Multimodal Artificial Intelligence for Detecting the Psychological State of Cancer Patients
NCT07751757 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 1500
Last updated 2026-08-14
Summary
Artificial intelligence (AI) technology is expected to assist clinical doctors in promptly identifying cancer patients at risk of developing psychological issues and to develop preemptive management plans, thereby enhancing their quality of life. Computer vision technology can directly capture and extract subtle changes in skin color from facial images in videos, assess heart rate using signal processing algorithms, and also extract facial expressions to evaluate psychological conditions through facial expression change signal processing algorithms. The accuracy rate can exceed 88%. By leveraging the capabilities of computer vision technology, it can accurately capture subtle movements and expressions of the human body, thereby understanding the internal psychological state and obtaining relevant psychological information
Conditions
Sponsors & Collaborators
-
Chinese PLA General Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-03-01
- Primary Completion
- 2028-12-31
- Completion
- 2028-12-31
Countries
- China
Study Locations
More Related Trials
-
Multimodal Model Predicts Recurrence
NCT06690268 ·Status: COMPLETED
-
Artificial Intelligence Neuropathologist
NCT05300113 ·Status: UNKNOWN
-
AI-assisted Diagnosis of Malignant Brain Tumors
NCT07198256 ·Status: RECRUITING
-
AI-Assisted Comprehensive Management for Cancer Patients With Comorbidities (GCOG-CG001)
NCT07136727 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Research on Construction and Verification of Multimodal Medical Imaging Large Model
NCT07445152 ·Status: NOT_YET_RECRUITING
-
Multimodal AI for Predicting Response to Neoadjuvant Immunotherapy in Gastric Cancer (PRISM-GC)
NCT07401199 ·Status: RECRUITING
-
Predicting Gastric Cancer Response to Chemo With Multimodal AI Model
NCT06451393 ·Status: RECRUITING
-
Artificial Intelligence-powered Low-Dose Computed Tomography for Screening of Pancreatic Cancer
NCT07117045 ·Status: RECRUITING
-
Artificial Intelligence-Based Early Warning for Distant Metastasis in Malignant Tumors
NCT07616011 ·Status: NOT_YET_RECRUITING
-
Research of Pathological Imaging Diagnosis of Ocular Tumors Based on New Artificial Intelligence Algorithm
NCT04695015 ·Status: UNKNOWN
-
Artificial Intelligence Model-Assisted Accurate Diagnosis of Early-Stage Breast Cancer
NCT07063667 ·Status: NOT_YET_RECRUITING
-
Multimodal Deep Learning for Lymph Node Metastasis Prediction and Physician Performance Assessment in T1 Gastric Cancer
NCT07124754 ·Status: RECRUITING
-
OSPM-Enhanced AI Model to Identify Premalignant and Malignant Ocular Surface Tumors
NCT06567028 ·Status: COMPLETED
-
Prediction of Occult Peritoneal Metastasis of Locally Advanced Gastric Cancer Using Multimodal Data Based on Artificial Intelligence Combined With Intraoperative Dynamic Video
NCT06478368 ·Status: COMPLETED
-
Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
NCT05426135 ·Status: RECRUITING
-
Radiomics Based on Multimodal Imaging in Predicting Staging and Prognosis of Pancreatic Cancer
NCT04954378 ·Status: COMPLETED
-
Digital Phenotyping of Psychological Distress in Skin Cancer Patients
NCT07670403 ·Status: COMPLETED
-
AI-Assisted System for Accurate Diagnosis and Prognosis of Breast Phyllodes Tumors
NCT06286267 ·Status: RECRUITING
-
AI-Based Prediction of Lymph Node Metastasis in Gastric Cancer Using Preoperative Multimodal Data
NCT06957678 ·Status: ENROLLING_BY_INVITATION
-
Artificial Intelligence for Early Diagnosis of Esophageal Squamous Cell Carcinoma
NCT03759756 ·Status: COMPLETED
-
Study on the Effectiveness of Gastroscope Operation Quality Control Based on Artificial Intelligence Technology
NCT04384575 ·Status: COMPLETED
-
Machine Learning-based Early Clinical Warning of High-risk Patients
NCT05410171 ·Status: UNKNOWN ·Phase: NA
-
Artificial Intelligence-based Mortality Prediction Among Cancer Patients in the Hospice Ward
NCT04883879 ·Status: UNKNOWN
-
Comparison of MRI Artificial Intelligence-guided cTB Versus Routine cTB in Prostate Cancer Diagnosis
NCT06392737 ·Status: RECRUITING ·Phase: NA
-
AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
NCT06035250 ·Status: RECRUITING