AIMC Topic: Humans

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COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques.

Frontiers in public health
The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around the globe. In general and during lockdown phases, people worldwide use social media network to state their viewpoints and general feelings concerning t...

Applications of artificial intelligence in the diagnosis and prediction of erectile dysfunction: a narrative review.

International journal of impotence research
Despite the high prevalence of erectile dysfunction, patients are reluctant to seek medical advice, which leads to low diagnostic rates in clinical practice. Artificial intelligence has been widely applied in the diagnosis of many diseases and may al...

Impact of robotic single and dual console systems in the training of minimally invasive gynecology surgery (MIGS) fellows.

Journal of robotic surgery
The advantages of dual console use in robotic surgical education have not been described. The aims of this study are to compare fellow console time, surgical steps performed, and surgical takeovers between attending and fellow surgeons using dual ver...

Machine Learning-Based Mortality Prediction of Patients at Risk During Hospital Admission.

Journal of patient safety
OBJECTIVES: The ability to predict in-hospital mortality from data available at hospital admission would identify patients at risk and thereby assist hospital-wide patient safety initiatives. Our aim was to use modern machine learning tools to predic...

Human identification performed with skull's sphenoid sinus based on deep learning.

International journal of legal medicine
Human identification plays a significant role in the investigations of disasters and criminal cases. Human identification could be achieved quickly and efficiently via 3D sphenoid sinus models by customized convolutional neural networks. In this retr...

[Development and evaluation of a deep learning algorithm for German word recognition from lip movements].

HNO
BACKGROUND: When reading lips, many people benefit from additional visual information from the lip movements of the speaker, which is, however, very error prone. Algorithms for lip reading with artificial intelligence based on artificial neural netwo...

A deep learning model for screening type 2 diabetes from retinal photographs.

Nutrition, metabolism, and cardiovascular diseases : NMCD
BACKGROUND AND AIMS: We aimed to develop and evaluate a non-invasive deep learning algorithm for screening type 2 diabetes in UK Biobank participants using retinal images.

Evidence for distinct neuro-metabolic phenotypes in humans.

NeuroImage
Advances in magnetic resonance imaging have shown how individual differences in the structure and function of the human brain relate to health and cognition. The relationship between individual differences and the levels of neuro-metabolites, however...

Spin is present in the majority of articles evaluating robot-assisted groin hernia repair: a systematic review.

Surgical endoscopy
BACKGROUND: The number of scientific articles published each year is increasing, resulting in greater competition to get work published. Spin is defined as specific reporting strategies used to distort the readers' interpretation of results so that t...