A5068013342- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Mycobacterium research and diagnosis
- Bacterial Identification and Susceptibility Testing
South China University of Technology
2024
Southern Medical University
2022-2024
Zhujiang Hospital
2022-2024
Currently, the diagnosis of invasive pulmonary aspergillosis (IPA) mainly depends on integration clinical, radiological and microbiological data. Artificial intelligence (AI) has shown great advantages in dealing with data-rich biological medical challenges, but literature IPA is rare.This study aimed to provide a non-invasive, objective easy-to-use AI approach for early IPA.We generated prototype diagnostic deep learning model (IPA-NET) comprising three interrelated computation modules...
Abstract Background The role of artificial intelligence (AI) in the discrimination between pulmonary cryptococcosis (PC) and lung adenocarcinoma (LA) warrants further research. Objectives To compare performances AI models with clinicians distinguishing PC from LA on chest CT. Methods Patients diagnosed confirmed or were retrospectively recruited three tertiary hospitals Guangzhou. A deep learning framework was employed to develop two models: an undelineated supervised training (UST) model...