Dokuz Eylül University

Medical artificial intelligence readiness scale for medical students (MAIRS-MS) – development, validity and reliability study

Ozan Karaca, S. Ayhan Çalışkan, Kadir Demir

2021 · 275 Zit.

Assessment of readability, reliability, and quality of ChatGPT®, BARD®, Gemini®, Copilot®, Perplexity® responses on palliative care

Volkan Hancı, Bişar Ergün, Şanser Gül et al.

2024 · 64 Zit.

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

Edward De Brouwer, Thijs Becker, Yves Moreau et al.

2021 · 41 Zit.

Investigation of nurses’ general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors

Gülsüm Zekiye Tuncer, Metin Tuncer

2024 · 33 Zit.

Exploring the Role of ChatGPT-4, BingAI, and Gemini as Virtual Consultants to Educate Families about Retinopathy of Prematurity

Ceren Durmaz Engin, Ezgi Karatas, Taylan Öztürk

2024 · 33 Zit.

Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain

Erkan Özduran, Volkan Hancı, Yüksel Erkin et al.

2025 · 32 Zit.

Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain

Erkan Özduran, İbrahim Akkoç, Sibel Büyükçoban et al.

2025 · 32 Zit.

Assessing the readability, reliability, and quality of artificial intelligence chatbot responses to the 100 most searched queries about cardiopulmonary resuscitation: An observational study

Dilek Ömür Arça, İsmail Erdemir, Fevzi Kara et al.

2024 · 29 Zit.

Understanding EFL teachers’ experiences of ChatGPT-driven collaborative reflective practice through a community of practice lens

Mohammad Hossein Arefian, İrem Çomoğlu, Kenan Dikilitaş

2024 · 26 Zit.

How artificial intelligence can provide information about subdural hematoma: Assessment of readability, reliability, and quality of ChatGPT, BARD, and perplexity responses

Şanser Gül, İsmail Erdemir, Volkan Hancı et al.

2024 · 26 Zit.

Super AI, Generative AI, Narrow AI and Chatbots: An Assessment of Artificial Intelligence Technologies for The Public Sector and Public Administration

Muhammet Damar, Ahmet Özen, Ülkü Ece Çakmak et al.

2024 · 21 Zit.

Evaluating Focal 18F-FDG Uptake in Thyroid Gland with Radiomics

Ayşegül Aksu, Nazlı Pınar Karahan Şen, Emine Acar et al.

2020 · 20 Zit.

AI in Medical Education: A Comparative Analysis of GPT-4 and GPT-3.5 on Turkish Medical Specialization Exam Performance

Mustafa Eray Kılıç

2023 · 11 Zit.

The Role of Artificial Intelligence in Health Care

İpek Deveci Kocakoç

2022 · 7 Zit.

The effect of an artificial intelligence algorithm on chest X-ray interpretation of radiology residents

Yeliz Pekçevik, Dilek Orbatu, Fatih Güngör et al.

2022 · 6 Zit.