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Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

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An event-triggered collaborative neurodynamic approach to distributed global optimization.

In this paper, we propose an event-triggered collaborative neurodynamic approach to distributed glob...

Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers.

With their highly social nature and complex vocal communication system, marmosets are important mode...

Predicting Autism from Head Movement Patterns during Naturalistic Social Interactions.

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized in part by difficulti...

A Study of Healthcare Team Communication Networks using Visual Analytics.

Cooperation among teams or individuals of healthcare professionals (HCPs) is one of the crucial fact...

Antropo: An open-source platform to increase the anthropomorphism of the Franka Emika collaborative robot arm.

Robot-to-human communication is important for mutual understanding during human-robot collaboration....

Artificial intelligence for dementia prevention.

INTRODUCTION: A wide range of modifiable risk factors for dementia have been identified. Considerabl...

Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?

PURPOSE: Large language models (LLM) have recently attracted attention because of their enormous per...

Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network.

Sign Language Recognition is a breakthrough for communication among deaf-mute society and has been a...

Temporal Convolutional Network-Based Signal Detection for Magnetotactic Bacteria Communication System.

Molecular communication (MC) aims to use signaling molecules as information carriers to achieve comm...

Fish-inspired robotic algorithm: mimicking behaviour and communication of schooling fish.

This study aims to present a novel flocking algorithm for robotic fish that will aid the study of fi...

Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.

Development of brain-computer interface (BCI) technology is key for enabling communication in indivi...

Tele-robotic distal gastrectomy with lymph node dissection on a cadaver.

The purpose of this study is to evaluate the performance of tele-robotic distal gastrectomy (tele-RD...

Deep Learning Technology to Recognize American Sign Language Alphabet.

Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools t...

BECS-II: an updated bio-inspired electrocommunication system for small underwater robots.

Some weakly electric fish can use electric signals to interact and communicate with each other in da...

Supervised learning algorithm for analysis of communication signals in the weakly electric fish Apteronotus leptorhynchus.

Signal analysis plays a preeminent role in neuroethological research. Traditionally, signal identifi...

Visual modalities-based multimodal fusion for surgical phase recognition.

Surgical workflow analysis is essential to help optimize surgery by encouraging efficient communicat...

Novel tools for early diagnosis and precision treatment based on artificial intelligence.

Lung cancer has the highest mortality rate among all cancers in the world. Hence, early diagnosis an...

Conversational agents enhance women's contribution in online debates.

The advent of Artificial Intelligence (AI) is fostering the development of innovative methods of com...

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