AIMC Topic: Humans

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Deep learning-based framework for the distinction of membranous nephropathy: a new approach through hyperspectral imagery.

BMC nephrology
BACKGROUND: Common subtypes seen in Chinese patients with membranous nephropathy (MN) include idiopathic membranous nephropathy (IMN) and hepatitis B virus-related membranous nephropathy (HBV-MN). However, the morphologic differences are not visible ...

Remote Care Assistance in Emergency Department Based on Smart Medical.

Journal of healthcare engineering
Smart medical care is user-centric, medical information is the main line, and big data, Internet of Things, cloud computing, artificial intelligence, and other technologies are used to establish scientific and accurate information, as well as an effi...

[Medico-economic evaluation of the impact of measures to adapt to the switch to surgery robot-assisted in urology].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
INTRODUCTION: The development of robot-assisted urological surgery is held back by the lack of robust medico-economic analyses and their heterogeneity. We conducted a medico-economic study to evaluate the implementation of measures to optimize the tr...

Intentional machines: A defence of trust in medical artificial intelligence.

Bioethics
Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor-patient relationships, trust is therefore regularly suggested as a way of d...

Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.

Medical image analysis
Adversarial attacks are considered a potentially serious security threat for machine learning systems. Medical image analysis (MedIA) systems have recently been argued to be vulnerable to adversarial attacks due to strong financial incentives and the...

Multicenter Experience in Robot-Assisted Minimally Invasive Esophagectomy - a Comparison of Hybrid and Totally Robot-Assisted Techniques.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
BACKGROUND: Oncological esophageal surgery has evolved significantly in the last decades. From open esophagectomy over (hybrid) minimally invasive surgery, nowadays, robot-assisted minimally invasive esophagectomy (RAMIE) approaches are applied. Curr...

Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.

International journal of cardiology
AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image sequences in real-time.

Drug repurposing: Iron in the fire for older drugs.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Repositioning or "repurposing" of existing therapies for indications of alternative disease is an attractive approach that can generate lower costs and require a shorter approval time than developing a de novo drug. The development of experimental dr...

Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI.

Magnetic resonance imaging
OBJECTIVE: To investigate the clinical feasibility of single-breath-hold (SBH) T2-weighted (T2WI) liver MRI with deep learning-based reconstruction in the evaluation of image quality and lesion delineation, compared with conventional multi-breath-hol...