[HTML][HTML] Technical aspects of developing chatbots for medical applications: scoping review

Z Safi, A Abd-Alrazaq, M Khalifa, M Househ - Journal of medical Internet …, 2020 - jmir.org
Background Chatbots are applications that can conduct natural language conversations with
users. In the medical field, chatbots have been developed and used to serve different …

Software-based dialogue systems: survey, taxonomy, and challenges

Q Motger, X Franch, J Marco - ACM Computing Surveys, 2022 - dl.acm.org
The use of natural language interfaces in the field of human-computer interaction (HCI) is
undergoing intense study through dedicated scientific and industrial research. The latest …

[PDF][PDF] Conversational agents in software engineering: Survey, taxonomy and challenges

Q Motger, X Franch, J Marco - arXiv preprint arXiv:2106.10901, 2021 - academia.edu
Authors' addresses: Quim Motger, jmotger@ essi. upc. edu; Xavier Franch, franch@ essi.
upc. edu, Department of Service and Information System Engineering (ESSI), Universitat …

MedDG: an entity-centric medical consultation dataset for entity-aware medical dialogue generation

W Liu, J Tang, Y Cheng, W Li, Y Zheng… - … Conference on Natural …, 2022 - Springer
Medical dialogue systems interact with patients to collect symptoms and provide treatment
advice. In this task, medical entities (eg, diseases, symptoms, and medicines) are the most …

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

AMFT Rosário, FIAF Vilaça… - Electronic Journal …, 2020 - academic-publishing.org
Health care institutions (HCI in further text) are in constant interplay with their context,
generating ensuing opportunities and threats. Knowledge management has been …

Interactive question answering systems: Literature review

GM Biancofiore, Y Deldjoo, TD Noia… - ACM Computing …, 2024 - dl.acm.org
Question-answering systems are recognized as popular and frequently effective means of
information seeking on the web. In such systems, information seekers can receive a concise …

Cdialog: A multi-turn covid-19 conversation dataset for entity-aware dialog generation

D Varshney, A Zafar, NK Behra, A Ekbal - arXiv preprint arXiv:2212.06049, 2022 - arxiv.org
The development of conversational agents to interact with patients and deliver clinical
advice has attracted the interest of many researchers, particularly in light of the COVID-19 …

Augmented LSTM framework to construct medical self-diagnosis android

C Liu, H Sun, N Du, S Tan, H Fei, W Fan… - 2016 IEEE 16th …, 2016 - ieeexplore.ieee.org
Given a health-related question (such as" I have a bad stomach ache. What should I do?"), a
medical self-diagnosis Android inquires further information from the user, diagnoses the …

Empowering Transformers for Evidence-Based Medicine

S Mohammed, J Fiaidhi, H Shaik - medRxiv, 2023 - medrxiv.org
Breaking the barrier for practicing evidence-based medicine rely on effective methods for
rapidly identifying relevant evidences from the body of biomedical literature. An important …

BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation

Y He, Y Zhang, S He, J Wan - arXiv preprint arXiv:2403.19414, 2024 - arxiv.org
Medical dialogue generation (MDG) has gained increasing attention due to its substantial
practical value. Previous works typically employ a sequence-to-sequence framework to …