AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat
Patients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent complications such as hyperkalemia and hyperphosphatemia. A comprehensive assessment of food components is pivotal, yet burdensome for healthcare providers. With evolving artificial intelligence (AI) technology...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Clinics and Practice |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2039-7283/13/5/104 |
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| author | Ahmad Qarajeh Supawit Tangpanithandee Charat Thongprayoon Supawadee Suppadungsuk Pajaree Krisanapan Noppawit Aiumtrakul Oscar A. Garcia Valencia Jing Miao Fawad Qureshi Wisit Cheungpasitporn |
| author_facet | Ahmad Qarajeh Supawit Tangpanithandee Charat Thongprayoon Supawadee Suppadungsuk Pajaree Krisanapan Noppawit Aiumtrakul Oscar A. Garcia Valencia Jing Miao Fawad Qureshi Wisit Cheungpasitporn |
| author_sort | Ahmad Qarajeh |
| collection | DOAJ |
| description | Patients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent complications such as hyperkalemia and hyperphosphatemia. A comprehensive assessment of food components is pivotal, yet burdensome for healthcare providers. With evolving artificial intelligence (AI) technology, models such as ChatGPT, Bard AI, and Bing Chat can be instrumental in educating patients and assisting professionals. To gauge the efficacy of different AI models in discerning potassium and phosphorus content in foods, four AI models—ChatGPT 3.5, ChatGPT 4, Bard AI, and Bing Chat—were evaluated. A total of 240 food items, curated from the <i>Mayo Clinic Renal Diet Handbook</i> for CKD patients, were input into each model. These items were characterized by their potassium (149 items) and phosphorus (91 items) content. Each model was tasked to categorize the items into high or low potassium and high phosphorus content. The results were juxtaposed with the <i>Mayo Clinic Renal Diet Handbook’s</i> recommendations. The concordance between repeated sessions was also evaluated to assess model consistency. Among the models tested, ChatGPT 4 displayed superior performance in identifying potassium content, correctly classifying 81% of the foods. It accurately discerned 60% of low potassium and 99% of high potassium foods. In comparison, ChatGPT 3.5 exhibited a 66% accuracy rate. Bard AI and Bing Chat models had an accuracy rate of 79% and 81%, respectively. Regarding phosphorus content, Bard AI stood out with a flawless 100% accuracy rate. ChatGPT 3.5 and Bing Chat recognized 85% and 89% of the high phosphorus foods correctly, while ChatGPT 4 registered a 77% accuracy rate. Emerging AI models manifest a diverse range of accuracy in discerning potassium and phosphorus content in foods suitable for CKD patients. ChatGPT 4, in particular, showed a marked improvement over its predecessor, especially in detecting potassium content. The Bard AI model exhibited exceptional precision for phosphorus identification. This study underscores the potential of AI models as efficient tools in renal dietary planning, though refinements are warranted for optimal utility. |
| first_indexed | 2024-03-10T21:20:57Z |
| format | Article |
| id | doaj.art-b7bb5bf027f54d71ab0aeb2c173200e8 |
| institution | Directory Open Access Journal |
| issn | 2039-7283 |
| language | English |
| last_indexed | 2024-03-10T21:20:57Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Clinics and Practice |
| spelling | doaj.art-b7bb5bf027f54d71ab0aeb2c173200e82023-11-19T16:07:23ZengMDPI AGClinics and Practice2039-72832023-09-011351160117210.3390/clinpract13050104AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing ChatAhmad Qarajeh0Supawit Tangpanithandee1Charat Thongprayoon2Supawadee Suppadungsuk3Pajaree Krisanapan4Noppawit Aiumtrakul5Oscar A. Garcia Valencia6Jing Miao7Fawad Qureshi8Wisit Cheungpasitporn9Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADepartment of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USADivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USAPatients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent complications such as hyperkalemia and hyperphosphatemia. A comprehensive assessment of food components is pivotal, yet burdensome for healthcare providers. With evolving artificial intelligence (AI) technology, models such as ChatGPT, Bard AI, and Bing Chat can be instrumental in educating patients and assisting professionals. To gauge the efficacy of different AI models in discerning potassium and phosphorus content in foods, four AI models—ChatGPT 3.5, ChatGPT 4, Bard AI, and Bing Chat—were evaluated. A total of 240 food items, curated from the <i>Mayo Clinic Renal Diet Handbook</i> for CKD patients, were input into each model. These items were characterized by their potassium (149 items) and phosphorus (91 items) content. Each model was tasked to categorize the items into high or low potassium and high phosphorus content. The results were juxtaposed with the <i>Mayo Clinic Renal Diet Handbook’s</i> recommendations. The concordance between repeated sessions was also evaluated to assess model consistency. Among the models tested, ChatGPT 4 displayed superior performance in identifying potassium content, correctly classifying 81% of the foods. It accurately discerned 60% of low potassium and 99% of high potassium foods. In comparison, ChatGPT 3.5 exhibited a 66% accuracy rate. Bard AI and Bing Chat models had an accuracy rate of 79% and 81%, respectively. Regarding phosphorus content, Bard AI stood out with a flawless 100% accuracy rate. ChatGPT 3.5 and Bing Chat recognized 85% and 89% of the high phosphorus foods correctly, while ChatGPT 4 registered a 77% accuracy rate. Emerging AI models manifest a diverse range of accuracy in discerning potassium and phosphorus content in foods suitable for CKD patients. ChatGPT 4, in particular, showed a marked improvement over its predecessor, especially in detecting potassium content. The Bard AI model exhibited exceptional precision for phosphorus identification. This study underscores the potential of AI models as efficient tools in renal dietary planning, though refinements are warranted for optimal utility.https://www.mdpi.com/2039-7283/13/5/104chronic kidney diseaseCKDrenal dietshyperkalemiahyperphosphatemiaAI technology |
| spellingShingle | Ahmad Qarajeh Supawit Tangpanithandee Charat Thongprayoon Supawadee Suppadungsuk Pajaree Krisanapan Noppawit Aiumtrakul Oscar A. Garcia Valencia Jing Miao Fawad Qureshi Wisit Cheungpasitporn AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat Clinics and Practice chronic kidney disease CKD renal diets hyperkalemia hyperphosphatemia AI technology |
| title | AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat |
| title_full | AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat |
| title_fullStr | AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat |
| title_full_unstemmed | AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat |
| title_short | AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat |
| title_sort | ai powered renal diet support performance of chatgpt bard ai and bing chat |
| topic | chronic kidney disease CKD renal diets hyperkalemia hyperphosphatemia AI technology |
| url | https://www.mdpi.com/2039-7283/13/5/104 |
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