[HTML][HTML] Design and evaluation challenges of conversational agents in health care and well-being: selective review study

AB Kocaballi, E Sezgin, L Clark, JM Carroll… - Journal of medical …, 2022 - jmir.org
Background Health care and well-being are 2 main interconnected application areas of
conversational agents (CAs). There is a significant increase in research, development, and …

[HTML][HTML] Conversational agents for depression screening: A systematic review

I Otero-González, MR Pacheco-Lorenzo… - International Journal of …, 2024 - Elsevier
Objective This work explores the advances in conversational agents aimed at the detection
of mental health disorders, and specifically the screening of depression. The focus is put on …

[HTML][HTML] Clinical accuracy of large language models and Google search responses to postpartum depression questions: cross-sectional study

E Sezgin, F Chekeni, J Lee, S Keim - Journal of Medical Internet Research, 2023 - jmir.org
Methods We used 2 publicly accessible LLMs, GPT-4 (using ChatGPT)[3] and LaMDA (using
Bard)[4], and Google Search engine. On April 3, 2023, we prompted each model and …

Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic sco** review

H Ding, J Simmich, A Vaezipour… - Journal of the …, 2024 - academic.oup.com
Abstract Objectives Conversational agents (CAs) with emerging artificial intelligence present
new opportunities to assist in health interventions but are difficult to evaluate, deterring their …

The impact of virtual humans on psychosomatic medicine

K Loveys, M Sagar, M Antoni… - Psychosomatic …, 2023 - journals.lww.com
Objective Virtual humans are likely to enhance the delivery of health care over the next
decade. Virtual humans are artificially intelligent computer agents with hyperrealistic …

A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures

A Baughan, X Wang, A Liu, A Mercurio… - Proceedings of the 2023 …, 2023 - dl.acm.org
Despite huge gains in performance in natural language understanding via large language
models in recent years, voice assistants still often fail to meet user expectations. In this study …

" This machine is for the aides": tailoring voice assistant design to home health care work

V Bartle, L Albright, N Dell - Proceedings of the 2023 CHI Conference on …, 2023 - dl.acm.org
This paper explores how the design of interactive voice assistants (IVAs) might be tailored to
support home health aides' important work in complex home care contexts. We designed …

Harvesting the power of artificial intelligence for surgery: uses, implications, and ethical considerations

JA Kavian, HL Wilkey, PA Patel… - The American …, 2023 - journals.sagepub.com
Artificial intelligence is rapidly advancing, especially with the advent of ChatGPT technology,
and its role in the world of medicine is expanding. Within surgery, AI has the capacity to …

[HTML][HTML] Redefining Virtual Assistants in Health Care: The Future With Large Language Models

E Sezgin - Journal of Medical Internet Research, 2024 - jmir.org
This editorial explores the evolving and transformative role of large language models (LLMs)
in enhancing the capabilities of virtual assistants (VAs) in the health care domain …

[PDF][PDF] Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education

M Abedi, I Alshybani, MRB Shahadat, M Murillo - Qeios, 2023 - researchgate.net
In the rapidly evolving landscape of education, digital technologies have repeatedly
disrupted traditional pedagogical methods. This paper explores the latest of these …