NL-OMON49938已完成不适用
Tracking of Nutritional Intake using Artificial Intelligence (TONI-AI) - TONI-AI
5M ICT0 个研究点目标入组 4 人开始时间: 待定最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 4
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
- 18 至 64（—）
入选标准
- •- A DSM 5 binge eating disorder diagnosis
- •- Being in treatment for BED at the Centre for Eating Disorders
- •- Age 18-64
排除标准
- •- Having a history of another eating disorder than BED
- •- Age < 18 & > 64
研究者
相似试验
招募中
不适用
Recording and assessing the nutritional status of older people through the use of a digital tablet app and the resulting therapeutic consequences - A validation-studyAgreement of the statements and nutritional reference values, captured by the tablet-based app and by the 24-hour-recallDRKS00032600Carl von Ossietzky Universität Oldenburg, Fakultät VI - Medizin und Gesundheitswissenschaften, Department für Versorgungsforschung, Nachwuchsgruppe Ernährung und Funktionalität im Alter100
招募中
不适用
Proposed brief nutritional assessment method for older inpatients.Rehabilitation unit inpatients (regardless of disease)JPRN-UMIN000048754Seijoh University1,000
招募中
不适用
Passive Dietary Intake Assessment StudyDietary Intake AssessmentPassive Dietary MonitoringMalnutritionNCT03723460Imperial College London264
进行中（未招募）
不适用
Collecting Dietary Information From People Undergoing Cancer TreatmentReceiving Allogeneic Hematopoietic Cell TransplantsNCT05404009Memorial Sloan Kettering Cancer Center150
尚未招募
Unknown
Assessment of food intake in autism spectrum disorder children in relation to social and thinking abilities.CTRI/2024/01/061564DrNiharika M