Artificial Intelligence in Communication Sciences and Disorders: Introduction to the Forum.

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

4 citing papers in PubMed.

1. Artificial intelligence and hearing health: a global evidence review of biases and equity implications for Africa.Global health action · 2026
   Review
2. Automatic Speech Recognition and Acoustic Analysis for Dysarthria Assessment in Telerehabilitation: User-Centered Design and Usability Study.JMIR formative research · 2026
   Article
3. Transforming Speech-Language Pathology with AI: Opportunities, Challenges, and Ethical Guidelines.Healthcare (Basel, Switzerland) · 2025
   Review
4. Artificial Intelligence in Speech and Language Therapy: A Qualitative Comparative Analysis of Clinical Applications and Outcomes.Inquiry : a journal of medical care organization, provision and financing
   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

1 author.

Funding

Abstract

PubMed holds no abstract for this paper.