ArticleCancers2023
Enhancing Triage Efficiency and Accuracy in Emergency Rooms for Patients with Metastatic Prostate Cancer: A Retrospective Analysis of Artificial Intelligence-Assisted Triage Using ChatGPT 4.0.
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
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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
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Large Language Models for Chatbot Health Advice Studies: A Systematic Review.JAMA network open · 2025Pooled it
- SCRIPT: Stratified clinical risk prediction from pathology reports using large language models.Journal of pathology informatics · 2026Article
- Virtual assistants based on artificial intelligence for oral diagnosis: help for clinicians AI oral diagnosis helper.Diagnostic pathology · 2026Article
- Evaluation of Large Language Models as Emergency Department Revisit Predictors.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2026Article
- Enhancing the prediction of hospital discharge disposition with extraction-based language model classification.npj health systems · 2026Article
- Paediatric rare diseases: Can large language models assist off-label prescribing?British journal of clinical pharmacology · 2025Article
- Evaluating GPT-4o for emergency disposition of complex respiratory cases with pulmonology consultation: a diagnostic accuracy study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025Observational
- Review
- Development and evaluation of large-language models (LLMs) for oncology: A scoping review.PLOS digital health · 2025Article
- Large language model integrations in cancer decision-making: a systematic review and meta-analysis.NPJ digital medicine · 2025Article
- Areas of research focus and trends in the research on the application of AIGC in healthcare.Journal of health, population, and nutrition · 2025Article
- Foundational Segmentation Models and Clinical Data Mining Enable Accurate Computer Vision for Lung Cancer.Journal of imaging informatics in medicine · 2025Article
- Is there any room for ChatGPT AI bot in speech-language pathology?European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025Article
- Comparison of triage performance among DRP tool, ChatGPT, and outpatient rehabilitation doctors.Scientific reports · 2025Article
- Triage decisions and health outcomes among oncology patients: a comparative study of medical and surgical cancer cases in emergency departments.BMC emergency medicine · 2025Article
- Triage of Patient Messages Sent to the Eye Clinic via the Electronic Medical Record: A Comparative Study on AI and Human Triage Performance.Journal of clinical medicine · 2025Article
- A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians.NPJ digital medicine · 2025Article
- The Role of Artificial Intelligence in Triaging Patients in Eye Casualty Departments: A Systematic Review.Cureus · 2025Review
- Large language models' responses to liver cancer surveillance, diagnosis, and management questions: accuracy, reliability, readability.Abdominal radiology (New York) · 2024Article
- Assessing the use of the novel tool Claude 3 in comparison to ChatGPT 4.0 as an artificial intelligence tool in the diagnosis and therapy of primary head and neck cancer cases.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundAccurate and efficient triage is crucial for prioritizing care and managing resources in emergency rooms. This study investigates the effectiveness of ChatGPT, an advanced artificial intelligence system, in assisting health providers with decision-making for patients presenting with metastatic prostate cancer, focusing on the potential to improve both patient outcomes and resource allocation.
methodsClinical data from patients with metastatic prostate cancer who presented to the emergency room between 1 May 2022 and 30 April 2023 were retrospectively collected. The primary outcome was the sensitivity and specificity of ChatGPT in determining whether a patient required admission or discharge. The secondary outcomes included the agreement between ChatGPT and emergency medicine physicians, the comprehensiveness of diagnoses, the accuracy of treatment plans proposed by both parties, and the length of medical decision making.
resultsOf the 147 patients screened, 56 met the inclusion criteria. ChatGPT had a sensitivity of 95.7% in determining admission and a specificity of 18.2% in discharging patients. In 87.5% of cases, ChatGPT made the same primary diagnoses as physicians, with more accurate terminology use (42.9% vs. 21.4%,
conclusionsOur hypothesis-generating data demonstrated that ChatGPT is associated with a high sensitivity in determining the admission of patients with metastatic prostate cancer in the emergency room. It also provides accurate and comprehensive diagnoses. These findings suggest that ChatGPT has the potential to assist health providers in improving patient triage in emergency settings, and may enhance both efficiency and quality of care provided by the physicians.
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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.