Latest AI and machine learning research in pulmonology for healthcare professionals.
Non-invasive health monitoring has recently gained a lot of consideration in the modern healthcare s...
Tanzania has adopted artificial intelligence (AI)-assisted chest X-ray screening for tuberculosis (T...
Bovine tuberculosis (bTB) is a chronic zoonotic disease, caused by Mycobacterium bovis which despite...
This study aimed to comprehensively assess the prognostic value of routinely obtained blood-based sy...
Small cell lung cancer (SCLC) is an aggressive pulmonary neuroendocrine carcinoma characterized by r...
Rigorous and reproducible evaluation of lung tissue under different conditions is necessary to inter...
INTRODUCTION: Severe traumatic brain injury (sTBI), is a leading cause of death and disability among...
OBJECTIVE: Accurate detection of adventitious respiratory sounds, such as wheezes and crackles, is e...
OBJECTIVE: To address the limitations of traditional CT-guided pulmonary nodule interventions, such ...
BACKGROUND & AIMS: Transient elastography (TE) is routinely undertaken for non-invasive assessment o...
BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains difficult to diagnose reliably due ...
BACKGROUND: ST-elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity c...
BACKGROUND AND OBJECTIVE: Deformable medical image registration is important for radiotherapy planni...
AIM: CT-based radio-biomarkers could provide non-invasive insights into tumour biology to risk-strat...
The study addresses the increasing resistance to the FDA-approved drug Bedaquiline (BDQ) in Mycobact...
Wastewater treatment plants operate under highly variable influent conditions, challenging process c...
BACKGROUND: Tuberculosis-diabetes mellitus (TB-DM) multimorbidity significantly increases the risk o...
Lung cancer persists as the predominant oncological cause of mortality globally, underscoring an imp...
BACKGROUND: Computed Tomography (CT) scans allow opportunistic evaluation of body composition. We in...
PURPOSE: To characterize the choroidal morphology across a spectrum of participants affected by norm...
Existing methods of grading atelectasis are typically subjective and not scalable. We aimed to devel...