AIMC Topic: Humans

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Comprehensive predictive modeling in subarachnoid hemorrhage: integrating radiomics and clinical variables.

Neurosurgical review
Subarachnoid hemorrhage (SAH) is a severe condition with high morbidity and long-term neurological consequences. Radiomics, by extracting quantitative features from Computed Tomograhpy (CT) scans, may reveal imaging biomarkers predictive of outcomes....

[Large language models in healthcare].

Nederlands tijdschrift voor geneeskunde
Large language models, AI-based models that can generate language and which are optimized for human interaction, are widely available and also offer opportunities for healthcare. Yet, they also raise important questions about their quality and ethica...

CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy.

eLife
Understanding the complex three-dimensional structure of cells is crucial across many disciplines in biology and especially in neuroscience. Here, we introduce a set of models including a 3D transformer (SwinUNetR) and a novel 3D self-supervised lear...

Individual muscle strengths in rehabilitation outcomes of distal radius fracture.

Journal of neuroengineering and rehabilitation
BACKGROUND: Distal radius fractures (DRFs) are common fracture types and elderly patients often struggle to achieve functional recovery, which could be overcome by precise rehabilitation. This study aims to develop an innovative approach for acquirin...

Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking.

Biomedical engineering online
BACKGROUND: Wearable sensors combined with deep-learning models are increasingly being used to predict biomechanical variables. Researchers have focused on either simple neural networks or complex pretrained models with multiple layers. In addition, ...

Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.

Biomedical engineering online
In recent years, the medical field has seen significant advancements in the field of robotics and artificial intelligence (AI). However, many healthcare professionals still find these technologies unfamiliar and complex, especially regarding their us...

Learning from small datasets-review of workshop 6 of the 10th International BCI Meeting 2023.

Journal of neural engineering
In a brain-computer interface (BCI), a primary objective is to reduce calibration time by recording as few as possible novel data points to (re-)train decoder models.Minimizing the calibration can be crucial for enhancing the usability of a BCI appli...

Deep learning classification of drug-related problems from pharmaceutical interventions issued by hospital clinical pharmacists during medication prescription review: a large-scale descriptive retrospective study in a French university hospital.

European journal of hospital pharmacy : science and practice
OBJECTIVES: Pharmaceutical interventions are proposals made by hospital clinical pharmacists to address sub-optimal uses of medications during prescription review. Pharmaceutical interventions include the identification of drug-related problems, thei...

Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.

PloS one
This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a real-world pilot setting as part of a translational research project aimed at designing and clinically validating a portable, cost-effective device su...