Virtual patients are able to represent patients in realistic clinical scenarios and engage learners in doctor-patient conversations about the patient's health, interpret laboratory results and medical images, and form a diagnosis. Currently, due to the conditions created by the COVID-19 pandemic, the interaction of medical students with patients is limited, therefore virtual doctor-patient interaction environments become a safe and practical solution for training medical skills, including blended learning. With the current advances in artificial intelligence, virtual patients can be equipped with advanced functions, such as the integration of different types of conversational agents or support for the automatic prediction of the patient's evolution.
In this context, the main objective of the project is to develop a virtual environment to simulate the interactions between the learner (medical student or doctor/resident) and a virtual clinical patient for the diagnosis and treatment of acute and chronic heart diseases. The virtual environment, supported by a software platform and artificial intelligence technologies, simulates real-life clinical scenarios in which the student emulates the role of the doctor who performs an examination of the virtual patient and obtains a history, performs anamnesis, physical examination, paraclinical investigations, establishes a diagnosis and recommends a therapeutic plan.
Starting from our already developed system, the challenges of this project are to advance virtual patient technology by developing a flexible and integrated cardiology training environment that incorporates advanced artificial intelligence techniques, especially case diagnosis and treatment planning simple and complex, a conversational agent capable of dialogue in natural language and voice, as well as the generation of synthetic data based on deep neural networks.
Short text about Artificial intelligence.
Short text about the avatar of the patient.
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The project consortium consists of:
This project is funded by the Ministry of Education and Research, CCCDI - UEFISCDI, project number PN-III-P2-2.1-PED-2021-2511.
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Conference Article: Imad Alex Awada, Alexandru Sorici, Marius Drăgoi, Adina Magda Florea, Alexandru Scafa-Udriște - Virtual Patient: A Web-Based Platform for the Training of Medical Students in Patient Consultation During a Lockdown, 14th Annual International Conference on Education and New Learning Technologies (EDULEARN 2022), Palma de Mallorca, Spain, 4-6 July 2022.
Conference Article: Imad Alex Awada, Alexandru Sorici, Marius Drăgoi, Adina Magda Florea, Alexandru Scafa-Udriște - Virtual Patient: Architecture of an Educational Web Platform for the Assessment of Consultation and Diagnosing Skills of Medical Students, 15th annual International Conference of Education, Research and Innovation (ICERI 2022), Sevilla, Spain, 7-9 November 2022.
Conference Article: Alice Lavinia Chiru, Imad Alex Awada, Alexandru Sorici, Adina Magda Florea, Alexandru Scafa-Udriște - A Support Module for the Virtual Patient Educational Platform, 10th edition of the IEEE International Conference on e-Health and Bioengineering (EHB 2022), Iasi, Romania, 17-19 November 2022.
Presentation: Imad Alex Awada, Alexandru Scafa-Udriste, Adina Magda Florea Virtual Patient: A Platform that Enables the Remote Training of Medical Students in Patient Consultation, Spring Scientific Conference of the Academy of Romanian Scientists, "The Digital Age – Challenges and Opportunities for Contemporary Society" (AOSR 2022), Bucharest, Romania, 6-7 May 2022.
Presentation: Imad Alex Awada, Adina Magda Florea, Alexandru Scafa-Udriste Virtual Patient: Student Training in Cardiovascular Diseases Diagnostic and Treatment, The Human Dimension of Artificial Intelligence Workshop, Bucharest, Romania, 22 June 2022.
Promo - Video Material: Presentation of the Virtual Patient project during the conference ITUPP2022. The conference was held in Bucharest, Romania between the 26th of September and 14th of October 2022.