| Abstract | Title of the Paper : PSYCHOLOGICAL DIMENSIONS AND PATIENT CHALLENGES IN EARLY LUNG CANCER DETECTION
USING AI-BASED SEGMENTATION ON CHEST RADIOGRAPHS
Journal Name : International Journal of Cultural Studies and Social Sciences
Volume : Vol.22, Issue 2, No.1, July 2025
ISSN Number : 2347-4777
Early detection of lung cancer significantly improves survival rates, yet the psychological dimensions
of the diagnostic process remain underexplored. This study investigates the emotional, cognitive, and
behavioral responses of patients undergoing early lung cancer screening using AI-based segmentation
on chest radiographs. By integrating psychological assessments with technological diagnostics, the
research identifies common patient challenges, including anxiety, stigma, decisional conflict, and fear
of false positives. Statistical analysis of patient feedback and mental health screenings highlights a
notable correlation between early detection methods and elevated short-term anxiety, despite longterm
reassurance post-diagnosis. Literature review and case studies reveal that tailored counseling and
patient-centered communication significantly mitigate distress. Recommendations emphasize
integrating psychosocial support with AI-driven diagnostics to enhance patient outcomes holistically.
The findings advocate for multidisciplinary collaboration between radiologists, oncologists, and
mental health professionals in implementing advanced screening technologies.
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