Detecting depression is a critical component of mental health diagnosis, and accurate assessment is essential for effective treatment. This study introduces a novel, fully automated approach to predicting depression severity using the E-DAIC dataset. We employ Large Language Models (LLMs) to extract depression-related indicators from interview transcripts, utilizing the Patient Health Questionnaire-8 (PHQ-8) score to train the prediction model.
View Article and Find Full Text PDFBackground: Dysfunctional depressogenic cognitions are considered a key factor in the etiology and maintenance of depression. In cognitive behavioral therapy (CBT), the current gold-standard psychotherapeutic treatment for depression, cognitive restructuring techniques are employed to address dysfunctional cognitions. However, high drop-out and non-response rates suggest a need to boost the efficacy of CBT for depression.
View Article and Find Full Text PDFLymphatic leaks are well-known complications of major thoracic or abdominal surgeries, which significantly heighten morbidity and mortality rates. While the existing literature provides insights into managing these post-operative leaks, with a step-up approach from conservative measures (CMs) to surgical intervention, there are no standardized treatment guidelines. The purpose of this paper is to offer a management algorithm of post-operative lymphatic leaks based on a systematic literature review (SLR) of the therapeutic effect of Lipiodol lymphangiography (LL), completed by a case series of five patients who underwent LL in our department.
View Article and Find Full Text PDFPurpose: Approximately 7% of patients with rectal cancer experience local recurrence within 5 years of curative surgery. A positive circumferential resection margin (CRM) is among the most significant risk factors. Other reported risk factors include histopathologic type, anastomotic leakage, positive distal margins, and more recently, the anterior localization of the tumor.
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