AIMC Topic: Humans

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How can educational robots enhance family life? Through careful integration.

Science robotics
Family-centered integration is critical for the success of in-home educational robots.

Observing a robot peer's failures facilitates students' classroom learning.

Science robotics
According to productive failure (PF) theory, experiencing failure during problem-solving can enhance students' knowledge acquisition in subsequent instruction. However, challenging students with problems beyond their current capabilities may strain t...

Robotic reading companions can mitigate oral reading anxiety in children.

Science robotics
Reading fluency is a vital building block for developing literacy, yet the best way to practice fluency-reading aloud-can cause anxiety severe enough to inhibit literacy development in ways that can have an adverse effect on students through adulthoo...

A soft robotic device for rapid and self-guided intubation.

Science translational medicine
Endotracheal intubation is a critical medical procedure for protecting a patient's airway. Current intubation technology requires extensive anatomical knowledge, training, technical skill, and a clear view of the glottic opening. However, all of thes...

Toward Human-Centered Artificial Intelligence for Users' Digital Well-Being: Systematic Review, Synthesis, and Future Directions.

JMIR human factors
BACKGROUND: As information and communication technologies and artificial intelligence (AI) become deeply integrated into daily life, the focus on users' digital well-being has grown across academic and industrial fields. However, fragmented perspecti...

Decoding binocular color differences via EEG signals: linking ERP dynamics to chromatic disparity in CIELAB space.

Experimental brain research
This study explores how differences in colors presented separately to each eye (binocular color differences) can be identified through EEG signals, a method of recording electrical activity from the brain. Four distinct levels of green-red color diff...

Integrative analysis identifies FERMT3 as a key regulator of metabolic reprogramming in keloid scarring and metabolic syndrome.

Functional & integrative genomics
 Keloid scarring and Metabolic Syndrome (MS) are distinct conditions marked by chronic inflammation and tissue dysregulation, suggesting shared pathogenic mechanisms. Identifying common regulatory genes could unveil novel therapeutic targets. Methods...

Prognostic models for radiation-induced complications after radiotherapy in head and neck cancer patients.

The Cochrane database of systematic reviews
BACKGROUND: Radiotherapy is the mainstay of treatment for head and neck cancer (HNC) but may induce various side effects on surrounding normal tissues. To reach an optimal balance between tumour control and toxicity prevention, normal tissue complica...

The imitation game: large language models versus multidisciplinary tumor boards: benchmarking AI against 21 sarcoma centers from the ring trial.

Journal of cancer research and clinical oncology
PURPOSE: The study aims to compare the treatment recommendations generated by four leading large language models (LLMs) with those from 21 sarcoma centers' multidisciplinary tumor boards (MTBs) of the sarcoma ring trial in managing complex soft tissu...

Research on error classification in gamma analysis on the basis of dosimetric feature engineering and deep learning.

Biomedical physics & engineering express
. Gamma analysis serves as a critical safety assurance tool in radiotherapy, yet its broader clinical implementation remains constrained by insufficient error cause determination. To address this limitation, this study proposes a gamma passing rate (...