Clinical Scorecard: Identifying Anxiety and Depression in Cancer Patients Through Speech Patterns and Facial Cues

At a Glance

Key Highlights

• Depression prevalence among cancer survivors is 33.16%; anxiety prevalence is 30.55%.
• Traditional assessments often overlook psychological distress in 30% to 50% of patients.
• The multimodal model achieved an F1 value of 0.85 for depression and 0.74 for anxiety.
• Utilizes speech and facial cues as digital biomarkers for objective screening.
• Highlights the need for noninvasive, efficient psychological assessments.

Guideline-Based Recommendations

Diagnosis

• Implement multimodal assessments to enhance detection of anxiety and depression.

Management

• Integrate psychological support into routine oncological care.

Monitoring & Follow-up

• Use speech and facial expression analysis for ongoing psychological status evaluation.

Risks

• Undiagnosed anxiety and depression can lead to increased cancer-related complications and mortality.

Patient & Prescribing Data

Cancer patients experiencing psychological distress.

Objective screening methods can improve identification and management of mental health issues.

Clinical Best Practices

• Adopt multimodal frameworks for psychological assessments in cancer care.
• Train healthcare providers to recognize non-verbal cues of distress.
• Encourage the use of digital biomarkers to reduce stigma in mental health reporting.

Related Resources & Content

• The Lancet