+ HEALTH Background Laryngeal cancer is a significant global health issue with high mortality, and early diagnosis is…+ LABOR This scoping review consolidates existing technology-enabled interventions for preventing and responding to a…+ HEALTH Background Assessment of pulmonary vascularity on chest radiographs (CXRs) in congenital heart disease (CHD)…− HEALTH Most artificial intelligence (AI) models used in radiology are black boxes-they produce predictions without e…− HEALTH Background The anion gap is primarily utilized as an indicator for evaluating acid-base imbalances in critica…+ HEALTH Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportun…+ HEALTH Objective This study aimed to evaluate the structural characteristics of mandibular alveolar bone in patients…+ MEDIA & ARTS Look, we all want Brooke Shields to be in gainful employment. We all want her to have a fabulous third act to…
TruaceTracing the truth around AISaturday, August 22, 2026
Subscribe
Health·G Space·Evidence-backed gain·Published 2026-08-22

AI patients, real practice: exploring the use of AI-simulated patients to support primary healthcare training for combat medical technicians

Abstract: Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency. Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations. We present our evaluation of the feasibility, acceptability and educational impact of AI-simulated patients for CMT training. Methods Five military primary care simulated patients were develo…

TRV-2026-0845Peer-reviewedPermanent record — cite & verify
AI patients, real practice: exploring the use of AI-simulated patients to support primary healthcare training for combat medical technicians

Granada - Hospital Doctor Olóriz 3 by Zarateman. CC0 · http://creativecommons.org/publicdomain/zero/1.0/deed.en

The quick read

Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure. Simulated patients offer a controlled method to maintain clinical currency.

Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations. We present our evaluation of the feasibility, acceptability and educational impact of AI-simulated patients for CMT training.

Main points
  • Introduction Combat Medical Technicians (CMTs) are central to military primary care but have limited opportunity for clinical exposure.
  • Simulated patients offer a controlled method to maintain clinical currency.
  • Advances in conversational artificial intelligence (AI) enable realistic and interactive simulated consultations.
Gain

Statistically significant improvements were observed in 10 of 12 clinical domains, including core consultation skills such as comprehensive history taking, identifying key symptoms, adapting questioning and formulating a management plan, and differential diagnoses (all p Conclusion AI-simulated patients are feasible to implement and are associated with meaningful improvements in consultation confidence among CMTs.

Sources

Reader signal

How should this claim be treated?

The debate