AIMC Topic: Humans

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Machine Learning Approaches to Determine Feature Importance for Predicting Infant Autopsy Outcome.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
INTRODUCTION: Sudden unexpected death in infancy (SUDI) represents the commonest presentation of postneonatal death. We explored whether machine learning could be used to derive data driven insights for prediction of infant autopsy outcome.

Human Motion Intent Description Based on Bumpless Switching Mechanism for Rehabilitation Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
This paper aims to improve the performance of an electromyography (EMG) decoder based on a switching mechanism in controlling a rehabilitation robot for assisting human-robot cooperation arm movements. For a complex arm movement, the major difficulty...

Single-stage Xi® robotic radical nephroureterectomy for upper tract urothelial carcinoma: surgical technique and outcomes.

Minerva urology and nephrology
BACKGROUND: Radical nephroureterectomy (RNU) represents the standard of care for high grade upper tract urothelial carcinoma (UTUC). Open and laparoscopic approaches are well-established treatments, but evidence regarding robotic RNU is growing. The ...

E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a systematic review.

Critical reviews in food science and nutrition
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different compounds in several food matrices. These sensors allow the detection of one or more compounds present in complex food samples, and the responses obt...

[Robot-assisted Living Donor Nephrectomy - Technical Aspects and Initial Evidence].

Zentralblatt fur Chirurgie
Minimally invasive donor nephrectomy has become the standard procedure in most transplant centres over the past two decades and has contributed to a reduction in postoperative morbidity for the donor. Robot-assisted technology is an alternative to co...

An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Prostate cancer is a leading cause of morbidity and mortality for adult males in the US. The diagnosis of prostate carcinoma is usually made on prostate core needle biopsies obtained through a transrectal approach. These biopsies may account for a si...

Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.

NeuroImage
This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear regi...