Multimodal Artificial Intelligence for Detecting the Psychological State of Cancer Patients
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Neoplasm. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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
Primary outcome measures
- Area Under the Receiver Operating Characteristic Curve (AUC) of the Multimodal Machine Learning Model for Anxiety and Depression Screening [Time frame: Data collected at two time points: 1 day pre-operatively and at ≤7 days post-operatively or at discharge, whichever came first]
Eligibility criteria
nclusion criteria: 1. Age ≥18 years old; 2. Patients with tumors diagnosed by magnetic resonance imaging or contrast-enhanced ultrasound; 3. The patient has self-awareness and is able to cooperate with the research. 4. Patients who voluntarily undergo psychological assessment tests Exclusion criteria: 1. Age ≤18 years old; 2. Not diagnosed as a tumor patient; 3. Lack of autonomy and inability to conduct cooperative research.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- Chinese PLA Hospital — Beijing
Identifiers
NCT: NCT07751757 · AIPSY · 82030047