JPRN-UMIN000044108招募中未知
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
Department of Anesthesiology, Yamagata University School of Medicine0 个研究点目标入组 200 人开始时间: 2021年5月24日最近更新:
适应症
试验速览
- 阶段
- 未知
- 状态
- 招募中
- 发起方
- 入组人数
- 200
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 20years-old 至 ot applicable(—)
- 性别
- All
入选标准
- 未提供
排除标准
- •Patients who were not able to cooperate in the study.
研究者
相似试验
已完成
不适用
Development and exploration of an AI model to classify healthy subject and suspected schizophrenia patient based on free conversations with medical staffSchizophreniaJPRN-jRCT1030210514Yuichiro Tsutsumi150
招募中
不适用
Development and exploration of an AI model to classify schizophrenia with signs of relapse and schizophrenia with no signs of relapse based on free conversations with medical staffSchizophreniaJPRN-jRCT1030220320Toyoshiba Hiroyoshi100
尚未招募
不适用
sing artificial intelligence (AI) (Deep Learning) to create an AI Model for automating assessment Of vertebral pathologies by quantifying the signal drop on in and out-phase component of Chemical Shift Imaging (CSI) sequence on MRI spineCTRI/2022/07/044330Dr DY Patil Hospital College and Research Center Pune
Unknown
不适用
Computational Modeling for Prediction of Acoustic Changes in Vowel Production Due to Orthognathic SurgeryJaw DeformityFacial AsymmetryNCT01887977Turku University Hospital20
尚未招募
不适用
Building a machine learning-based evaluation model of pain intensity and treatment prognosis by analyzing epidurogram contrast patterns in patients with lumbar spinal pain.KCT0007931The Catholic University of Korea, Eunpyeong St. Mary's Hospital1,000
