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The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study

The Effectiveness of a Custom AI Chatbot for Type 2 Diabetes Mellitus Health Literacy: Development and Evaluation Study

The system (Figure 3) was designed around a custom conversational agent chatbot [26] to address several limitations associated with the public Open AI chatbot interface, particularly with regard to prompt control, user privacy, and the relevance of the source material. To ensure controlled interactions, the chatbot was programmed using a fixed, carefully constructed prompt that guided all responses.

Anthony Kelly, Eoin Noctor, Laura Ryan, Pepijn van de Ven

J Med Internet Res 2025;27:e70131

Development and Systematic Evaluation of a Progressive Web Application for Women With Cardiac Pain: Usability Study

Development and Systematic Evaluation of a Progressive Web Application for Women With Cardiac Pain: Usability Study

In scenario 1 of cycle 1 (sign-in, chatbot, and Event Profile), participants reported a low contrast between the text and the background and small font at sign-in. Participants also wanted clarification that the chatbot was not a real person.

Monica Parry, Tony Huang, Hance Clarke, Ann Kristin Bjørnnes, Paula Harvey, Laura Parente, Colleen Norris, Louise Pilote, Jennifer Price, Jennifer N Stinson, Arland O’Hara, Madusha Fernando, Judy Watt-Watson, Nicole Nickerson, Vincenza Spiteri DeBonis, Donna Hart, Christine Faubert

JMIR Hum Factors 2025;12:e57583

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Reference 4: Evaluation of oropharyngeal cancer information from revolutionary artificial intelligence chatbot Reference 15: Developing an AI-assisted educational chatbot for radiotherapy using the IBM Watson assistantchatbot

Ana Grilo, Catarina Marques, Maria Corte-Real, Elisabete Carolino, Marco Caetano

JMIR Cancer 2025;11:e63677

Primary Technology-Enhanced Care for Hypertension Scaling Program: Trial-Based Economic Evaluation Examining Effectiveness and Cost-Effectiveness Using Real-World Data in Singapore

Primary Technology-Enhanced Care for Hypertension Scaling Program: Trial-Based Economic Evaluation Examining Effectiveness and Cost-Effectiveness Using Real-World Data in Singapore

The program comprises the following three components: (1) remote monitoring of BP with a Bluetooth-enabled BP machine at least once a week with the readings transmitted to the public primary care clinic through the Health Discovery+ app; (2) care team support including monitoring of transmitted readings every month, contacting the patient via teleconsultations if their condition is not well-controlled or needs medication titration; and (3) in-app support with the provision of digital chatbot through helpful

Yi Wang, Shilpa Tyagi, David Wei Liang Ng, Valerie Hui Ying Teo, David Kok, Dennis Foo, Gerald Choon-Huat Koh

J Med Internet Res 2025;27:e59275

MARIA (Medical Assistance and Rehabilitation Intelligent Agent) for Medication Adherence in Patients With Heart Failure: Empirical Results From a Wizard of Oz Systematic Conversational Agent Design Clinical Protocol

MARIA (Medical Assistance and Rehabilitation Intelligent Agent) for Medication Adherence in Patients With Heart Failure: Empirical Results From a Wizard of Oz Systematic Conversational Agent Design Clinical Protocol

It will fill the gap of the existing studies in the DH domain in designing a CA (or chatbot) that encourages and educates patients about medication adherence. In the following subsections, we will review the prior work in related research studies. To fill the gap in the existing studies and strategically motivate patients to change medication adherence behavior, we searched for suitable psychological theories to support our CA dialogue.

Nik Nailah Abdullah, Jia Tang, Hemad Fetrati, Nor Fadhilah Binti Kaukiah, Sahrin Bin Saharudin, Vee Sim Yong, Chia How Yen

JMIR Cardio 2025;9:e55846

Development of a Mobile Intervention for Procrastination Augmented With a Semigenerative Chatbot for University Students: Pilot Randomized Controlled Trial

Development of a Mobile Intervention for Procrastination Augmented With a Semigenerative Chatbot for University Students: Pilot Randomized Controlled Trial

To verify the effects of the chatbot intervention, we calculated the chatbot engagement score exclusively for the treatment group. This score incorporated several elements, including the length and duration of user responses and emotional scores derived from conversations with Moa.

Seonmi Lee, Jaehyun Jeong, Myungsung Kim, Sangil Lee, Sung-Phil Kim, Dooyoung Jung

JMIR Mhealth Uhealth 2025;13:e53133

Chatbot to Support the Mental Health Needs of Pregnant and Postpartum Women (Moment for Parents): Design and Pilot Study

Chatbot to Support the Mental Health Needs of Pregnant and Postpartum Women (Moment for Parents): Design and Pilot Study

This study aimed to (1) design and develop a chatbot tailored specifically to educate and support pregnant and postpartum people on emotional well-being and mental health and (2) evaluate the usability of Moment for Parents in a pilot test by examining usage patterns, engagement levels, and user experience. This study used a HCD approach to develop the Moment for Parents chatbot.

Kelsey McAlister, Lara Baez, Jennifer Huberty, Marianna Kerppola

JMIR Form Res 2025;9:e72469