Celine Anstey , David Ullman , Leon Su , Chuying Su , Chad Siniard , Sierra Simmons , Jesse Edberg , Lance A. Williams III
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Herein, we aimed to create a step-by-step process for clinicians to create customized computer programs for use in everyday practice.</p></div><div><h3>Methods</h3><p>We created a process of inputs to ChatGPT-4<sub>0</sub>, which generated computer programming code. This code was copied and pasted into Notepad (and saved as a Python file) and Google Colaboratory to verify functionality. We validated the durability of our process by repeating it over a 5-day timeframe and by recruiting volunteers to reproduce our outputs using the suggested process.</p></div><div><h3>Results</h3><p>Computer code generated by ChatGPT-4<sub>0</sub> in response to our common language inputs was accurate and durable over time. The code was fully functional in both Python and Colaboratory. Volunteers reproduced our process and outputs with minimal assistance.</p></div><div><h3>Conclusion</h3><p>We analyzed the practical application of ChatGPT-4<sub>0</sub> and artificial intelligence (AI) to perform daily calculations encountered in Transfusion Medicine. Our results provide a proof of concept that people with no programming experience can create customizable solutions for their own facilities. Our future work will expand to the creation of comprehensive and customizable websites designed for each individual user.</p></div>","PeriodicalId":49422,"journal":{"name":"Transfusion and Apheresis Science","volume":"63 6","pages":"Article 104001"},"PeriodicalIF":1.4000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The practical use of artificial intelligence in Transfusion Medicine and Apheresis\",\"authors\":\"Celine Anstey , David Ullman , Leon Su , Chuying Su , Chad Siniard , Sierra Simmons , Jesse Edberg , Lance A. Williams III\",\"doi\":\"10.1016/j.transci.2024.104001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Blood and plasma volume calculations are a daily part of practice for many Transfusion Medicine and Apheresis practitioners. Though many formulas exist, each facility may have their own modifications to consider. ChatGPT (Generative Pre-trained Transformer) provides a new and exciting pathway for those with no programming experience to create personalized programs to meet the demands of daily practice. Additionally, this pathway creates computer programs that provide accurate and reproducible outputs. Herein, we aimed to create a step-by-step process for clinicians to create customized computer programs for use in everyday practice.</p></div><div><h3>Methods</h3><p>We created a process of inputs to ChatGPT-4<sub>0</sub>, which generated computer programming code. This code was copied and pasted into Notepad (and saved as a Python file) and Google Colaboratory to verify functionality. We validated the durability of our process by repeating it over a 5-day timeframe and by recruiting volunteers to reproduce our outputs using the suggested process.</p></div><div><h3>Results</h3><p>Computer code generated by ChatGPT-4<sub>0</sub> in response to our common language inputs was accurate and durable over time. The code was fully functional in both Python and Colaboratory. Volunteers reproduced our process and outputs with minimal assistance.</p></div><div><h3>Conclusion</h3><p>We analyzed the practical application of ChatGPT-4<sub>0</sub> and artificial intelligence (AI) to perform daily calculations encountered in Transfusion Medicine. Our results provide a proof of concept that people with no programming experience can create customizable solutions for their own facilities. Our future work will expand to the creation of comprehensive and customizable websites designed for each individual user.</p></div>\",\"PeriodicalId\":49422,\"journal\":{\"name\":\"Transfusion and Apheresis Science\",\"volume\":\"63 6\",\"pages\":\"Article 104001\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transfusion and Apheresis Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1473050224001721\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transfusion and Apheresis Science","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1473050224001721","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEMATOLOGY","Score":null,"Total":0}
The practical use of artificial intelligence in Transfusion Medicine and Apheresis
Background
Blood and plasma volume calculations are a daily part of practice for many Transfusion Medicine and Apheresis practitioners. Though many formulas exist, each facility may have their own modifications to consider. ChatGPT (Generative Pre-trained Transformer) provides a new and exciting pathway for those with no programming experience to create personalized programs to meet the demands of daily practice. Additionally, this pathway creates computer programs that provide accurate and reproducible outputs. Herein, we aimed to create a step-by-step process for clinicians to create customized computer programs for use in everyday practice.
Methods
We created a process of inputs to ChatGPT-40, which generated computer programming code. This code was copied and pasted into Notepad (and saved as a Python file) and Google Colaboratory to verify functionality. We validated the durability of our process by repeating it over a 5-day timeframe and by recruiting volunteers to reproduce our outputs using the suggested process.
Results
Computer code generated by ChatGPT-40 in response to our common language inputs was accurate and durable over time. The code was fully functional in both Python and Colaboratory. Volunteers reproduced our process and outputs with minimal assistance.
Conclusion
We analyzed the practical application of ChatGPT-40 and artificial intelligence (AI) to perform daily calculations encountered in Transfusion Medicine. Our results provide a proof of concept that people with no programming experience can create customizable solutions for their own facilities. Our future work will expand to the creation of comprehensive and customizable websites designed for each individual user.
期刊介绍：
Transfusion and Apheresis Science brings comprehensive and up-to-date information to physicians and health care professionals involved in the rapidly changing fields of transfusion medicine, hemostasis and apheresis. The journal presents original articles relating to scientific and clinical studies in the areas of immunohematology, transfusion practice, bleeding and thrombotic disorders and both therapeutic and donor apheresis including hematopoietic stem cells. Topics covered include the collection and processing of blood, compatibility testing and guidelines for the use of blood products, as well as screening for and transmission of blood-borne diseases. All areas of apheresis - therapeutic and collection - are also addressed. We would like to specifically encourage allied health professionals in this area to submit manuscripts that relate to improved patient and donor care, technical aspects and educational issues.
Transfusion and Apheresis Science features a "Theme" section which includes, in each issue, a group of papers designed to review a specific topic of current importance in transfusion and hemostasis for the discussion of topical issues specific to apheresis and focuses on the operators'' viewpoint. Another section is "What''s Happening" which provides informal reporting of activities in the field. In addition, brief case reports and Letters to the Editor, as well as reviews of meetings and events of general interest, and a listing of recent patents make the journal a complete source of information for practitioners of transfusion, hemostasis and apheresis science. Immediate dissemination of important information is ensured by the commitment of Transfusion and Apheresis Science to rapid publication of both symposia and submitted papers.
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