CTRI/2024/04/065171尚未招募Unknown
To study the potential of a predictive Artificial Intelligence tool to foster early identification of symptoms and criticality in breast and cervical cancers in Indian patients. - NI
AIIMS New Delhi0 个研究点目标入组 0 人开始时间: 待定最近更新:
试验速览
- 阶段
- Unknown
- 状态
- 尚未招募
- 发起方
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
入选标准
- •1.Patient with diagnoses of carcinoma breast and carcinoma cervix
- •2.Willing to give consent for enrollment in the study.
- •4.Able to understand Hindi or English
- •5.Able to communicate properly
排除标准
- •1. Unable to understand or answer a clinician-administered ESAS symptom questionnaire
研究者
相似试验
尚未招募
不适用
Artificial intelligence for prediction of spontaneous loss of stones in patients with symptomatic ureter stonesN20N13Calculus of kidney and ureterObstructive and reflux uropathyDRKS00023527Klinikum Nuernberg250
尚未招募
Unknown
sing Artificial Intelligence To Predict How Well Will Be The Functional Recovery After StrokeCTRI/2024/01/061013KAHER Institute of Physiotherapy
已完成
不适用
Development of an AI-based system for predicting falls and fall-related injuries in hospitalsone (All patients admitted during the study period)JPRN-UMIN000041289Fujita Health University69,291
招募中
Unknown
Artificial Intelligence Predicts Refractory Septic Shock in Sepsis Patients: A Validated Model for Early predictioCTRI/2024/06/069604Mukkelli Vinay Gandhi
尚未招募
Unknown
A study to use Artificial Intelligence to predict the outcomes of advanced stage Hodgkin LymphomaCTRI/2024/02/062294KOITA CENTRE FOR DIGITAL HEALTH(KCDH)
