Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example
Aim: We aimed to test whether and how ChatGPT understood the epidemiological problems related to fluoride intake and whether ChatGPT could produce novel and feasible hypotheses to tackle the challenges in the research for the disorders caused by a deficient or excessive fluoride intake. Material and...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Ecotoxicology and Environmental Safety |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651325001411 |
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| author | Wei Wei Tianshu Gu Yanhong Cao Shuqiu Sun Dan Wei Minghui Li Alyce D. Fly Weikuan Gu Lan Yao Dianjun Sun |
| author_facet | Wei Wei Tianshu Gu Yanhong Cao Shuqiu Sun Dan Wei Minghui Li Alyce D. Fly Weikuan Gu Lan Yao Dianjun Sun |
| author_sort | Wei Wei |
| collection | DOAJ |
| description | Aim: We aimed to test whether and how ChatGPT understood the epidemiological problems related to fluoride intake and whether ChatGPT could produce novel and feasible hypotheses to tackle the challenges in the research for the disorders caused by a deficient or excessive fluoride intake. Material and methods: We designed a set of questions to evaluate the knowledge of ChatGPT version 4o on the epidemiological problems related to fluoride intake. Three evaluators then reviewed these answers. We then requested ChatGPT4o to produce hypotheses for the eight disorders related to insufficient or excessive fluoride intake. These hypotheses were then evaluated independently by three evaluators. Finally, summaries were made through group discussions among all the authors. Results: For the three questions on basic knowledge about the effect of fluoride on public health, the answers from ChatGPT were rated as excellent or good. For the 12 answers from ChatGPT to the epidemiological questions, 8 out of 12 answers were graded A, as excellent. Four answers were rated as B for good. The descriptions provided by ChatGPT on the effects of fluoride intake were comprehensive and well-structured. Six out of 8 answers were graded as excellent and the other 2 as good. ChatGPT proposed a hypothesis for each of the 8 disorders that are caused by either a deficiency or excess level of fluoride. Four hypotheses were rated as novel and feasible. Three hypotheses were considered relatively new and feasible. Only one hypothesis was regarded as an established hypothesis. Conclusion: As AI technology develops, it can assist health professionals in understanding the disorders and researchers in their work on the mechanisms behind the disorders caused by insufficient or excessive fluoride intake. |
| format | Article |
| id | doaj-art-3dd75da4461346adaeeeb0e95f88900e |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-3dd75da4461346adaeeeb0e95f88900e2025-02-06T05:10:57ZengElsevierEcotoxicology and Environmental Safety0147-65132025-02-01291117805Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the exampleWei Wei0Tianshu Gu1Yanhong Cao2Shuqiu Sun3Dan Wei4Minghui Li5Alyce D. Fly6Weikuan Gu7Lan Yao8Dianjun Sun9Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center, Memphis, TN, USAKey Laboratory of Etiologic Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health 23618104, 157 Baojian Road, Harbin, Heilongjiang 150081, China; Centre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Education Bureau of Heilongjiang Province &∼ Ministry of Health 23618104, 157 Baojian Road, Harbin, Heilongjiang 150081, ChinaKey Laboratory of Etiologic Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health 23618104, 157 Baojian Road, Harbin, Heilongjiang 150081, China; Centre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Education Bureau of Heilongjiang Province &∼ Ministry of Health 23618104, 157 Baojian Road, Harbin, Heilongjiang 150081, ChinaCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaDepartment of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center, Memphis, TN, USADepartment of Nutrition and Health Science, College of Health, Ball State University, Muncie, IN 47306, USADepartment of Orthopaedic Surgery and BME-Campbell Clinic, University of Tennessee Health Science Center, Memphis, TN, USA; Lt. Col. Luke Weathers, Jr. VA Medical Center, 116 N Pauline St, Memphis, TN 38105, USA; Department of Pharmaceutical Sciences, University of Tennessee Health Science Center, Memphis, TN 38163, USA; Correspondence to: 956 Court Avenue, Memphis, TN 38163, USA.College of Health Management, Harbin Medical University, 157 Baojian Road, Harbin, Heilongjiang 150081, China; Correspondence to: 157 Baojian Road, Harbin, Heilongjiang 150081, China.Key Laboratory of Etiologic Epidemiology, Education Bureau of Heilongjiang Province & Ministry of Health 23618104, 157 Baojian Road, Harbin, Heilongjiang 150081, China; Centre for Endemic Disease Control, Chinese Centre for Disease Control and Prevention, Harbin Medical University, Education Bureau of Heilongjiang Province &∼ Ministry of Health 23618104, 157 Baojian Road, Harbin, Heilongjiang 150081, China; Correspondence to: Dianjun Sun, 157 Baojian Road, Harbin, Heilongjiang 150081, China.Aim: We aimed to test whether and how ChatGPT understood the epidemiological problems related to fluoride intake and whether ChatGPT could produce novel and feasible hypotheses to tackle the challenges in the research for the disorders caused by a deficient or excessive fluoride intake. Material and methods: We designed a set of questions to evaluate the knowledge of ChatGPT version 4o on the epidemiological problems related to fluoride intake. Three evaluators then reviewed these answers. We then requested ChatGPT4o to produce hypotheses for the eight disorders related to insufficient or excessive fluoride intake. These hypotheses were then evaluated independently by three evaluators. Finally, summaries were made through group discussions among all the authors. Results: For the three questions on basic knowledge about the effect of fluoride on public health, the answers from ChatGPT were rated as excellent or good. For the 12 answers from ChatGPT to the epidemiological questions, 8 out of 12 answers were graded A, as excellent. Four answers were rated as B for good. The descriptions provided by ChatGPT on the effects of fluoride intake were comprehensive and well-structured. Six out of 8 answers were graded as excellent and the other 2 as good. ChatGPT proposed a hypothesis for each of the 8 disorders that are caused by either a deficiency or excess level of fluoride. Four hypotheses were rated as novel and feasible. Three hypotheses were considered relatively new and feasible. Only one hypothesis was regarded as an established hypothesis. Conclusion: As AI technology develops, it can assist health professionals in understanding the disorders and researchers in their work on the mechanisms behind the disorders caused by insufficient or excessive fluoride intake.http://www.sciencedirect.com/science/article/pii/S0147651325001411Artificial intelligenceChatGPTFluoride intakePublic health educationFluorosis research hypothesisHuman supervision |
| spellingShingle | Wei Wei Tianshu Gu Yanhong Cao Shuqiu Sun Dan Wei Minghui Li Alyce D. Fly Weikuan Gu Lan Yao Dianjun Sun Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example Ecotoxicology and Environmental Safety Artificial intelligence ChatGPT Fluoride intake Public health education Fluorosis research hypothesis Human supervision |
| title | Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example |
| title_full | Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example |
| title_fullStr | Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example |
| title_full_unstemmed | Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example |
| title_short | Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example |
| title_sort | evaluation of the potential value of artificial intelligence ai in public health using fluoride intake as the example |
| topic | Artificial intelligence ChatGPT Fluoride intake Public health education Fluorosis research hypothesis Human supervision |
| url | http://www.sciencedirect.com/science/article/pii/S0147651325001411 |
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