Evidence map›Paper›PMID 40963532›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2025

The Voice of Endo: Leveraging Speech for an Intelligent System That Can Forecast Illness Flare-ups.

Adrienne Pichon, Jessica R Blumberg, Lena Mamykina, Noémie Elhadad

Abstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adrienne PichonColumbia University, Department of Biomedical Informatics, New York, NY, USA.ORCID 0000-0002-9393-3410
Jessica R BlumbergUniversity of Delaware, Newark, DE, USA.ORCID 0009-0003-6977-0855
Lena MamykinaColumbia University, Department of Biomedical Informatics, New York, NY, USA.ORCID 0000-0001-5203-274X
Noémie ElhadadColumbia University, Department of Biomedical Informatics, New York, NY, USA.ORCID 0000-0001-9721-5240

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
PhendoPHL:A Data-Science Enabled Personal Health Library to Manage EndometriosisR01LM013043 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELHADAD, NOEMIE · 2019 to 2022
$1.4M
NLM NIH HHS R01 LM013043NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

Managing complex chronic illness is challenging due to its unpredictability. This paper explores the potential of voice for automated flare-up forecasts. We conducted a six-week speculative design study with individuals with endometriosis, tasking participants to submit daily voice recordings and symptom logs. Through focus groups, we elicited their experiences with voice capture and perceptions of its usefulness in forecasting flare-ups. Participants were enthusiastic and intrigued at the potential of flare-up forecasts through the analysis of their voice. They highlighted imagined benefits from the experience of recording in supporting emotional aspects of illness and validating both day-to-day and overall illness experiences. Participants reported that their recordings revolved around their endometriosis, suggesting that the recordings' content could further inform forecasting. We discuss potential opportunities and challenges in leveraging the voice as a data modality in human-centered AI tools that support individuals with complex chronic conditions.

Indexed as

chronic illnessforecastingvoice analysis

Identifiers

PMID40963532
PMCPMC12439622

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.