A narrative review of applications and enhancements of ChatGPT in respiratory medicine
ChatGPT, a chatbot program pioneered by OpenAI and launched on 2022, stands alongside other notable large language models (LLMs) such as Google’s Bard Model and Baidu’s ERNIE Bot Model. These AI-powered tools have become integral to daily life, exerting considerable influence. Recently, AI’s medical...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Clinical eHealth |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588914124000194 |
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| author | Jun Qi Lin Zi Xuan Hua Liu Zhang Ying Ni Lin Yong Jie Ding Xi Xi Chen Shi Qi Li Yi Wang Qing Yun Li |
| author_facet | Jun Qi Lin Zi Xuan Hua Liu Zhang Ying Ni Lin Yong Jie Ding Xi Xi Chen Shi Qi Li Yi Wang Qing Yun Li |
| author_sort | Jun Qi Lin |
| collection | DOAJ |
| description | ChatGPT, a chatbot program pioneered by OpenAI and launched on 2022, stands alongside other notable large language models (LLMs) such as Google’s Bard Model and Baidu’s ERNIE Bot Model. These AI-powered tools have become integral to daily life, exerting considerable influence. Recently, AI’s medical applications gain traction as momentum grows. Meanwhile. chronic respiratory diseases pose a substantial global health burden, affecting nearly 550 million people in 2017, an increase of 39.8% compared to 1990. They remain a leading cause of death and disability worldwide, second only to cardiovascular diseases and cancer. The respiratory field grapples with unmet needs like antibiotic and anti-tuberculosis drug resistance, respiratory epidemics, and high prevalence of lung tumors, etc. Although the utilization of ChatGPT in medicine has been actively explored, its application in respiratory medicine remains in the early stages. In this context, we outline ChatGPT’s current respiratory medicine applications, address potential limitations, and envision future avenues for its advancement and development. |
| format | Article |
| id | doaj-art-a52ba8e521774452ba50823ffbffe138 |
| institution | DOAJ |
| issn | 2588-9141 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Clinical eHealth |
| spelling | doaj-art-a52ba8e521774452ba50823ffbffe1382025-08-20T02:55:12ZengKeAi Communications Co., Ltd.Clinical eHealth2588-91412024-12-01720020610.1016/j.ceh.2024.12.006A narrative review of applications and enhancements of ChatGPT in respiratory medicineJun Qi Lin0Zi Xuan Hua1Liu Zhang2Ying Ni Lin3Yong Jie Ding4Xi Xi Chen5Shi Qi Li6Yi Wang7Qing Yun Li8Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, ChinaDepartment of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Corresponding author at: Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.ChatGPT, a chatbot program pioneered by OpenAI and launched on 2022, stands alongside other notable large language models (LLMs) such as Google’s Bard Model and Baidu’s ERNIE Bot Model. These AI-powered tools have become integral to daily life, exerting considerable influence. Recently, AI’s medical applications gain traction as momentum grows. Meanwhile. chronic respiratory diseases pose a substantial global health burden, affecting nearly 550 million people in 2017, an increase of 39.8% compared to 1990. They remain a leading cause of death and disability worldwide, second only to cardiovascular diseases and cancer. The respiratory field grapples with unmet needs like antibiotic and anti-tuberculosis drug resistance, respiratory epidemics, and high prevalence of lung tumors, etc. Although the utilization of ChatGPT in medicine has been actively explored, its application in respiratory medicine remains in the early stages. In this context, we outline ChatGPT’s current respiratory medicine applications, address potential limitations, and envision future avenues for its advancement and development.http://www.sciencedirect.com/science/article/pii/S2588914124000194Respiratory medicineChatGPTArtificial intelligence |
| spellingShingle | Jun Qi Lin Zi Xuan Hua Liu Zhang Ying Ni Lin Yong Jie Ding Xi Xi Chen Shi Qi Li Yi Wang Qing Yun Li A narrative review of applications and enhancements of ChatGPT in respiratory medicine Clinical eHealth Respiratory medicine ChatGPT Artificial intelligence |
| title | A narrative review of applications and enhancements of ChatGPT in respiratory medicine |
| title_full | A narrative review of applications and enhancements of ChatGPT in respiratory medicine |
| title_fullStr | A narrative review of applications and enhancements of ChatGPT in respiratory medicine |
| title_full_unstemmed | A narrative review of applications and enhancements of ChatGPT in respiratory medicine |
| title_short | A narrative review of applications and enhancements of ChatGPT in respiratory medicine |
| title_sort | narrative review of applications and enhancements of chatgpt in respiratory medicine |
| topic | Respiratory medicine ChatGPT Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2588914124000194 |
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