Results 21 to 30 of about 10,528 (144)

Evaluating the quality and readability of AI-generated information on adenomyosis: a comparative analysis of ChatGPT and deepseek regarding query-model consistency

Frontiers in Public Health
PurposeTo systematically evaluate and compare the quality, readability, and query-model consistency of adenomyosis-related content generated by two large language models, ChatGPT (GPT-5) and DeepSeek (R1).Materials and methodsIn total, 25 high-frequency ...
Ling Tian, Yan Wang, Yan Wang, Ming-tao Yang, Hong-ni He, Tian-wen He, Ying Tang, Chuan Lin, Chuan Lin, Chuan Lin, Hui-quan Hu, Hui-quan Hu, Jun Li   +12 more
doaj   +1 more source

Expert Evaluation of Large Language Models for Caregiver Counseling in Pediatric Seizures: A Comparative Study of ChatGPT, Gemini, and DeepSeek

Haseki Tıp Bülteni
Aim: Caregiver-facing large language model (LLM) responses to pediatric seizure questions must provide accurate, complete, and safety-critical guidance because omissions may affect urgent decision-making.
Sema Bozkaya Yilmaz, Gunce Basarir
doaj   +1 more source

WhatsApp Hybrid Chatbot Architecture Rasa-DeepSeek: Design and Performance Evaluation

Sistemasi: Jurnal Sistem Informasi
This study designed and evaluated a hybrid chatbot for a domain-specific application by addressing two main issues: limited NLU coverage and the variability of latency and cost when all queries are routed directly to an LLM.
Iqbaluddin Syam Had, Fandy Setyo Utomo, Giat Karyono, Dwi Putriana Nuramanah Kinding   +3 more
doaj   +1 more source

Performance Comparison of Gemini, DeepSeek, and ChatGPT-4o on American Board of Physical Medicine and Rehabilitation Board Exam Practice Questions

Objective: The rapid advancement of large language models (LLMs) has demonstrated their important potential in medical education and assessment. This study aimed to evaluate the performance of three prominent LLMs (Gemini, DeepSeek, and ChatGPT-4o) on ...
Gonca Sağlam Akkaya, Hanife Baykal Şahin, SAGLAM, GONCA, ŞAHİN, HANİFE BAYKAL   +3 more
core   +1 more source

Artificial intelligence for tumor board simulation among HPV positive oropharynx cancer patients

American Journal of Otolaryngology
Objective: To compare treatment recommendations generated by three large language models (LLMs): ChatGPT-4o, DeepSeek-R1, and a custom retrieval-augmented generation (RAG) DeepSeek-R1 model for HPV-associated tonsillar oropharyngeal squamous cell ...
Audrey Y. Su, Nilam D. Patel, Jacob Beiriger, Nikhil Bellamkonda, Daniel E. Bestourous, Janice L. Farlow, Andrew Y. Xu, Andrew Ni, Richard B. Cannon, Marcus M. Monroe, Hilary C. McCrary   +10 more
doaj   +1 more source

Are Artificial Intelligence-generated Patient Leaflets Ready for Clinical Use? A Readability Comparison across Common Orthopaedic Procedures

Journal of Orthopaedic Case Reports
Introduction: Readable patient information is central to informed consent, shared decision-making, and treatment adherence. With the emergence of large language models (LLMs), such as ChatGPT, Gemini, and DeepSeek, there is growing interest in their role
Jamila Tukur Jido, Ahmed Al Wizni
doaj   +1 more source

Artificial intelligence-generated informed patient consent in various ophthalmological procedures: A comparative study of correctness, completeness, readability, and real-word application between Deepseek and Chatgpt 4o

Indian Journal of Ophthalmology
Purpose: To study the correctness, completeness, language and readability, and real-world applicability of artificial intelligence chatbots-generated informed consent forms for various ophthalmological procedures and interventions.
Deepsekhar Das, Bhavna Chawla, Neiwete Lomi, Preeti Tomar, Ananya Herle, Shivani Joshi   +5 more
doaj   +1 more source

Is DeepSeek Capable of Passing the UK Radiology Fellowship Examinations? [PDF]

Objective: This study evaluates the capability of DeepSeek, a large language model-based Artificial intelligence (AI) system, in passing the UK Fellowship of the Royal College of Radiologists (FRCR) examination by assessing its performance on text-based ...
Henderson, Robert, Gandikota, Girish, Iyengar, Karthikeyan P, Botchu, Rajesh, Uldin, Hasaam, Saran, Sonal   +5 more
core   +1 more source

Benchmarking Deepseek-LLM-7B-Chat and Qwen1.5-7B-Chat for Indonesian Product Review Emotion Classification

Journal of Applied Informatics and Computing
Upon completing their shopping experience on an e-commerce platform, users have the opportunity to leave a review. By analyzing reviews, businesses can gain insight into customer emotions, while researchers and policymakers can monitor social dynamics ...
Galih Setiawan Nurohim, Heribertus Ary Setyadi, Ahmad Fauzi   +2 more
doaj   +1 more source

Evaluating the performance of large language models in sarcopenia-related patient queries: a foundational assessment for patient-centered validation

Frontiers in Aging
BackgroundLarge Language Models (LLMs) have shown promise in clinical applications but their performance in specialized areas such as sarcopenia remains understudied.MethodsA panel of sarcopenia clinician researchers developed 20 standardized patient ...
Tao Huang, Ben Kirk, Jacqueline Close, Jae-young Lim, Gustavo Duque, Peter Ebeling, Minghui Yang, Maoyi Tian, Chun Sing Chui, Chaoran Liu, Ning Zhang, Wing-Hoi Cheung, Ronald Man Yeung Wong   +12 more
doaj   +1 more source