Creating an AI model for hoarseness classification using speech analysis in the perioperative period

Creating an AI model for hoarseness classification using speech analysis in the perioperative period - Creating an AI model for hoarseness classification using speech analysis in the perioperative period

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000044108

Enrollment

200

Registered

2021-05-24

Start date

2021-05-24

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Thyroid Surgery Esophageal Cancer Surgery Dissociative Aortic Aneurysm Surgery

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients scheduled for esophageal cancer surgery, dissecting aortic aneurysm surgery, or thyroid surgery at Yamagata University Hospital.

Exclusion criteria

Exclusion criteria: Patients who were not able to cooperate in the study.

Design outcomes

Primary

Measure	Time frame
The purpose of this study is to create an AI model for hoarseness classification using a speech analysis system.	—

Countries

Japan

Contacts

Public ContactTatsuya Hayasaka

Yamagata University Hospital Department of Anesthesia

hayasakatatsuya1101@gmail.com023-628-5400

Outcome results