Dialectical Behavior Therapy as an intervention for Treatment Resistant Depression in adults: A protocol for systematic review and meta-analysis.

Background: Major Depressive Disorder is a long-term, recurring, and very common illness that is associated with a significant decline in functional ability. The gold-standard method of treating depression is pharmacotherapy, which involves the use of antidepressant medications either alone or in various combinations. However, approximately 30% of Major Depressive Disorder patients suffer from Treatment Resistant Depression, a more severe condition that has a profound impact on patients' lives.

Treatment of depression during pregnancy: a protocol for systematic review and meta-analysis.

Introduction: Major Depressive Disorder (MDD) is a chronic, recurrent, and highly prevalent disease that is associated with significant functional disability. During pregnancy, the prevalence of the disease is approximately 20%, with 12% of these, requiring treatment to avoid important negative consequences for the mother-baby binomial. Risk-benefit assessment of the use of antidepressants during pregnancy is mandatory, in addition to knowledge of the long-term effects of prenatal exposure to these drugs in the offspring.

Medication Non-adherence in Depression: A Systematic Review and Metanalysis.

Objective: Medication non-adherence is frequently reported in patients with major depressive disorder (MDD). The objective of this review is to consolidate data on the prevalence of non-adherence to antidepressant in MDD.

Methods: A systematic review with meta-analysis was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline and the protocol was registered in PROSPERO under the number CRD42021199987.

Safety Issues in the Development of an Innovative Medical Parallel Robot Used in Renal Single-Incision Laparoscopic Surgery.

Robotic-assisted single-incision laparoscopic surgery (SILS) is becoming an increasingly widespread field worldwide due to the benefits it brings to both the patient and the surgeon. The goal of this study is to develop a secure robotic solution for SILS, focusing specifically on urology, by identifying and addressing various safety concerns from an early design stage. Starting with the medical tasks and protocols, the technical specifications of the robotic system as well as potential; hazards have been identified.

Artificial Intelligence-Based Hazard Detection in Robotic-Assisted Single-Incision Oncologic Surgery.

The Problem: Single-incision surgery is a complex procedure in which any additional information automatically collected from the operating field can be of significance. While the use of robotic devices has greatly improved surgical outcomes, there are still many unresolved issues. One of the major surgical complications, with higher occurrence in cancer patients, is intraoperative hemorrhages, which if detected early, can be more efficiently controlled.