Assessing the performance of GPT-4 in the filed of osteoarthritis and orthopaedic case consultation DOI Open Access

J. Li,

Xiang Gao,

Tianxu Dou

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 9, 2023

Abstract Background Large Language Models (LLMs) like GPT-4 demonstrate potential applications in diverse areas, including healthcare and patient education. This study evaluates GPT-4’s competency against osteoarthritis (OA) treatment guidelines from the United States China assesses its ability diagnosing treating orthopedic diseases. Methods Data sources included OA management examination case questions. Queries were directed to based on these resources, responses compared with established cases. The accuracy completeness of evaluated using Likert scales, while inquiries stratified into four tiers correctness completeness. Results exhibited strong performance providing accurate complete recommendations both American Chinese guidelines, high scale scores for It demonstrated proficiency handling clinical cases, making diagnoses, suggesting appropriate tests, proposing plans. Few errors noted specific complex Conclusions exhibits as an auxiliary tool practice education, demonstrating interpreting analyzing Further validation capabilities real-world scenarios is needed.

Language: Английский

Evaluation of the performance of GPT-3.5 and GPT-4 on the Polish Medical Final Examination DOI Creative Commons
Maciej Rosoł, Jakub S. Gąsior,

Jonasz Łaba

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Nov. 22, 2023

Abstract The study aimed to evaluate the performance of two Large Language Models (LLMs): ChatGPT (based on GPT-3.5) and GPT-4 with temperature parameter values, Polish Medical Final Examination (MFE). models were tested three editions MFE from: Spring 2022, Autumn 2023 in language versions—English Polish. accuracies both compared relationships between correctness answers answer’s metrics investigated. demonstrated that outperformed GPT-3.5 all examinations regardless used. achieved mean 79.7% for English versions, passing versions. had 54.8% 60.3% English, none 2 3 versions equal 0 1 respectively while value. score was mostly lower than average a medical student. There statistically significant correlation index difficulty models. overall accuracy still suboptimal worse students. This emphasizes need further improvements LLMs before they can be reliably deployed settings. These findings suggest an increasing potential usage terms education.

Language: Английский

Citations

88
Artificial intelligence in orthopaedic surgery DOI Creative Commons
Anthony Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis

et al.

Bone and Joint Research, Journal Year: 2023, Volume and Issue: 12(7), P. 447 - 454

Published: July 10, 2023

The use of artificial intelligence (AI) is rapidly growing across many domains, which the medical field no exception. AI an umbrella term defining practical application algorithms to generate useful output, without need human cognition. Owing expanding volume patient information collected, known as 'big data', showing promise a tool in healthcare research and all aspects care pathways. Practical applications orthopaedic surgery include: diagnostics, such fracture recognition tumour detection; predictive models clinical patient-reported outcome measures, calculating mortality rates length hospital stay; real-time rehabilitation monitoring surgical training. However, clinicians should remain cognizant AI's limitations, development robust reporting validation frameworks paramount importance prevent avoidable errors biases. aim this review article provide comprehensive understanding its subfields, well delineate existing trauma surgery. Furthermore, narrative expands upon limitations future direction.

Language: Английский

Citations

66
Radiology Gets Chatty: The ChatGPT Saga Unfolds DOI Open Access
H.S. Grewal, Gagandeep Dhillon, Varun Monga

et al.

Cureus, Journal Year: 2023, Volume and Issue: unknown

Published: June 8, 2023

As artificial intelligence (AI) continues to evolve and mature, it is increasingly finding applications in the field of healthcare, particularly specialties like radiology that are data-heavy image-focused. Language learning models (LLMs) such as OpenAI's Generative Pre-trained Transformer-4 (GPT-4) new medicine there a paucity literature regarding possible utilities GPT-4 given its novelty. We aim present an in-depth exploration role GPT-4, advanced language model, radiology. Giving model prompts for generating reports, template generation, enhancing clinical decision-making, suggesting captivating titles research articles, patient communication, education, can occasionally be quite generic, at times, may factually incorrect content, which could lead errors. The responses were then analyzed detail their potential utility day-to-day radiologist workflow, processes. Further required evaluate LLMs' accuracy safety practice develop comprehensive guidelines implementation.

Language: Английский

Citations

55
Digital technologies in sports: Opportunities, challenges, and strategies for safeguarding athlete wellbeing and competitive integrity in the digital era DOI

Yufei Qi,

S. Mohammad Sajadi,

Shaghayegh Baghaei

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102496 - 102496

Published: March 6, 2024

Language: Английский

Citations

31
Artificial Intelligence in Intensive Care Medicine: Toward a ChatGPT/GPT-4 Way? DOI Open Access
Yanqiu Lu, Haiyang Wu,

Shaoyan Qi

et al.

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(9), P. 1898 - 1903

Published: May 13, 2023

Language: Английский

Citations

33
Artificial intelligence in liver cancer — new tools for research and patient management DOI
Julien Caldéraro, Laura Žigutytė, Daniel Truhn

et al.

Nature Reviews Gastroenterology & Hepatology, Journal Year: 2024, Volume and Issue: 21(8), P. 585 - 599

Published: April 16, 2024

Language: Английский

Citations

12
Can ChatGPT be Trusted for Consulting? Uncovering Doctor’s Perceptions Using Deep Learning Techniques DOI
Praveen SV, Vajratiya Vajrobol

Annals of Biomedical Engineering, Journal Year: 2023, Volume and Issue: 51(10), P. 2116 - 2119

Published: May 19, 2023

Language: Английский

Citations

18
The AI coach DOI Open Access
Ramon Carlo Masagca

Journal of Human Sport and Exercise, Journal Year: 2024, Volume and Issue: 20(1), P. 39 - 56

Published: Aug. 6, 2024

The study aims to investigate the effect of a 5-week artificial intelligence-generated calisthenics training program (AIGCTP) on health-related physical fitness components, including flexibility, cardiovascular endurance, and muscular endurance. Utilizing quasi-experimental design, employed one-group pre-test-post-test design for within-group comparisons two-group between-group comparisons. Participants included 87 untrained collegiate students, divided into AIGCTP group (43 participants) human-made (HMCTP) (44 participants), selected via purposive sampling. A paired t-test was used comparisons, an independent sample findings indicated that effectively improved flexibility lower extremities endurance core upper extremities. However, female participants did not show significant improvements in any whereas male demonstrated HMCTP effective improving all participants. Between-group revealed significantly superior group, irrespective sex. Additionally, males exhibited higher compared those group. suggests AI can be training, but professional-made programs are some areas. Future research should replicate these findings, examine more explore longer durations further validation.

Language: Английский

Citations

7
Application of Artificial Intelligence in rehabilitation science: A scientometric investigation Utilizing Citespace DOI Creative Commons
Yang Ren, Qiong Yuan,

Wuwu Zhang

et al.

SLAS TECHNOLOGY, Journal Year: 2024, Volume and Issue: 29(4), P. 100162 - 100162

Published: July 4, 2024

This study presents a scientometric analysis of the intersection between rehabilitation science and artificial intelligence (AI) technologies, using data from Web Science (WOS) database 2002 to 2022. The employed comprehensive search query with key AI-related terms, focusing on wide range publications in science. Utilizing Citespace tool, visualizes quantifies relationships identifies research trends, assesses impact AI technologies Findings reveal significant increase this field, particularly 2017 onwards, peaking 2021. United States has been leading contributor, followed by countries like England, Australia, Germany, Canada. Major institutional contributions come Harvard University Pennsylvania Commonwealth System Higher Education, among others. A keyword co-occurrence network constructed through nine distinct hot topics various frontiers, highlighting evolving focus areas within field. Burst keywords indicates shift performance injury-related an increasing emphasis deep learning recent years. also predicts potential papers, spotlighting works Kunze KN others as significantly influencing future directions. Additionally, it examines evolution knowledge bases research, revealing multidisciplinary core that includes neurology, rehabilitation, ophthalmology, extending complementary fields such medicine social sciences. provides overview AI's application science, offering insights into its evolution, impact, emerging trends over past two decades. findings suggest strategic directions for policy-making, interdisciplinary collaboration AI.

Language: Английский

Citations

6
Evaluation of the performance of GPT-3.5 and GPT-4 on the Medical Final Examination DOI Creative Commons
Maciej Rosoł, Jakub S. Gąsior,

Jonasz Łaba

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 5, 2023

Abstract Introduction The rapid progress in artificial intelligence, machine learning, and natural language processing has led to the emergence of increasingly sophisticated large models (LLMs) enabling their use various applications, including medicine healthcare. Objectives study aimed evaluate performance two LLMs: ChatGPT (based on GPT-3.5) GPT-4, Medical Final Examination (MFE). Methods were tested three editions MFE from: Spring 2022, Autumn 2023 versions – English Polish. accuracies both compared relationships between correctness answers with index difficulty discrimination power investigated. Results demonstrated that GPT-4 outperformed GPT-3.5 all examinations regardless used. achieved mean 80.7% for Polish 79.6% English, passing versions. had 56.6% 58.3% 2 3 test. score was lower than average a medical student. There significant positive negative correlation index, respectively, exams. Conclusions These findings contribute growing body literature utility LLMs medicine. They also suggest an increasing potential usage terms education decision-making support. What’s new? Recent advancements intelligence have resulted development (LLMs). This focused evaluation LLMs, across from editions. study, best our knowledge, presents first validation those European-based final examinations. exams, achieving accuracy (Polish) (English), while attained (English) respectively. However, GPT-4’s scores fell short typical student performance. understanding LLM’s hint at

Language: Английский

Citations

15