segmentation in both left and right lungs from computed tomo...
OBJECTIVES: Reliable methods for predicting pathological complete response (pCR) in non-small cell lung cancer (NSCLC) patients undergoing neoadjuvant...
Standardised tests using short answer questions (SAQs) are common in postgraduate education. Large language models (LLMs) simulate conversational la...
Pneumonia Diagnosis, though it is crucial for an effective treatment, it can be hampered by uncertainty. This uncertainty starts to arise due to som...
The dynamic nature of human health and comfort calls for adaptive systems that respond to individual physiological needs in real time. This paper pr...
This study proposes a novel approach combining Multimodal Deep Learning with intrinsic eXplainable Artificial Intelligence techniques to predict pat...
Functional limitation after lung resection surgery has been consistently documented in clinical studies, and right ventricle (RV) dysfunction has be...
Accurate lung tumor segmentation is crucial for improving diagnosis, treatment planning, and patient outcomes in oncology. However, the complexity o...
Medical audio signals, such as heart and lung sounds, play a crucial role in clinical diagnosis. However, analyzing these signals remains challengin...
BACKGROUND: The growing demand for follow-up imaging highlights the need for tools supporting the assessment of pulmonary nodules over time. We evalua...
BACKGROUND: Classification of the etiologies of pleural effusion is a critical challenge in clinical practice. Traditional diagnostic methods rely on ...
Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTB), remains a major global health threat, compounded by the rise of extensively drug-resist...
Chronic diseases, including diabetes, hypertension, asthma, HIV-AIDS, epilepsy, and tuberculosis, necessitate rigorous adherence to medication to av...