This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Generative Language Models Including ChatGPT (708) Supporting Informal Care and Caregivers (381) Supporting Home Care and Family Caregivers (262) Machine Learning (2076)

Published on in Vol 8 (2024)

This is a member publication of University of Pittsburgh

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54633, first published .
A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study

A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study

A Reliable and Accessible Caregiving Language Model (CaLM) to Support Tools for Caregivers: Development and Evaluation Study

Authors of this article:

Bambang Parmanto1 Author Orcid Image ;   Bayu Aryoyudanta1 Author Orcid Image ;   Timothius Wilbert Soekinto1 Author Orcid Image ;   I Made Agus Setiawan1 Author Orcid Image ;   Yuhan Wang1 Author Orcid Image ;   Haomin Hu1 Author Orcid Image ;   Andi Saptono1 Author Orcid Image ;   Yong Kyung Choi1 Author Orcid Image
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  5. Amugongo L, Mascheroni P, Brooks S, Doering S, Seidel J, Liu X. Retrieval augmented generation for large language models in healthcare: A systematic review. PLOS Digital Health 2025;4(6):e0000877 View
  6. Idan D, Einav S. Primer on large language models: an educational overview for intensivists. Critical Care 2025;29(1) View
  7. Macieira T, Bjarnadottir R, Salgado P, Baranwal A, Semenov A, Priola K, Pestana P, Okafor S, Mena N, Montoya N, Sargent L, Presley A, Yao Y, Keenan G. Making nursing visible: AI-assisted standardization of electronic health record interventions using generative pre-trained transformer models and retrieval-augmented generation process. Nursing Outlook 2025;73(5):102494 View
  8. Zheng W, Arakawa Y. A Review of Wearables-Based Activities of Daily Living Recognition With LLMs: Overview, Progress, and Trends. IEEE Access 2025;13:143813 View
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  10. Anghelescu A, Munteanu C, Anghelescu L, Onose G. ”A Midsummer Night’s Dream” quest for truth: From ChatGPT “hallucinations” to RAG reasoning and ACURAI precision — a scoping review on detection, minimizing, and (almost) complete error elimination and enhancing Large Language Models' re-liability. Balneo and PRM Research Journal 2025;16(Vol 16 No. 3):847 View
  11. Peled-Cohen L, Reichart R. A Systematic Review of NLP for Dementia: Tasks, Datasets, and Opportunities. Transactions of the Association for Computational Linguistics 2025;13:1204 View
  12. Abo El-Enen M, Saad S, Nazmy T. A survey on retrieval-augmentation generation (RAG) models for healthcare applications. Neural Computing and Applications 2025;37(33):28191 View
  13. Zhou H, Zhu Z, Oh K, Hong S. Empowering Informal Caregivers of Persons with Early-Stage Dementia by Large Language Models: Mixed Methods Evaluation (Preprint). JMIR Formative Research 2025 View

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  1. Bahramnezhad F, Khanipour-Kencha A. Self-Care in the Elderly. View

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  2. Pawana I, Purnama F, Linawati , Kim Y, You I. 2025 1st International Conference on Consumer Technology (ICCT-Pacific). Generative AI for Cybersecurity: LLM-Driven Attack Dataset Augmentation in Web API Detection View