ReviewDigital health
Transforming healthcare with chatbots: Uses and applications-A scoping review.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Conversational AI in Hereditary Cancer Care: Sociotechnical Study of Responsible Design Requirements.JMIR human factors · 2026Article
- Artificial intelligence-based chatbots to enhance medication adherence among patients with non-communicable chronic diseases: Systematic review and meta-analysis.PLOS digital health · 2026Article
- AI-assisted PEG aftercare education for older adults: clinician-informed chatbot design (PEGAssist).European geriatric medicine · 2026Article
- Toward trustworthy chatbots: a protocol for red teaming for health related conversations.Scientific reports · 2026Article
- Personalised health plan development using agentic AI in Singapore's national preventive care programme: a pilot study.NPJ digital medicine · 2026Article
- Chatbots as frontline educators in sexual reproductive health rights: evidence, limitations, and ethical considerations.Frontiers in digital health · 2026Article
- Overview of RAG-based and LLM-based approaches to personalization in healthcare AI applications.Frontiers in artificial intelligence · 2026Review
- Artificial Intelligence in Medicine: A Definition of Terms.Journal of community hospital internal medicine perspectives · 2026Article
- Mental health chatbots and their technical features: A systematic review of reviews and a thematic analysis.Global mental health (Cambridge, England) · 2026Review
- Toward Trustworthy Chatbots: A Protocol for Red Teaming for Health Related Conversations.medRxiv : the preprint server for health sciences · 2025Article
- Multimodal and Multidimensional Artificial Intelligence Technology in Obesity.Journal of obesity & metabolic syndrome · 2025Review
- Artificial Intelligence in Nutrition and Dietetics: A Comprehensive Review of Current Research.Healthcare (Basel, Switzerland) · 2025Review
- Chatbots in Radiology: Current Applications, Limitations and Future Directions of ChatGPT in Medical Imaging.Diagnostics (Basel, Switzerland) · 2025Review
- Information security and confidentiality in health chatbots: A scoping review and development of a conceptual model.Digital healthReview
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The COVID-19 pandemic has intensified the demand and use of healthcare resources, prompting the search for efficient solutions under budgetary constraints. In this context, the increasing use of artificial intelligence and telemedicine has emerged as a key strategy to optimize healthcare delivery and resources. Consequently, chatbots have emerged as innovative tools in various healthcare fields, such as mental health and patient monitoring, offering therapeutic conversations and early interventions. This systematic review aims to explore the current state of chatbots in the healthcare sector, meticulously evaluating their effectiveness, practical applications, and potential benefits. Methods: This systematic review was conducted following PRISMA guidelines, utilizing three databases, including PubMed, Web of Science, and Scopus, to identify relevant studies on the use and cost of chatbots in health over the past 5 years. Results: Several articles were identified through the database search ( Conclusion: Furthermore, there are challenges regarding the implementation of chatbots, compatibility with other systems, and ethical considerations that may arise in different healthcare settings. Addressing these issues will be essential to maximize the benefits of chatbots, mitigate risks, and ensure equitable access to these health innovations.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.