AIMC Topic: Humans

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Episodes of experience and generative intelligence.

Trends in cognitive sciences
How do humans, including toddlers, take knowledge from past experiences and apply this knowledge in new ways? Current approaches to human and artificial intelligence (AI) fail to offer satisfactory explanations. We suggest the explanation will be fou...

A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: The first aim was to generate and compare synthetic-CT (sCT) images using a conditional generative adversarial network (cGAN) method (Pix2Pix) for MRI-only prostate radiotherapy planning by testing several generators, loss functions, and hyp...

Association of artificial intelligence use and the retention of elderly caregivers: A cross-sectional study based on empowerment theory.

Journal of nursing management
AIM: The purpose of this study is to investigate how the use of artificial intelligence is associated with the retention of elderly caregivers.

Deep Learning: Predicting Environments From Short-Time Observations of Postural Balance.

IEEE transactions on bio-medical engineering
OBJECTIVE: This study introduces a deep learning approach to accurately predict challenging mechanical environments that possibly cause decreasing postural stability.

Towards Image Guided Magnetic Resonance Elastography via Active Driver Positioning Robot.

IEEE transactions on bio-medical engineering
UNLABELLED: Magnetic Resonance Elastography (MRE) is a developing imaging technique that enables non-invasive estimation of tissue mechanical properties through the combination of induced mechanical displacements in the tissue and Magnetic Resonance ...

A Multirobot System in an Assisted Home Environment to Support the Elderly in Their Daily Lives.

Sensors (Basel, Switzerland)
The increasing isolation of the elderly both in their own homes and in care homes has made the problem of caring for elderly people who live alone an urgent priority. This article presents a proposed design for a heterogeneous multirobot system consi...

Classification and Detection of COVID-19 and Other Chest-Related Diseases Using Transfer Learning.

Sensors (Basel, Switzerland)
COVID-19 has infected millions of people worldwide over the past few years. The main technique used for COVID-19 detection is reverse transcription, which is expensive, sensitive, and requires medical expertise. X-ray imaging is an alternative and mo...

Determining Exception Context in Assembly Operations from Multimodal Data.

Sensors (Basel, Switzerland)
Robot assembly tasks can fail due to unpredictable errors and can only continue with the manual intervention of a human operator. Recently, we proposed an exception strategy learning framework based on statistical learning and context determination, ...

Computer Vision and Machine Learning-Based Gait Pattern Recognition for Flat Fall Prediction.

Sensors (Basel, Switzerland)
BACKGROUND: Gait recognition has been applied in the prediction of the probability of elderly flat ground fall, functional evaluation during rehabilitation, and the training of patients with lower extremity motor dysfunction. Gait distinguishing betw...