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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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Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data.

The type 1 diabetes community is coalescing around the benefits and advantages of early screening fo...

Unlocking human-robot synergy: The power of intent communication in warehouse robotics.

As autonomous mobile robots (AMR) are introduced into workspace environments shared with people, eff...

Low-force human-human hand interactions induce gait changes through sensorimotor engagement instead of direct mechanical effects.

Physical human-robot interactions (pHRI) often provide mechanical force and power to aid walking wit...

Flamingo Jelly Fish search optimization-based routing with deep-learning enabled energy prediction in WSN data communication.

Nowadays, wireless sensor networks (WSN) have gained huge attention worldwide due to their wide appl...

The communication of artificial intelligence and deep learning in computer tomography image recognition of epidemic pulmonary infectious diseases.

The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectiou...

Deep learning-based algorithms for low-dose CT imaging: A review.

The computed tomography (CT) technique is extensively employed as an imaging modality in clinical se...

Understanding ChatGPT for evidence-based utilization in interventional radiology.

Advancement in artificial intelligence (AI) has the potential to improve the efficiency and accuracy...

PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in Healthcare Cyber-Physical Systems.

This article presents a novel hardware-assisted distributed ledger-based solution for simultaneous d...

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service.

The healthcare sector, characterized by vast datasets and many diseases, is pivotal in shaping commu...

Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics.

Autoregressive language models, which use deep learning to produce human-like texts, have surged in ...

Technical and ethical considerations in telesurgery.

Telesurgery, a cutting-edge field at the intersection of medicine and technology, holds immense prom...

Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions.

ObjectiveThe global surge in adolescent suicide necessitates the development of innovative and effic...

Factors Affecting Workers' Mental Stress in Handover Activities During Human-Robot Collaboration.

OBJECTIVE: This study investigated the effects of different approach directions, movement speeds, an...

Ensuring communication redundancy and establishing a telementoring system for robotic telesurgery using multiple communication lines.

Assuring communication redundancy during the interruption and establishing appropriate teaching envi...

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