e-IATROS — A Virtual Medical Doctor and Its Dialogue Systems: Features, Emotion, Learning
Stavros Mallios, Anna Aurelia Esposito, Nikolaos Bourbakis · International Journal of Artificial Intelligence Tools · 2020
The current incremental need for immediate responses (real-time) on many medical emergencies is necessity for an advanced society. In many cases, people who are living in rural areas need a critical, for their healthy, commuting time to a Medical Center (Hospital). In addition, human physicians have limited capability for offering their services to large number of emergencies or medical cases. Thus, there is a need for the medical technologies to take the advantage of the advanced IT and Engineering for the design and development of Virtual Doctor Diagnoses Systems to facilitate such needs. This paper presents the components needed for the development of such an intelligent system, called e-IATROS, and its Virtual Doctor (VDr) dialogue systems. The e-IATROS system has the potential to simultaneously talk to a large number of human patients without humans to detect that they are talking to a computer based system. This is a necessary feature for convincing human patients to trust the machine and express their issues. To do so, the e-IATROS has to use the voice of the actual human doctor for each human patient. Each VDr dialogue system mainly interacts with a patient extracting non-measurable and measurable symptoms to contribute to the generation of possible prognosis. The e-IATROS system is presented with its capabilities recognizing the patient emotion and learning through the process.