Research progress of respiratory disease and idiopathic pulmonary fibrosis based on artificial intelligence

G Zhang, L Luo, L Zhang, Z Liu - Diagnostics, 2023 - mdpi.com
Machine Learning (ML) is an algorithm based on big data, which learns patterns from the
previously observed data through classifying, predicting, and optimizing to accomplish …

The potential role of artificial intelligence in the clinical practice of interstitial lung disease

T Handa - Respiratory Investigation, 2023 - Elsevier
Artificial intelligence (AI) is being widely applied in the field of medicine, in areas such as
drug discovery, diagnostic support, and assistance with medical practice. Among these …

Idiopathic pulmonary fibrosis mortality risk prediction based on artificial intelligence: the CTPF model

X Wu, C Yin, X Chen, Y Zhang, Y Su, J Shi… - Frontiers in …, 2022 - frontiersin.org
Background: Idiopathic pulmonary fibrosis (IPF) needs a precise prediction method for its
prognosis. This study took advantage of artificial intelligence (AI) deep learning to develop a …

Novel artificial intelligence-based technology for chest computed tomography analysis of idiopathic pulmonary fibrosis

T Handa, K Tanizawa, T Oguma, R Uozumi… - Annals of the …, 2022 - atsjournals.org
Rationale: There is a growing need to accurately estimate the prognosis of idiopathic
pulmonary fibrosis (IPF) in clinical practice, given the development of effective drugs for …

Computer-aided diagnosis of pulmonary fibrosis using deep learning and CT images

A Christe, AA Peters, D Drakopoulos… - Investigative …, 2019 - journals.lww.com
Objectives The objective of this study is to assess the performance of a computer-aided
diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution …

Artificial neural network identified the significant genes to distinguish Idiopathic pulmonary fibrosis

Z Li, S Wang, H Zhao, P Yan, H Yuan, M Zhao… - Scientific Reports, 2023 - nature.com
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease that causes
irreversible damage to lung tissue characterized by excessive deposition of extracellular …

[HTML][HTML] ELIPF: Explicit Learning Framework for Pre-Emptive Forecasting, Early Detection and Curtailment of Idiopathic Pulmonary Fibrosis Disease

TP Theodore Armand, MAI Mozumder, KS Carole… - …, 2024 - mdpi.com
(1) Background: Among lung diseases, idiopathic pulmonary fibrosis (IPF) appears to be the
most common type and causes scarring (fibrosis) of the lungs. IPF disease patients are …

Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization-Random forest approach

Y Shi, WK Wong, JG Goldin, MS Brown… - Artificial intelligence in …, 2019 - Elsevier
Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease characterized by an unpredictable
progressive decline in lung function. Natural history of IPF is unknown and the prediction of …

[Retracted] FVC‐NET: An Automated Diagnosis of Pulmonary Fibrosis Progression Prediction Using Honeycombing and Deep Learning

A Yadav, R Saxena, A Kumar, TS Walia… - Computational …, 2022 - Wiley Online Library
Pulmonary fibrosis is a severe chronic lung disease that causes irreversible scarring in the
tissues of the lungs, which results in the loss of lung capacity. The Forced Vital Capacity …

Prediction analysis of idiopathic pulmonary fibrosis progression from OSIC dataset

S Mandal, VE Balas, RN Shaw… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Pulmonary fibrosis is a progressive lungs disease which usually gets worse over time. Once
this disease damages the lungs, it cannot be cured totally. But early detection and proper …