Early detection of suspicious pigmented skin lesions is crucial for improving the outcomes and survival rates of skin cancers. However, the accuracy of clinical diagnosis by primary care physicians (PCPs) is suboptimal, leading to unnecessary referrals and biopsies. In recent years, deep learning (DL) algorithms have shown promising results in the automated detection and classification of skin lesions.
View Article and Find Full Text PDFIntroduction: Controversy exists regarding the use of NPWT for wound healing.
Objective: This study assessed the effectiveness of NPWT compared with conventional treatment in the management of different wound types, including acute and chronic wounds.
Materials And Methods: PubMed, Cochrane Central Register of Controlled Trials, Scopus, EMBASE, EBSCO, Ovid, and Web of Science were searched, from database inception up to October 2021, for relevant studies comparing NPWT with conventional treatment for wound healing.
Objective: To evaluate the evidence about the safety and efficacy of tramadol in pain relief during diagnostic outpatient hysteroscopy (OH).
Design: Systematic review and meta-analysis of randomized controlled trials.
Setting: Not applicable.
Background: Primary spontaneous pneumothorax (PSP) remains a significant global health problem. Despite general agreement, an official algorithm for the management of PSP still does not exist.
Objectives: Evaluating the efficacy of all available treatments in PSP.