Artificial intelligence and COVID-19 vaccine hesitancy DOI

Sara Kamal Shahsavar,

Arman Alinezhad,

Masoud Keikha

et al.

Vacunas, Journal Year: 2024, Volume and Issue: 26(1), P. 100372 - 100372

Published: Sept. 23, 2024

Artificial intelligence and COVID-19 vaccine hesitancy DOI

Sara Kamal Shahsavar,

Arman Alinezhad,

Masoud Keikha

et al.

Vacunas (English Edition), Journal Year: 2025, Volume and Issue: 26(1), P. 100372 - 100372

Published: Jan. 1, 2025

Citations

0

Assessing the accuracy and efficiency of Chat GPT-4 Omni (GPT-4o) in biomedical statistics DOI Open Access
Anusha Sultan Meo, N. W. Shaikh, Sultan Ayoub Meo

et al.

Saudi Medical Journal, Journal Year: 2024, Volume and Issue: 45(12), P. 1383 - 1390

Published: Dec. 1, 2024

To assess the accuracy of ChatGPT-4 Omni (GPT-4o) in biomedical statistics. The recent novel inauguration Artificial Intelligence ChatGPT-Omni (GPT-4o), has emerged with potential to analyze sophisticated and extensive data sets, challenging expertise statisticians using traditional statistical tools for analysis.

Language: Английский

Citations

3

ChatGPT4 Performance on German CME - friend or foe (trick or treat)? (Preprint) DOI Creative Commons

Christian Burisch,

Abhav Bellary,

Frank Breuckmann

et al.

JMIR Research Protocols, Journal Year: 2024, Volume and Issue: 14, P. e63887 - e63887

Published: Dec. 27, 2024

Background The increasing development and spread of artificial assistive intelligence is opening up new areas application not only in applied medicine but also related fields such as continuing medical education (CME), which part the mandatory training program for doctors Germany. This study aimed to determine whether laypersons can successfully conduct courses specifically physicians with help a large language model (LLM) ChatGPT-4. aims qualitatively quantitatively investigate impact using (AI; ChatGPT) on acquisition credit points German postgraduate education. Objective Using this approach, we wanted test further possible applications AI setting obtain results practical use. Depending results, potential influence LLMs ChatGPT-4 CME will be discussed, example, SWOT (strengths, weaknesses, opportunities, threats) analysis. Methods We designed randomized controlled trial, adult high school students attempt solve tests across six specialties three arms total 18 per arm under different interventional conditions varying amounts permitted use Sample size calculation was performed including guess probability (20% correct answers, SD=40%; confidence level 1–α=.95/α=.05; power 1–β=.95; P<.05). registered at open scientific framework. Results As October 2024, data participate trial ongoing. Upon analysis our acquired data, predict findings ready publication soon early 2025. Conclusions aim prove that advances AI, especially have considerable effects laypersons’ ability pass tests. implications holds how concept continuous requires reevaluation are yet contemplated. Trial Registration OSF Registries 10.17605/OSF.IO/MZNUF; https://osf.io/mznuf International Registered Report Identifier (IRRID) PRR1-10.2196/63887

Language: Английский

Citations

1

Artificial intelligence and COVID-19 vaccine hesitancy DOI

Sara Kamal Shahsavar,

Arman Alinezhad,

Masoud Keikha

et al.

Vacunas, Journal Year: 2024, Volume and Issue: 26(1), P. 100372 - 100372

Published: Sept. 23, 2024

Citations

0