AIMC Topic: Costs and Cost Analysis

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Leveraging image complexity in macro-level neural network design for medical image segmentation.

Scientific reports
Recent progress in encoder-decoder neural network architecture design has led to significant performance improvements in a wide range of medical image segmentation tasks. However, state-of-the-art networks for a given task may be too computationally ...

Cost analysis of training residents in robotic-assisted surgery.

Surgical endoscopy
INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to higher costs. We investigated whether senior resident involvement in noncomplex robotic cholecystectomy (RC) and inguinal hernia (RIH) would take more t...

Visual SLAM: What Are the Current Trends and What to Expect?

Sensors (Basel, Switzerland)
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that em...

Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier.

Scientific reports
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching effects. It's Zero-day variants are even more hazardous, as less is known about them. In this regard, when used for ransomware attack detection, conventional mac...

[Robot-assisted Thoracic Surgery: Learning Curve and Cost Analysis in a German High-Volume Centre].

Zentralblatt fur Chirurgie
Robot-assisted thoracic surgery (RATS) is a rapidly evolving surgical technique in Europe. The aim of the study was to analyse the learning curve and safety during the establishment of a RATS-program at a high-volume thoracic surgery centre and to qu...

Versatile memristor for memory and neuromorphic computing.

Nanoscale horizons
The memristor is a promising candidate to implement high-density memory and neuromorphic computing. Based on the characteristic retention time, memristors are classified into volatile and non-volatile types. However, a single memristor generally prov...

[Artificial intelligence for medical information departments : construction and evaluation of a decision-making tool to identify and prioritize stays of which the PMSI coding could be optimized, and to ensure the revenues generated by activity-based pricing].

Revue d'epidemiologie et de sante publique
BACKGROUND: Medical Information Departments help to optimize the hospital revenues generated by activity-based pricing. A review of medical files, selected after the targeting of coding summaries, is organized. The aim is to make any corrections to t...

Progressive attention module for segmentation of volumetric medical images.

Medical physics
PURPOSE: Medical image segmentation is critical for many medical image analysis applications. 3D convolutional neural networks (CNNs) have been widely adopted in the segmentation of volumetric medical images. The recent development of channelwise and...

The IDeaS initiative: pilot study to assess the impact of rare diseases on patients and healthcare systems.

Orphanet journal of rare diseases
BACKGROUND: Rare diseases (RD) are a diverse collection of more than 7-10,000 different disorders, most of which affect a small number of people per disease. Because of their rarity and fragmentation of patients across thousands of different disorder...

Variables Influencing per Capita Production, Separate Collection, and Costs of Municipal Solid Waste in the Apulia Region (Italy): An Experience of Deep Learning.

International journal of environmental research and public health
Municipal solid waste (MSW) must be managed to reduce its impact on environmental matrices and population health as much as possible. In particular, the variables that influence the production, separate waste collection, and costs of MSW must be unde...