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Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study

Teerachate Nantakeeratipat • Frontiers in Digital Health (2026)

BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1687820

Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Sebastian Holm, MD, Mario Zambrana, MD, Juan E. Berner, MD, PhD, Reza Tabrisi, MD et al. • Plastic and Reconstructive Surgery, Global Open (2025)

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

DOAJ Open Access (DOAJ) DOI: 10.1097/GOX.0000000000007057

Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis

Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi, Yousef E. Alenezi et al. • Frontiers in Oral Health (2026)

IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...

DOAJ Open Access (DOAJ) DOI: 10.3389/froh.2025.1686090

A Primer on Generative Artificial Intelligence

Faisal Kalota • Education Sciences (2024)

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...

OPENALEX cc-by DOI: https://doi.org/10.3390/educsci14020172

Comparative Evaluation of Artificial Intelligence-Generated Physician-Level Educational Content in Diabetic Foot Ulcers: Quality, Guideline Concordance, and Clinical Reliability

Emrah Işıktekin, Erhan Hocaoğlu • Uludağ Üniversitesi Tıp Fakültesi Dergisi (2026)

The study aimed to evaluate the quality, clinical reliability, and guideline concordance of physician-level educational responses generated by artificial intelligence (AI) in diabetic foot ulcer management. A blinded, comparative analysis w...

DOAJ Open Access (DOAJ) DOI: 10.32708/uutfd.1949030

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492