AIMC Topic: Humans

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Do artificial neural networks love sex? How the combination of artificial neural networks with evolutionary algorithms may help to identify gender influence in rheumatic diseases.

Clinical and experimental rheumatology
Although medical research has been performed predominantly on men both in preclinical and clinical studies, continuous efforts have been made to overcome this gender bias. Examining retrospectively 21 data sets containing sex as one of the descriptiv...

Effect of robot-assisted gait training on quality of life and depression in neurological impairment: A systematic review and meta-analysis.

Clinical rehabilitation
OBJECTIVE: Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurological impairments. The purpose of this study is to investigate the effects of rehabilitation with robotic devices on quality of life and depression.

Automatic mammographic breast density classification in Chinese women: clinical validation of a deep learning model.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: High breast density is a strong risk factor for breast cancer. As such, high consistency and accuracy in breast density assessment is necessary.

Deep-learning measurement of intracerebral haemorrhage with mixed precision training: a coarse-to-fine study.

Clinical radiology
AIM: To develop a unified deep-learning-based method for automated intracerebral haemorrhage (ICH) segmentation on computed tomography (CT) images with different layer thickness parameters.

Comparison of the Diagnostic Performance of Deep Learning Algorithms for Reducing the Time Required for COVID-19 RT-PCR Testing.

Viruses
(1) Background: Rapid and accurate negative discrimination enables efficient management of scarce isolated bed resources and adequate patient accommodation in the majority of areas experiencing an explosion of confirmed cases due to Omicron mutations...

Towards a Safe Human-Robot Collaboration Using Information on Human Worker Activity.

Sensors (Basel, Switzerland)
Most industrial workplaces involving robots and other apparatus operate behind the fences to remove defects, hazards, or casualties. Recent advancements in machine learning can enable robots to co-operate with human co-workers while retaining safety,...

Current Role of Delta Radiomics in Head and Neck Oncology.

International journal of molecular sciences
The latest developments in the management of head and neck cancer show an increasing trend in the implementation of novel approaches using artificial intelligence for better patient stratification and treatment-related risk evaluation. Radiomics, or ...

COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods.

International journal of environmental research and public health
Since December 2019, the coronavirus disease has significantly affected millions of people. Given the effect this disease has on the pulmonary systems of humans, there is a need for chest radiographic imaging (CXR) for monitoring the disease and prev...

Robot-assisted versus conventional laparoscopic radical hysterectomy in cervical cancer stage IB1.

International journal of medical sciences
The aim of this study was to compare survival outcomes of robot-assisted laparoscopic radical hysterectomy (RRH) and conventional laparoscopic radical hysterectomy (LRH) in cervical cancer stage IB1. This is a retrospective study of patients with c...