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Quantitative User Data From a Chatbot Developed for Women With Gestational Diabetes Mellitus: Observational Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ijgo.12497openalex-snapshot
FIGO – IDF joint statement and declaration on hyperglycemia in pregnancy
inferredcites →https://doi.org/10.1002/osp4.283openalex-snapshot
Effect of exercise modality on markers of insulin sensitivity and blood glucose control in pregnancies complicated with gestational diabetes mellitus: a systematic review
inferredcites →https://doi.org/10.1007/978-3-030-39540-7_13openalex-snapshot
Improving Conversations: Lessons Learnt from Manual Analysis of Chatbot Dialogues
inferredcites →https://doi.org/10.1007/978-3-030-39540-7_14openalex-snapshot
Conversational Repair in Chatbots for Customer Service: The Effect of Expressing Uncertainty and Suggesting Alternatives
inferredcites →https://doi.org/10.1007/s00404-016-4093-yopenalex-snapshot
Pregnancy eHealth and mHealth: user proportions and characteristics of pregnant women using Web-based information sources—a cross-sectional study
inferredcites →https://doi.org/10.1016/j.bushor.2019.08.005openalex-snapshot
In bot we trust: A new methodology of chatbot performance measures
inferredcites →https://doi.org/10.1016/j.chb.2014.04.043openalex-snapshot
It’s only a computer: Virtual humans increase willingness to disclose
inferredcites →https://doi.org/10.1016/j.diabres.2012.09.002openalex-snapshot
Effectiveness of gestational diabetes treatment: A systematic review with quality of evidence assessment
inferredcites →https://doi.org/10.1016/j.diabres.2018.02.031openalex-snapshot
FIGO-IDF joint statement and declaration on hyperglycemia in pregnancy
inferredcites →https://doi.org/10.1016/j.midw.2016.06.019openalex-snapshot
Exploring the needs, concerns and knowledge of women diagnosed with gestational diabetes: A qualitative study
inferredcites →https://doi.org/10.1016/j.wombi.2012.12.003openalex-snapshot
An interpretive review of women's experiences of gestational diabetes mellitus: Proposing a framework to enhance midwifery assessment
inferredcites →https://doi.org/10.1016/s0020-7292(15)30007-2openalex-snapshot
The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: A pragmatic guide for diagnosis, management, and care#
inferredcites →https://doi.org/10.1016/s0020-7292(15)30033-3openalex-snapshot
The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: A pragmatic guide for diagnosis, management, and care #
inferredcites →https://doi.org/10.1016/s0140-6736(09)60731-5openalex-snapshot
Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis
inferredcites →https://doi.org/10.1056/nejmoa0707943openalex-snapshot
Hyperglycemia and Adverse Pregnancy Outcomes
inferredcites →https://doi.org/10.1089/tmj.2012.0282openalex-snapshot
Sustaining and Realizing the Promise of Telemedicine
inferredcites →https://doi.org/10.1111/obr.12645openalex-snapshot
Long‐term risk of diabetes in women at varying durations after gestational diabetes: a systematic review and meta‐analysis with more than 2 million women
inferredcites →https://doi.org/10.1177/1932296814556506openalex-snapshot
Acceptability and User Satisfaction of a Smartphone-Based, Interactive Blood Glucose Management System in Women With Gestational Diabetes Mellitus
inferredcites →https://doi.org/10.1177/2325160316661985openalex-snapshot
Diabetes mHealth Applications
inferredcites →https://doi.org/10.1371/journal.pmed.1001382openalex-snapshot
Scaling Up mHealth: Where Is the Evidence?
inferredcites →https://doi.org/10.1530/eje-15-0378openalex-snapshot
ENDOCRINOLOGY OF PREGNANCY: Gestational diabetes mellitus: definition, aetiological and clinical aspects
inferredcites →https://doi.org/10.2196/10235openalex-snapshot
Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature
inferredcites →https://doi.org/10.2196/12106openalex-snapshot
An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study
inferredcites →https://doi.org/10.2196/12856openalex-snapshot
When Chatbots Meet Patients: One-Year Prospective Study of Conversations Between Patients With Breast Cancer and a Chatbot
inferredcites →https://doi.org/10.2196/16222openalex-snapshot
Trust Me, I’m a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test
inferredcites →https://doi.org/10.2196/18301openalex-snapshot
Technical Metrics Used to Evaluate Health Care Chatbots: Scoping Review
inferredcites →https://doi.org/10.2196/18480openalex-snapshot
Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review
inferredcites →https://doi.org/10.2196/20346openalex-snapshot
The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review
inferredcites →https://doi.org/10.2196/jmir.7479openalex-snapshot
Dropout From an eHealth Intervention for Adults With Type 2 Diabetes: A Qualitative Study
inferredcites →https://doi.org/10.2196/mental.7785openalex-snapshot
Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial
inferredcites →https://doi.org/10.2196/mental.9782openalex-snapshot
Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial
inferredcites →https://doi.org/10.2337/dc14-1530openalex-snapshot
Dietary Intervention in Patients With Gestational Diabetes Mellitus: A Systematic Review and Meta-analysis of Randomized Clinical Trials on Maternal and Newborn Outcomes
inferredcites →https://doi.org/10.2337/dc15-s005openalex-snapshot
2. Classification and Diagnosis of Diabetes
inferredcites →https://doi.org/10.4324/9781351033909-7openalex-snapshot
An Overview of IBM® SPSS® Statistics
inferredcites →https://doi.org/10.5324/nje.v23i1.1602openalex-snapshot
Gestational diabetes, insulin resistance and physical activity in pregnancy in a multi-ethnic population – a public health perspective
inferredcites →https://doi.org/10.7146/ksn.v0i0.18331openalex-snapshot
Språket i regelverk – hva er god jus og hva er bare dårlig språk?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-41138-0_8openalex-snapshot
The Human Likeness of Government Chatbots – An Empirical Study from Norwegian Municipalities
inferred← citeshttps://doi.org/10.1007/978-3-031-93109-3_23openalex-snapshot
DyO-Bot: Enhancing the Nonstop Well-Being of Diabetic Patients Through a Virtual Assistant Based on Chatbot-GPT
inferred← citeshttps://doi.org/10.1007/978-3-032-34459-5_20openalex-snapshot
D-Care 2.0: A Multi-tone Multi-LLM Chatbot Assistant for New Diabetes Patients
inferred← citeshttps://doi.org/10.1007/s13410-024-01401-wopenalex-snapshot
Evaluating the accuracy and adequacy of ChatGPT in responding to queries of diabetes patients in primary healthcare
inferred← citeshttps://doi.org/10.1016/j.diabres.2025.112429openalex-snapshot
Conversational agent interventions in diabetes care: a systematic review
inferred← citeshttps://doi.org/10.1016/j.health.2022.100072openalex-snapshot
Evaluating the use of chatbot during pregnancy: A usability study
inferred← citeshttps://doi.org/10.1016/j.ibmed.2025.100261openalex-snapshot
Development of a bilingual healthcare chatbot for pregnant women: A comparative study of deep learning models with BiGRU optimization
inferred← citeshttps://doi.org/10.1016/j.pec.2024.108557openalex-snapshot
Chatbot for patient education for prenatal aneuploidy testing: A multicenter randomized controlled trial
inferred← citeshttps://doi.org/10.1038/s41598-025-24172-8openalex-snapshot
My diabetes care: an AI-based mobile app with conversational agent for type 2 diabetes self-management
inferred← citeshttps://doi.org/10.1093/jamia/ocac200openalex-snapshot
A survey of pregnant patients’ perspectives on the implementation of artificial intelligence in clinical care
inferred← citeshttps://doi.org/10.1093/jamia/ocad222openalex-snapshot
Evaluation framework for conversational agents with artificial intelligence in health interventions: a systematic scoping review
inferred← citeshttps://doi.org/10.1109/access.2026.3730820openalex-snapshot
Glumii: Personalized Supportive Passive-Active Conversational Agents for Pregnant Women With Gestational Diabetes Mellitus
inferred← citeshttps://doi.org/10.1109/icebe68123.2025.00050openalex-snapshot
Advancing Prediabetes Care with Personalised Conversational Agents
inferred← citeshttps://doi.org/10.1109/idciot64235.2025.10915173openalex-snapshot
Advances in AI for Women's Healthcare: A Review of Deep Learning and NLP Approaches
inferred← citeshttps://doi.org/10.1109/seai62072.2024.10674229openalex-snapshot
Applications of Artificial Intelligence in Conversational Agents: A Systematic Literature Review of AI in Chatbots
inferred← citeshttps://doi.org/10.1111/jmwh.13472openalex-snapshot
Insights of Parents and Parents‐To‐Be in Using Chatbots to Improve Their Preconception, Pregnancy, and Postpartum Health: A Mixed Studies Review
inferred← citeshttps://doi.org/10.1159/000546713openalex-snapshot
Enhancing Care in Type 1 Diabetes with Artificial Intelligence Driven Clinical Decision Support Systems
inferred← citeshttps://doi.org/10.1177/20552076241277693openalex-snapshot
Exploring the characteristics of conversational agents in chronic disease management interventions: A scoping review
inferred← citeshttps://doi.org/10.1177/26884844261453447openalex-snapshot
Role of Chatbots on Supporting Women in Perinatal Period: A Scoping Review
inferred← citeshttps://doi.org/10.1371/journal.pone.0290773openalex-snapshot
ChatGPT- versus human-generated answers to frequently asked questions about diabetes: A Turing test-inspired survey among employees of a Danish diabetes center
inferred← citeshttps://doi.org/10.2196/52973openalex-snapshot
Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Management: Protocol for a Systematic Review
inferred← citeshttps://doi.org/10.2196/60380openalex-snapshot
Application of Chatbots to Help Patients Self-Manage Diabetes: Systematic Review and Meta-Analysis
inferred← citeshttps://doi.org/10.2196/67913openalex-snapshot
Engagement With Conversational Agent–Enabled Interventions in Cardiometabolic Disease Self-Management: Systematic Review
inferred← citeshttps://doi.org/10.2196/72553openalex-snapshot
Generative AI Chatbot for Diabetes Management: Formative 2-Part Qualitative Study Using DTalksBot Involving Patients and Clinicians
inferred← citeshttps://doi.org/10.2196/preprints.49611openalex-snapshot
Usability, Satisfaction, and Post-use Health Problems of a Medical Chatbot Service Providing Medicine Use Recommendations for Women during Pregnancy and Lactation in Japan (Preprint)
inferred← citeshttps://doi.org/10.32457/ijmss.v10i4.2413openalex-snapshot
Chatbots for Promoting Healthy Habits and Scientific Culture
inferred← citeshttps://doi.org/10.3389/fpubh.2023.1185702openalex-snapshot
Can digital health researchers make a difference during the pandemic? Results of the single-arm, chatbot-led Elena+: Care for COVID-19 interventional study
inferred← citeshttps://doi.org/10.3389/frai.2025.1640994openalex-snapshot
Evaluating a retrieval-augmented pregnancy chatbot: a comprehensibility–accuracy-readability study of the DIAN AI assistant
inferred← citeshttps://doi.org/10.3390/healthcare13040363openalex-snapshot
Interactive Conversational Agents for Perinatal Health: A Mixed Methods Systematic Review
inferred← citeshttps://doi.org/10.7759/cureus.111334openalex-snapshot
The Role of Artificial Intelligence Chatbots in Chronic Disease Care: A Systematic Review of Current Evidence and Future Directions
inferred← citeshttps://doi.org/10.7759/cureus.38380openalex-snapshot
A Critical Review of ChatGPT as a Potential Substitute for Diabetes Educators
inferred← citeshttps://doi.org/10.7759/cureus.94662openalex-snapshot
Comparing Artificial Intelligence and Obstetrics Residents in Answering Standardized Patient Questions Regarding Gestational Diabetes
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