Research graph
References from Comparative Expert Evaluation of Multimodal Large Language Models for Pediatric Rash Diagnosis: Clinical Utility, Safety, Information Quality, and Readability. Local targets link to admitted publications; unresolved targets remain external evidence.
Viral exanthems in children: A great imitator
10.1016/j.clindermatol.2019.01.009 · 2019 · External reference
Emergency department management of rash and fever in the pediatric patient
2020 · External reference
Challenges in evaluating pediatric fever and rash in the era of COVID-19 and multisystem inflammatory syndrome in children (MIS-C)
2022 · External reference
Artificial intelligence in emergency medicine: Viewpoint of current applications and foreseeable opportunities and challenges
10.2196/40031 · 2023 · External reference
Use of a large language model to assess clinical acuity of adults in the emergency department
10.1001/jamanetworkopen.2024.8895 · 2024 · External reference
ChatGPT with GPT-4 outperforms emergency department physicians in diagnostic accuracy: Retrospective analysis
10.2196/56110 · 2024 · External reference
10.3389/fdgth.2025.1624786
10.3389/fdgth.2025.1624786 · External reference
10.1186/s12873-025-01303-y
10.1186/s12873-025-01303-y · External reference
Evaluation and mitigation of the limitations of large language models in clinical decision-making
10.1038/s41591-024-03097-1 · 2024 · External reference
10.1007/978-3-032-15614-3
10.1007/978-3-032-15614-3 · External reference
10.3390/cancers14153829
10.3390/cancers14153829 · External reference
Assessment of a smartphone-based neural network application for the risk assessment of skin lesions under real-world conditions
10.5826/dpc.1503a5110 · 2025 · External reference
Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4
10.1038/s41467-024-50043-3 · 2024 · External reference
Diagnostic accuracy of artificial intelligence versus 263 pediatric clinicians for childhood exanthems
10.1007/s00431-026-07044-9 · 2026 · External reference
Determination and quantification of content validity
10.1097/00006199-198611000-00017 · 1986 · External reference
The content validity index: Are you sure you know what’s being reported? Critique and recommendations
10.1002/nur.20147 · 2006 · External reference
DISCERN: An instrument for judging the quality of written consumer health information on treatment choices
10.1136/jech.53.2.105 · 1999 · External reference
A new readability yardstick
10.1037/h0057532 · 1948 · External reference
Unlocking language: The classic readability studies
10.1109/tpc.2008.2007872 · 2008 · External reference
Readability of online patient education materials for congenital hand differences
10.1177/15589447231168907 · 2024 · External reference
Web-based health information following the renewal of the cervical screening program in Australia: Evaluation of readability, understandability, and credibility
10.2196/16701 · 2020 · External reference
Unresolved reference
External reference
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
10.1016/j.jcm.2016.02.012 · 2016 · External reference
Answering the call for a standard reliability measure for coding data
10.1080/19312450709336664 · 2007 · External reference
Multidimensional assessment of large language model responses to patient questions on gestational diabetes mellitus
10.1038/s41598-025-27235-y · 2025 · External reference
Evaluation of the reliability and readability of ChatGPT-4 responses regarding hypothyroidism during pregnancy
10.1038/s41598-023-50884-w · 2024 · External reference
ChatGPT and other large language models in laparoscopic cholecystectomy: A multidimensional audit of reliability, quality, and readability
10.1007/s00464-025-12315-x · 2026 · External reference
Evaluating the quality and readability of generative artificial intelligence chatbot responses in the management of Achilles tendon rupture
2025 · External reference
10.1186/s12909-025-07493-0
10.1186/s12909-025-07493-0 · External reference
Exploring body donation communication with large language models: Accuracy, readability, and ethical considerations
10.1002/ase.70120 · 2025 · External reference
10.3390/medicina62010227
10.3390/medicina62010227 · External reference
Use of a large language model to assess clinical acuity of adults in the emergency department
10.1001/jamanetworkopen.2024.8895 · ExternalCitation · doi-reference
Exploring body donation communication with large language models: Accuracy, readability, and ethical considerations
10.1002/ase.70120 · ExternalCitation · doi-reference
The content validity index: Are you sure you know what’s being reported? Critique and recommendations
10.1002/nur.20147 · ExternalCitation · doi-reference
10.1007/978-3-032-15614-3
10.1007/978-3-032-15614-3 · ExternalCitation · doi-reference
Diagnostic accuracy of artificial intelligence versus 263 pediatric clinicians for childhood exanthems
10.1007/s00431-026-07044-9 · ExternalCitation · doi-reference
ChatGPT and other large language models in laparoscopic cholecystectomy: A multidimensional audit of reliability, quality, and readability
10.1007/s00464-025-12315-x · ExternalCitation · doi-reference
Viral exanthems in children: A great imitator
10.1016/j.clindermatol.2019.01.009 · ExternalCitation · doi-reference
A guideline of selecting and reporting intraclass correlation coefficients for reliability research
10.1016/j.jcm.2016.02.012 · ExternalCitation · doi-reference
A new readability yardstick
10.1037/h0057532 · ExternalCitation · doi-reference
Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4
10.1038/s41467-024-50043-3 · ExternalCitation · doi-reference
Evaluation and mitigation of the limitations of large language models in clinical decision-making
10.1038/s41591-024-03097-1 · ExternalCitation · doi-reference
Evaluation of the reliability and readability of ChatGPT-4 responses regarding hypothyroidism during pregnancy
10.1038/s41598-023-50884-w · ExternalCitation · doi-reference
Multidimensional assessment of large language model responses to patient questions on gestational diabetes mellitus
10.1038/s41598-025-27235-y · ExternalCitation · doi-reference
Answering the call for a standard reliability measure for coding data
10.1080/19312450709336664 · ExternalCitation · doi-reference
Determination and quantification of content validity
10.1097/00006199-198611000-00017 · ExternalCitation · doi-reference
Unlocking language: The classic readability studies
10.1109/tpc.2008.2007872 · ExternalCitation · doi-reference
DISCERN: An instrument for judging the quality of written consumer health information on treatment choices
10.1136/jech.53.2.105 · ExternalCitation · doi-reference
Readability of online patient education materials for congenital hand differences
10.1177/15589447231168907 · ExternalCitation · doi-reference
10.1186/s12873-025-01303-y
10.1186/s12873-025-01303-y · ExternalCitation · doi-reference
10.1186/s12909-025-07493-0
10.1186/s12909-025-07493-0 · ExternalCitation · doi-reference
Web-based health information following the renewal of the cervical screening program in Australia: Evaluation of readability, understandability, and credibility
10.2196/16701 · ExternalCitation · doi-reference
Artificial intelligence in emergency medicine: Viewpoint of current applications and foreseeable opportunities and challenges
10.2196/40031 · ExternalCitation · doi-reference
ChatGPT with GPT-4 outperforms emergency department physicians in diagnostic accuracy: Retrospective analysis
10.2196/56110 · ExternalCitation · doi-reference
10.3389/fdgth.2025.1624786
10.3389/fdgth.2025.1624786 · ExternalCitation · doi-reference
10.3390/cancers14153829
10.3390/cancers14153829 · ExternalCitation · doi-reference
10.3390/medicina62010227
10.3390/medicina62010227 · ExternalCitation · doi-reference
Assessment of a smartphone-based neural network application for the risk assessment of skin lesions under real-world conditions
10.5826/dpc.1503a5110 · ExternalCitation · doi-reference
