Latest AI and machine learning research in pulmonology for healthcare professionals.
This study presents a comprehensive investigation of alcohol molecules in the gas phase using oxygen...
Drug-induced lung injury (DLI) is a serious and potentially fatal adverse drug reaction that remains...
PURPOSE OF REVIEW: The review examines the application of machine learning (ML) and large language m...
ETHNOPHARMACOLOGICAL RELEVANCE: Shuanghuanglian Injection (SHLI) is a traditional Chinese medicine f...
BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary n...
The fundamental operational range of cyborg insects, which are hybrid robots that combine a living i...
BACKGROUND: Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality in chil...
OBJECTIVES: This study aimed to systematically evaluate whether glycemic variability (GV) could prov...
BACKGROUND: Ovarian cancer patients requiring intensive care unit (ICU) admission face particularly ...
OBJECTIVE: This study aims to develop a machine learning model for predicting whether patients will ...
AIMS: Prognosis in tricuspid regurgitation (TR) is shaped by complex clinical and hemodynamic intera...
INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a ...
BACKGROUND: Body composition is emerging as a prognostic biomarker in cancer and may be associated w...
Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carc...
PURPOSE: The purpose of this study was to develop an artificial intelligence (AI) tool to assist rec...
The technical implementation of volumetric magnetic resonance imaging (MRI) has the potential to sub...
Resilin and resilin-like proteins (RLPs) provide a programmable platform for bioinspired soft materi...
This study aimed to develop and validate a machine learning (ML)-based predictive model to identify ...
BACKGROUND: Shared decision-making (SDM) is a cornerstone of patient-centred care, yet it has been u...
Thermal instability and uncontrolled defect dynamics continue to be major obstacles to the reliable ...
Artificial intelligence (AI) has progressed across multiple scientific disciplines, particularly tra...