AIMC Topic: Humans

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RadCLARE: an automated clinical language engine for detecting semantic errors in radiology reports.

European radiology experimental
BACKGROUND: Errors in radiology reports can result in inappropriate/harmful decisions. We investigated whether large language models can reduce the error rate.

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images.

eLife
Remarkably, human brains have the ability to accurately perceive and process the real-world size of objects, despite vast differences in distance and perspective. While previous studies have delved into this phenomenon, distinguishing the processing ...

SSMCE: A semi-supervised learning framework for myocardial segmentation in myocardial contrast echocardiography.

Biomedical physics & engineering express
Accurate myocardial segmentation in myocardial contrast echocardiography (MCE) images remains challenging due to the scarcity of publicly available labeled datasets and the pervasive presence of speckle noise.Currently, echocardiographers must manual...

EEG-based meditation decoding: tackling subject variability with spatial and temporal alignment.

Journal of neural engineering
. Meditation and mindfulness are increasingly recognized as important in improving mental well-being. However, electroencephalography (EEG)-based neurofeedback systems supporting these practices typically fail to generalize to unseen subjects. This s...

Towards trustworthy AI in radiotherapy: a comprehensive review of uncertainty-aware techniques.

Physics in medicine and biology
. Uncertainty quantification (UQ) has emerged as a crucial component in deep learning-based medical image analysis, particularly in radiotherapy (RT). Addressing uncertainty is essential for improving the reliability, interpretability, and clinical a...

cMeta-INR: cohort-informed meta-learning-based implicit neural representation for deformable registration-driven real-time volumetric MRI estimation.

Physics in medicine and biology
Rapid and accurate reconstruction of high-quality three-dimensional magnetic resonance (MR) images from undersampled-space data with variable sampling patterns remains a challenge due to limited available information and the need to preserve rich ana...

Leadership training in healthcare: a systematic umbrella review.

BMJ leader
The importance of effective clinical leadership has been reflected in an increase in leadership development programmes. However, there remains a lack of consensus regarding the optimal structure, content and evaluation of such programmes. This review...

Future of medical leadership in the age of artificial intelligence.

BMJ leader
In the dynamic landscape of modern healthcare, the rise of artificial intelligence (AI) is revolutionising leadership roles by challenging established skill sets. Effective integration of AI relies heavily on adept balancing of rapid technological ad...

Ratio maps of T1w/T2w MRI signal intensity do not improve deep-learning segmentation of pediatric brain tumors.

PloS one
INTRODUCTION: T1w/T2w ratio mapping, combining voxel-wise signal intensities in T1-weighted (T1w) and T2-weighted (T2w) structural MRI, has been used to investigate cortical architecture in the brain, but has also shown promise in tissue discriminati...

Enhancing network traffic detection via interpolation augmentation and contrastive learning.

PloS one
With the rapid advancement of information technology, the Internet, as the core infrastructure for global information exchange, faces increasingly severe security challenges. However, traditional network traffic detection methods typically focus sole...