AIMC Topic: Humans

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Intake monitoring in free-living conditions: Overview and lessons we have learned.

Appetite
The progress in artificial intelligence and machine learning algorithms over the past decade has enabled the development of new methods for the objective measurement of eating, including both the measurement of eating episodes as well as the measurem...

Survival Prediction After Neurosurgical Resection of Brain Metastases: A Machine Learning Approach.

Neurosurgery
BACKGROUND: Current prognostic models for brain metastases (BMs) have been constructed and validated almost entirely with data from patients receiving up-front radiotherapy, leaving uncertainty about surgical patients.

Robotic left hemicolectomy with intracorporeal anastomosis: Description of the technique and initial results.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: The aim was to describe the robot-assisted intracorporeal anastomosis technique in left colon surgery (rLCS) and report the initial results.

Using machine learning techniques to predict antimicrobial resistance in stone disease patients.

World journal of urology
PURPOSE: Artificial intelligence is part of our daily life and machine learning techniques offer possibilities unknown until now in medicine. This study aims to offer an evaluation of the performance of machine learning (ML) techniques, for predictin...

Generalizability of deep learning models for predicting outdoor irregular walking surfaces.

Journal of biomechanics
Observations from laboratory-based gait analysis are difficult to extrapolate to real-world environments where gait behavior is modulated in response to complex environmental conditions and surface profiles. Inertial measurement units (IMUs) permit r...

3D printed protein-based robotic structures actuated by molecular motor assemblies.

Nature materials
Upscaling motor protein activity to perform work in man-made devices has long been an ambitious goal in bionanotechnology. The use of hierarchical motor assemblies, as realized in sarcomeres, has so far been complicated by the challenges of arranging...

A Hybrid Deep Learning and Visualization Framework for Pushing Behavior Detection in Pedestrian Dynamics.

Sensors (Basel, Switzerland)
Crowded event entrances could threaten the comfort and safety of pedestrians, especially when some pedestrians push others or use gaps in crowds to gain faster access to an event. Studying and understanding pushing dynamics leads to designing and bui...

Design of Transverse Brachiation Robot and Motion Control System for Locomotion between Ledges at Different Elevations.

Sensors (Basel, Switzerland)
Bio-inspired transverse brachiation robots mimic the movement of human climbers as they traverse along ledges on a vertical wall. The constraints on the locomotion of these robots differ considerably from those of conventional brachiation robots due ...

Inertial Data-Based AI Approaches for ADL and Fall Recognition.

Sensors (Basel, Switzerland)
The recognition of Activities of Daily Living (ADL) has been a widely debated topic, with applications in a vast range of fields. ADL recognition can be accomplished by processing data from wearable sensors, specially located at the lower trunk, whic...

BepFAMN: A Method for Linear B-Cell Epitope Predictions Based on Fuzzy-ARTMAP Artificial Neural Network.

Sensors (Basel, Switzerland)
The public health system is extremely dependent on the use of vaccines to immunize the population from a series of infectious and dangerous diseases, preventing the system from collapsing and millions of people dying every year. However, to develop t...