[HTML][HTML] Roles, users, benefits, and limitations of chatbots in health care: rapid review

M Laymouna, Y Ma, D Lessard, T Schuster… - Journal of medical …, 2024 - jmir.org
Background Chatbots, or conversational agents, have emerged as significant tools in health
care, driven by advancements in artificial intelligence and digital technology. These …

Artificial intelligence in positive mental health: a narrative review

A Thakkar, A Gupta, A De Sousa - Frontiers in digital health, 2024 - frontiersin.org
The paper reviews the entire spectrum of Artificial Intelligence (AI) in mental health and its
positive role in mental health. AI has a huge number of promises to offer mental health care …

[HTML][HTML] Your robot therapist is not your therapist: understanding the role of AI-powered mental health chatbots

Z Khawaja, JC Bélisle-Pipon - Frontiers in Digital Health, 2023 - frontiersin.org
Artificial intelligence (AI)-powered chatbots have the potential to substantially increase
access to affordable and effective mental health services by supplementing the work of …

Is AI the future of mental healthcare?

F Minerva, A Giubilini - Topoi, 2023 - Springer
Over the past decade, AI has been used to aid or even replace humans in many
professional fields. There are now robots delivering groceries or working in assembling lines …

[HTML][HTML] AI chatbots in digital mental health

L Balcombe - Informatics, 2023 - mdpi.com
Artificial intelligence (AI) chatbots have gained prominence since 2022. Powered by big
data, natural language processing (NLP) and machine learning (ML) algorithms, they offer …

[HTML][HTML] Ethical implications of chatbot utilization in nephrology

OA Garcia Valencia, S Suppadungsuk… - Journal of Personalized …, 2023 - mdpi.com
This comprehensive critical review critically examines the ethical implications associated
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …

Open-world machine learning: applications, challenges, and opportunities

J Parmar, S Chouhan, V Raychoudhury… - ACM Computing …, 2023 - dl.acm.org
Traditional machine learning, mainly supervised learning, follows the assumptions of closed-
world learning, ie, for each testing class, a training class is available. However, such …

[HTML][HTML] The opportunities and risks of large language models in mental health

HR Lawrence, RA Schneider, SB Rubin… - JMIR Mental …, 2024 - mental.jmir.org
Global rates of mental health concerns are rising, and there is increasing realization that
existing models of mental health care will not adequately expand to meet the demand. With …

A framework of diversity, equity, and inclusion safeguards for chatbots

E Abdelhalim, KS Anazodo, N Gali, K Robson - Business Horizons, 2024 - Elsevier
Chatbots such as ChatGPT are conversational agents that play an important role in many
sectors. They are highly sophisticated artificial intelligence (AI) agents increasingly …

Human/AI relationships: challenges, downsides, and impacts on human/human relationships

A Zimmerman, J Janhonen, E Beer - AI and Ethics, 2023 - Springer
Advances in artificial intelligence have resulted in objects that behave and sound like
humans and exude a more human feel. Therefore, the relationships between humans and …