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Chunxue Bai

Shanghai University

Publishes on Chronic Obstructive Pulmonary Disease (COPD) Research, Respiratory Support and Mechanisms, COVID-19 diagnosis using AI. 61 papers and 1.6k citations.

61Publications
1.6kTotal Citations

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Top publicationsby citations

Towards the elimination of chronic obstructive pulmonary disease: a Lancet Commission
Cited by 638Open Access

the development of curative and regenerative therapies that go beyond the largely symptomatic treatment options available; and (6) deployment of public health preventive strategies for banning smoking and maintaining clean air. We are fully cognisant that the scientific evidence to support some of our proposals is lacking. However, it is the intention of the Commission to generate discourse and debate, catalyse momentum, and provide a much-needed new vision to set the course towards the elimination of COPD.

Chinese experts’ consensus on the Internet of Things-aided diagnosis and treatment of coronavirus disease 2019 (COVID-19)
Li Bai, Dawei Yang, Xun Wang et al.|Clinical eHealth|2020
Cited by 224Open Access

The aim is to diagnose COVID-19 earlier and to improve its treatment by applying medical technology, the “COVID-19 Intelligent Diagnosis and Treatment Assistant Program (nCapp)” based on the Internet of Things. Terminal eight functions can be implemented in real-time online communication with the “cloud” through the page selection key. According to existing data, questionnaires, and check results, the diagnosis is automatically generated as confirmed, suspected, or suspicious of 2019 novel coronavirus (2019-nCoV) infection. It classifies patients into mild, moderate, severe or critical pneumonia. nCapp can also establish an online COVID-19 real-time update database, and it updates the model of diagnosis in real time based on the latest real-world case data to improve diagnostic accuracy. Additionally, nCapp can guide treatment. Front-line physicians, experts, and managers are linked to perform consultation and prevention. nCapp also contributes to the long-term follow-up of patients with COVID-19. The ultimate goal is to enable different levels of COVID-19 diagnosis and treatment among different doctors from different hospitals to upgrade to the national and international through the intelligent assistance of the nCapp system. In this way, we can block disease transmission, avoid physician infection, and epidemic prevention and control as soon as possible.

The metaverse in current digital medicine
Mengting Sun, Linshan Xie, Yang Liu et al.|Clinical eHealth|2022
Cited by 104Open Access

The metaverse has entered people's horizons through virtual reality, digital twinning, the Internet of Things, blockchain technology, etc. In the current healthcare system, the management of chronic diseases, such as chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea-hypopnea syndrome (OSAHS), still faces challenges, such as uneven distribution of medical resources, and difficulty in follow-up, overburdening of specialists, and so on. However, metaverse medical platforms incorporating advanced AI technologies, such as industrial-scale digital twins, may address these issues. In this article, we discuss the application prospect of these technologies in digital medicine and the future of the medical metaverse.

Prospect and application of Internet of Things technology for prevention of SARIs
Yuanlin Song, Jinjun Jiang, Xun Wang et al.|Clinical eHealth|2020
Cited by 83Open Access

The Internet of Things (IoT) includes three core procedures: full spectrum perception, reliable transmission, and intelligent processing. It can be applied for the prevention and control of SARI (severe acute respiratory infection). By combining sensors, information technology, artificial intelligence, and available dynamic networking devices, IoT could realize long-distance communication between hospitals, patients, and medical devices, which could ultimately improve current medical conditions.