ArticleDigital health
Integrating ChatGPT: Enhancing postpartum mental healthcare with artificial intelligence (AI) support.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study.JMIR formative research · 2026Article
- Application value and controversies of artificial intelligence in public health prevention and control of postpartum depression.Frontiers in public health · 2026Article
- Data to decisions in pediatric post-cardiac arrest care using coding and large language models.Resuscitation plus · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We are writing to extend the discourse on the innovative work published in digital health on the feasibility of videoconferencing-based therapy groups for postpartum depression and anxiety. The pragmatic evaluation demonstrated promising outcomes in terms of acceptability, appropriateness, and group process, suggesting that this modality is a viable alternative to traditional in-person therapy, especially in addressing the challenges faced by new mothers. Building on this study, we propose considering the integration of artificial intelligence (AI)-driven tools such as ChatGPT2 into such group therapy settings. ChatGPT, a large language model developed by OpenAI, has demonstrated considerable potential in generating therapeutic dialogs, offering empathetic responses, and assisting in therapeutic guidance. It can be employed as a supplementary tool to enhance the therapeutic process by providing personalized, real-time responses during or between sessions.
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What Socratic 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 Socratic graph.