AIMC Topic: Humans

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How automatic speed control based on distance affects user behaviours in telepresence robot navigation within dense conference-like environments.

PloS one
Telepresence robots allow users to be spatially and socially present in remote environments. Yet, it can be challenging to remotely operate telepresence robots, especially in dense environments such as academic conferences or workplaces. In this pape...

Robot-assisted Radical Nephrectomy: A Systematic Review and Meta-analysis of Comparative Studies.

European urology
CONTEXT: Radical nephrectomy (RN) is the gold standard treatment for large and locally advanced renal tumors. Although robot-assisted radical nephrectomy (RRN) is being increasingly adopted, it remains unclear whether it offers benefits over standard...

Applications of deep learning in dentistry.

Oral surgery, oral medicine, oral pathology and oral radiology
Over the last few years, translational applications of so-called artificial intelligence in the field of medicine have garnered a significant amount of interest. The present article aims to review existing dental literature that has examined deep lea...

Identification of prognostic factors for pediatric myocarditis with a random forests algorithm-assisted approach.

Pediatric research
BACKGROUND: Pediatric myocarditis is a rare disease with substantial mortality. Little is known regarding its prognostic factors. We hypothesize that certain comorbidities and procedural needs may increase risks of poor outcomes. This study aims to i...

Do We Take a Robot's Needs into Account? The Effect of Humanization on Prosocial Considerations Toward Other Human Beings and Robots.

Cyberpsychology, behavior and social networking
Robots are becoming an integral part of society, yet the extent to which we are prosocial toward these nonliving objects is unclear. While previous research shows that we tend to take care of robots in high-risk, high-consequence situations, this has...

The Robot Made Me Do It: Human-Robot Interaction and Risk-Taking Behavior.

Cyberpsychology, behavior and social networking
Empirical evidence has shown that peer pressure can impact human risk-taking behavior. With robots becoming ever more present in a range of human settings, it is crucial to examine whether robots can have a similar impact. Using the balloon analogue ...

Machine-Learning and Chemicogenomics Approach Defines and Predicts Cross-Talk of Hippo and MAPK Pathways.

Cancer discovery
Hippo pathway dysregulation occurs in multiple cancers through genetic and nongenetic alterations, resulting in translocation of YAP to the nucleus and activation of the TEAD family of transcription factors. Unlike other oncogenic pathways such as RA...

Deep learning in cancer pathology: a new generation of clinical biomarkers.

British journal of cancer
Clinical workflows in oncology rely on predictive and prognostic molecular biomarkers. However, the growing number of these complex biomarkers tends to increase the cost and time for decision-making in routine daily oncology practice; furthermore, bi...