Publications by authors named "N Adler"

Objective: Overweight and obesity are health issues that are increasing worldwide. Patients with severe mental illness are particularly vulnerable for various reasons, including the intake of weight gain-associated drugs. In this pilot study, we targeted eating behavior as a predictor for medication-induced weight gain and developed a module of a prevention program ("Eating More Consciously") to be evaluated by psychiatric inpatients.

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Background: Over the past 2 decades, vertical scar reduction mammaplasty techniques have been gaining more acceptance. However, many surgeons are still hesitant to use it routinely because of the uncertainty of the effectiveness of vertical scar techniques in managing lower pole skin excess. We aimed to test its efficacy by using objective anthropometric measurements to evaluate long-term breast shape and lower pole stability.

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Photobiomodulation (PBM) is a technology that has gained much attention in recent years regarding its potential application for stimulating wound healing, alleviating pain, reducing inflammation, and aiding in the restoration of function. Due to a scarcity of evidence in the literature regarding PBM for the treatment of burns, our objective of this study was to test whether treatment with PBM in hospitalized patients with second-degree burns accelerated recovery. A double-blind controlled study was conducted on nine patients with up to 15% second-degree burns who were hospitalized at Hadassah-Hebrew University Medical Center, Ein Kerem Campus, Jerusalem Israel, between July 2022 and November 2022.

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Article Synopsis
  • Skin cancer diagnosis relies heavily on image quality, particularly the impact of HDR-enhanced images, on clinicians' and AI models' accuracy.
  • A study with 18 dermatology clinicians assessed 303 skin lesion images classified into low, high, and enhanced quality, finding the best diagnostic performance with high-quality images.
  • While clinicians outperformed a CNN model in diagnosing low and enhanced quality images, the CNN excelled in multiclass classification with high-quality images, showing the varying effectiveness of image quality in diagnostics.
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