Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study
by
Naser, Farah Hasson
, Kaftan, Ahmed Naseer
, Hussain, Majid Kadhum
in
639/705/258
/ 692/700/139
/ Accuracy
/ Artificial intelligence
/ Artificial intelligence models
/ Biochemical parameters
/ Chatbots
/ ChatGPT-3.5
/ Cholesterol
/ Copilot
/ Creatinine
/ Data interpretation
/ Gemini
/ High density lipoprotein
/ Humanities and Social Sciences
/ Interpretation
/ Kidneys
/ Laboratories
/ Low density lipoprotein
/ multidisciplinary
/ Science
/ Science (multidisciplinary)
/ Triglycerides
/ Urea
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study
by
Naser, Farah Hasson
, Kaftan, Ahmed Naseer
, Hussain, Majid Kadhum
in
639/705/258
/ 692/700/139
/ Accuracy
/ Artificial intelligence
/ Artificial intelligence models
/ Biochemical parameters
/ Chatbots
/ ChatGPT-3.5
/ Cholesterol
/ Copilot
/ Creatinine
/ Data interpretation
/ Gemini
/ High density lipoprotein
/ Humanities and Social Sciences
/ Interpretation
/ Kidneys
/ Laboratories
/ Low density lipoprotein
/ multidisciplinary
/ Science
/ Science (multidisciplinary)
/ Triglycerides
/ Urea
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study
by
Naser, Farah Hasson
, Kaftan, Ahmed Naseer
, Hussain, Majid Kadhum
in
639/705/258
/ 692/700/139
/ Accuracy
/ Artificial intelligence
/ Artificial intelligence models
/ Biochemical parameters
/ Chatbots
/ ChatGPT-3.5
/ Cholesterol
/ Copilot
/ Creatinine
/ Data interpretation
/ Gemini
/ High density lipoprotein
/ Humanities and Social Sciences
/ Interpretation
/ Kidneys
/ Laboratories
/ Low density lipoprotein
/ multidisciplinary
/ Science
/ Science (multidisciplinary)
/ Triglycerides
/ Urea
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study
Journal Article
Response accuracy of ChatGPT 3.5 Copilot and Gemini in interpreting biochemical laboratory data a pilot study
2024
Request Book From Autostore
and Choose the Collection Method
Overview
With the release of ChatGPT at the end of 2022, a new era of thinking and technology use has begun. Artificial intelligence models (AIs) like Gemini (Bard), Copilot (Bing), and ChatGPT-3.5 have the potential to impact every aspect of our lives, including laboratory data interpretation. To assess the accuracy of ChatGPT-3.5, Copilot, and Gemini responses in evaluating biochemical data. Ten simulated patients' biochemical laboratory data, including serum urea, creatinine, glucose, cholesterol, triglycerides, low-density lipoprotein (LDL-c), and high-density lipoprotein (HDL-c), in addition to HbA1c, were interpreted by three AIs: Copilot, Gemini, and ChatGPT-3.5, followed by evaluation with three raters. The study was carried out using two approaches. The first encompassed all biochemical data. The second contained only kidney function data. The first approach indicated Copilot to have the highest level of accuracy, followed by Gemini and ChatGPT-3.5. Friedman and Dunn's post-hoc test revealed that Copilot had the highest mean rank; the pairwise comparisons revealed significant differences for Copilot vs. ChatGPT-3.5 (
P
= 0.002) and Gemini (
P
= 0.008). The second approach exhibited Copilot to have the highest accuracy of performance. The Friedman test with Dunn's post-hoc analysis showed Copilot to have the highest mean rank. The Wilcoxon Signed-Rank Test demonstrated an indistinguishable response (
P
= 0.5) of Copilot when all laboratory data were applied vs. the application of only kidney function data. Copilot is more accurate in interpreting biochemical data than Gemini and ChatGPT-3.5. Its consistent responses across different data subsets highlight its reliability in this context.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
This website uses cookies to ensure you get the best experience on our website.