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In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.

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Background: In difficult colorectal cases, surgeons may opt for a hand-assisted laparoscopic (HALS) colectomy or attempt a laparoscopic surgery that may require an unplanned conversion to open (LCOS). We aimed to compare the clinical outcomes of these 2 types of surgeries.

Methods: Colectomies for acute diverticulitis with a HALS or LCOS surgery were selected from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2022 Targeted Colectomy Database.

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Objectives: This study aimed to validate the hazard perception task developed for Japanese drivers with brain damage.

Methods: A total of 36 professional driving instructors, 67 older adult drivers, 39 young drivers, and 72 patients with brain damage participated in the study. A video-based hazard perception task measured the hazard perception skills of each group.

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One of the biggest public health problems globally is that of iron deficiency anemia. The present research aimed to determine the effect of prebiotics along with iron fortification on iron biomarkers in female anemic rats as some evidence suggests that prebiotics convert increase the solubility of iron, thereby enhancing its absorption. A total of 126 Sprague Dawley rats were fed with sixteen different types of fortified feed containing prebiotics (Inulin + Galacto Oligosaccharides) and Iron Fortificants (Sodium Ferric Ethylenediaminetetraacetate + Ferrous Sulphate).

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Demonstration of sizing nursing staff methods in intensive care.

Rev Lat Am Enfermagem

January 2025

Universidade Federal do Rio Grande do Sul, Escola de Enfermagem, Porto Alegre, RS, Brazil.

Objective: to demonstrate the sizing of intensive care nursing staff estimated by two calculations, using the Nursing Activities Score as one of its central components.

Method: descriptive, retrospective study that compiled the Nursing Activities Score scores of patients in five Intensive Care Units of a hospital in southern Brazil. Two calculations were used to size the nursing staff.

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