ArticleClinics and practice2023
AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat.
Article in Clinics and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.
- Comparative analysis of ChatGPT and Gemini (Bard) in medical inquiry: a scoping review.Frontiers in digital health · 2025Pooled it
- Comparison of AI-generated renal diets by different large language models: a guideline-based evaluation with expert input.BMC nephrology · 2026Article
- Med-Diet: evaluation of an LLM-based system for clinically guided nutrition care in chronic diseases.Frontiers in nutrition · 2026Article
- Quality assessment of large language model-generated prior authorization letters in nephrology.Frontiers in digital health · 2026Article
- Benchmarking ChatGPT and Other Large Language Models for Personalized Stage-Specific Dietary Recommendations in Chronic Kidney Disease.Journal of clinical medicine · 2025Article
- The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.Nutrients · 2025Article
- Article
- Artificial Intelligence in Nephrology: From Early Detection to Clinical Management of Kidney Diseases.Bioengineering (Basel, Switzerland) · 2025Review
- Clinical applications and limitations of large language models in nephrology: a systematic review.Clinical kidney journal · 2025Article
- FoodSky: A food-oriented large language model that can pass the chef and dietetic examinations.Patterns (New York, N.Y.) · 2025Article
- From bytes to bites: application of large language models to enhance nutritional recommendations.Clinical kidney journal · 2025Review
- ChatGPT-4o and 4o1 Preview as Dietary Support Tools in a Real-World Medicated Obesity Program: A Prospective Comparative Analysis.Healthcare (Basel, Switzerland) · 2025Article
- Article
- Current applications and challenges in large language models for patient care: a systematic review.Communications medicine · 2025Article
- Evaluation of LLMs accuracy and consistency in the registered dietitian exam through prompt engineering and knowledge retrieval.Scientific reports · 2025Article
- Performance of o1 pro and GPT-4 in Self-Assessment Questions for Nephrology Board Renewal.Frontiers in medicine · 2025Article
- Article
- Comparison of the Accuracy, Completeness, Reproducibility, and Consistency of Different AI Chatbots in Providing Nutritional Advice: An Exploratory Study.Journal of clinical medicine · 2024Article
- Identification of kidney-related medications using AI from self-captured pill images.Renal failure · 2024Article
- Perception, concerns, and practice of ChatGPT among Egyptian pharmacists: a cross-sectional study in Egypt.BMC health services research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with chronic kidney disease (CKD) necessitate specialized renal diets to prevent complications such as hyperkalemia and hyperphosphatemia. A comprehensive assessment of food components is pivotal, yet burdensome for healthcare providers. With evolving artificial intelligence (AI) technology, models such as ChatGPT, Bard AI, and Bing Chat can be instrumental in educating patients and assisting professionals. To gauge the efficacy of different AI models in discerning potassium and phosphorus content in foods, four AI models-ChatGPT 3.5, ChatGPT 4, Bard AI, and Bing Chat-were evaluated. A total of 240 food items, curated from the
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.