AIMC Topic: Humans

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[Potentials and challenges of social robots in relationships with older people: a rapid review of current debates].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: Social relationships are essential resources for psychological well-being and physical health. In old age, increased vulnerability and loss of functions are accompanied by diminishing social networks reinforcing a vicious circle. This dec...

Robot assisted minimally invasive esophagectomy: safety, perioperative morbidity and short-term oncological outcome-a single institution experience.

Journal of robotic surgery
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become procedure of choice at many centers all over the world. The objective of this study is to present our experience of robot assisted minimally invasive e...

Artificial intelligence-based automated laparoscopic cholecystectomy surgical phase recognition and analysis.

Surgical endoscopy
BACKGROUND: Artificial intelligence and computer vision have revolutionized laparoscopic surgical video analysis. However, there is no multi-center study focused on deep learning-based laparoscopic cholecystectomy phases recognizing. This work aims t...

Radiologists and Clinical Trials: Part 1 The Truth About Reader Disagreements.

Therapeutic innovation & regulatory science
The debate over human visual perception and how medical images should be interpreted have persisted since X-rays were the only imaging technique available. Concerns over rates of disagreement between expert image readers are associated with much of t...

An automated method for detecting atrial fat using convolutional neural network.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Atrial Fibrillation (A-fib) is a common cardiac rhythm problem in the population these days in which irregular heartbeat leads to blood clots, heart failure, stroke, and other significant clinical complications. Researchers have found that the atrial...

Evaluation of pediatric hydronephrosis using deep learning quantification of fluid-to-kidney-area ratio by ultrasonography.

Abdominal radiology (New York)
PURPOSE: Hydronephrosis is the dilation of the pelvicalyceal system due to the urine flow obstruction in one or both kidneys. Conventionally, renal pelvis anterior-posterior diameter (APD) was used for quantifying hydronephrosis in medical images (e....

Delineating between-subject heterogeneity in alpha networks with Spatio-Spectral Eigenmodes.

NeuroImage
Between subject variability in the spatial and spectral structure of oscillatory networks can be highly informative but poses a considerable analytic challenge. Here, we describe a data-driven modal decomposition of a multivariate autoregressive mode...

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.

NeuroImage
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural organization of brain tissue. Depending on the specific acquisition settings, the dMRI signal encodes specific properties of the underlying diffusion process. In the las...

InpherNet accelerates monogenic disease diagnosis using patients' candidate genes' neighbors.

Genetics in medicine : official journal of the American College of Medical Genetics
PURPOSE: Roughly 70% of suspected Mendelian disease patients remain undiagnosed after genome sequencing, partly because knowledge about pathogenic genes is incomplete and constantly growing. Generating a novel pathogenic gene hypothesis from patient ...

Machine learning to advance the prediction, prevention and treatment of eating disorders.

European eating disorders review : the journal of the Eating Disorders Association
Machine learning approaches are just emerging in eating disorders research. Promising early results suggest that such approaches may be a particularly promising and fruitful future direction. However, there are several challenges related to the natur...