Artificial Intelligence and Big Data for Value-Based Care - Volume II

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ORIGINAL RESEARCH

Published on 22 Dec 2023

An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy of pulmonary nodules and its practical value for patients with different clinical characteristics

Lichuan Zhang
Yue Shao
Guangmei Chen
Simiao Tian
Qing Zhang
Jianlin Wu
Chunxue Bai
Dawei Yang

doi 10.3389/fmed.2023.1286433

1,370 views
1 citation

ORIGINAL RESEARCH

Published on 20 Nov 2023

Applying artificial intelligence to predict falls for inpatient

Ya-Huei Chen
Jia-Lang Xu

doi 10.3389/fmed.2023.1285192

3,688 views
5 citations

ORIGINAL RESEARCH

Published on 03 Nov 2023

Pulmonary disease detection and classification in patient respiratory audio files using long short-term memory neural networks

Pinzhi Zhang
Alagappan Swaminathan
Ahmed Abrar Uddin

doi 10.3389/fmed.2023.1269784

3,651 views
8 citations

ORIGINAL RESEARCH

Published on 19 Oct 2023

Artificial intelligence in global health equity: an evaluation and discussion on the application of ChatGPT, in the Chinese National Medical Licensing Examination

Wenting Tong
Yongfu Guan
Jinping Chen
Xixuan Huang
Yuting Zhong
Changrong Zhang
Hui Zhang

doi 10.3389/fmed.2023.1237432

2,293 views
10 citations

ORIGINAL RESEARCH

Published on 01 Aug 2023

Deep convolutional neural network for rib fracture recognition on chest radiographs

Shu-Tien Huang
Liong-Rung Liu
Hung-Wen Chiu
Ming-Yuan Huang
Ming-Feng Tsai

doi 10.3389/fmed.2023.1178798

1,829 views
10 citations

ORIGINAL RESEARCH

Published on 19 May 2023

Predicting total lung capacity from spirometry: a machine learning approach

Luka Beverin
Marko Topalovic
Armin Halilovic
Paul Desbordes
Wim Janssens
Maarten De Vos

doi 10.3389/fmed.2023.1174631

4,430 views
3 citations

ORIGINAL RESEARCH

Published on 17 May 2023

Developing a nomogram-based scoring model to estimate the risk of pulmonary embolism in respiratory department patients suspected of pulmonary embolisms

Feng Lanfang
Ma Xu
Chen Jun
Zhao Jia
Li Wenchen
Jia Xinghua

doi 10.3389/fmed.2023.1164911

863 views

ORIGINAL RESEARCH

Published on 09 May 2023

Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters

Kuo-Yang Huang
Ying-Lin Hsu
Huang-Chi Chen
Ming-Hwarng Horng
Che-Liang Chung
Ching-Hsiung Lin
Jia-Lang Xu
Ming-Hon Hou

doi 10.3389/fmed.2023.1167445

3,386 views
6 citations

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Frontiers in Medicine

Family Medicine and Primary Care
Pulmonary Medicine

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Articles

An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy of pulmonary nodules and its practical value for patients with different clinical characteristics

Applying artificial intelligence to predict falls for inpatient

Pulmonary disease detection and classification in patient respiratory audio files using long short-term memory neural networks

Artificial intelligence in global health equity: an evaluation and discussion on the application of ChatGPT, in the Chinese National Medical Licensing Examination

Deep convolutional neural network for rib fracture recognition on chest radiographs

Predicting total lung capacity from spirometry: a machine learning approach

Developing a nomogram-based scoring model to estimate the risk of pulmonary embolism in respiratory department patients suspected of pulmonary embolisms

Developing a machine-learning model for real-time prediction of successful extubation in mechanically ventilated patients using time-series ventilator-derived parameters

Frontiers in Medicine

Family Medicine and Primary Care

Pulmonary Medicine