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References from Voice-Enabled Virtual Patients for Interactive Training in Standardized Clinical Assessment: Mixed Methods Pilot Study. Local targets link to admitted publications; unresolved targets remain external evidence.
An old but still burning problem: inter-rater reliability in clinical trials with antidepressant medication
10.1016/j.jad.2020.07.080 · External reference
The impact of rater training on clinical outcomes assessment data: a literature review
10.18203/2349-3259.ijct20173133 · External reference
Is the use of standardized patients more effective than role-playing in medical education? A meta-analysis
10.3389/fmed.2025.1601116 · External reference
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P02-88 - Quantifying rater drift on the HAM-D in a sample of standardized rater training events: implications for reliability and sample size calculations
10.1016/s0924-9338(11)72389-6 · External reference
The impact of simulation-based training in medical education: a review
10.1097/md.0000000000038813 · External reference
A review on the evolution of simulation-based training to help build a safer future
10.1097/md.0000000000029503 · External reference
Standardized patients in medical education: a review of the literature
10.7759/cureus.42027 · External reference
A randomized prospective study of a hybrid rule- and data-driven virtual patient
10.1017/s1351324922000420 · External reference
The evolution from standardized to virtual patients in medical education
10.7759/cureus.71224 · External reference
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Computerized virtual patients in health professions education: a systematic review and meta-analysis
10.1097/acm.0b013e3181edfe13 · External reference
Artificial intelligence education and tools for medical and health informatics students: systematic review
10.2196/19285 · External reference
Towards believable and educational conversations with virtual patients
10.3389/frvir.2024.1377210 · External reference
Virtual patients using large language models: scalable, contextualized simulation of clinician-patient dialogue with feedback
10.2196/68486 · External reference
Integrating GPT-based AI into virtual patients to facilitate communication training among medical first responders: usability study of mixed reality simulation
10.2196/58623 · External reference
10.18653/v1/2024.emnlp-main.711
10.18653/v1/2024.emnlp-main.711 · External reference
Leveraging large language models for simulated psychotherapy client interactions: development and usability study of Client101
10.2196/68056 · External reference
Assessing ChatGPT’s capability as a new age standardized patient: qualitative study
10.2196/63353 · External reference
Embracing the future of medical education with large language model-based virtual patients: scoping review
10.2196/79091 · External reference
A new depression scale designed to be sensitive to change
10.1192/bjp.134.4.382 · External reference
Consistency checks to improve measurement with the Montgomery-Asberg Depression Rating Scale (MADRS)
10.1016/j.jad.2019.05.077 · External reference
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Personas for artificial intelligence (AI) an open source toolbox
10.1109/access.2022.3154776 · External reference
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Development and reliability of a structured interview guide for the Montgomery Asberg Depression Rating Scale (SIGMA)
10.1192/bjp.bp.106.032532 · External reference
Fine-tuning language model embeddings to reveal domain knowledge: an explainable artificial intelligence perspective on medical decision making
10.1016/j.engappai.2024.109561 · External reference
