AIMC Topic: Humans

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Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study.

JMIR medical informatics
BACKGROUND: Recent advances in large language models have highlighted the need for high-quality multilingual medical datasets. Although Japan is a global leader in computed tomography (CT) scanner deployment and use, the absence of large-scale Japane...

Soft robotic gloves versus mirror therapy: a long-term comparative study on hand function and motor recovery in post-stroke rehabilitation.

Journal of rehabilitation medicine
OBJECTIVE: This study aimed to compare the long-term effects of soft robotic gloves (SRGs) and mirror therapy on hand function and motor recovery in post-stroke patients.

Explainable deep learning algorithm for distinguishing IVIG-Resistant Kawasaki disease in Shandong peninsula, China.

BMC pediatrics
BACKGROUND: Intravenous immunoglobulin (IVIG) resistance of Kawasaki disease (KD) patients have a heightened risk of coronary artery lesions. We aimed to explore the predictive factors of IVIG resistance of KD from Shandong Peninsula in China, and es...

Generalizing machine learning models from clinical free text.

Scientific reports
To assess strategies for enhancing the generalizability of healthcare artificial intelligence models, we analyzed the impact of preprocessing approaches applied to medical free text, compared single- versus multiple-institution data models, and evalu...

Enhancing real-time heading estimation for pedestrian navigation via deep learning and smartphone embedded sensors.

Scientific reports
The accurate smartphone-based pedestrian navigation significantly depends on the precise heading estimation. However, heading estimation is still a challenging problem in most pedestrian navigation applications because of the bias of low-cost smartph...

Controlling nanocage assembly, towards developing a one-health "plug & play" platform for targeted therapy.

Chemical communications (Cambridge, England)
There is a growing interest in developing one-health "plug and play" platforms for making different therapeutics/prophylactics to target various biological entities such as viruses, cancer cells, or bacteria. Such a platform could benefit from advanc...

A Machine Learning Algorithm With an Oversampling Technique in Limited Data Scenarios for the Prediction of Present and Future Restorative Treatment Need: Development and Validation Study.

JMIR medical informatics
BACKGROUND: Untreated dental caries is the most common health condition worldwide. Therefore, new strategies need to be developed to reduce the manifestations of dental caries.

Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists?

PloS one
The integration of Artificial Intelligence (AI) algorithms into pathology practice presents both opportunities and challenges. Although it can improve accuracy and inter-rater reliability, it is not infallible and can produce erroneous diagnoses, hen...

The critical effects of self-management strategies on predicting cancer survivors' future quality of life and health status using machine learning techniques.

PloS one
Despite the significance of enhancing the quality of life (QoL) and overall health status (including physical, mental, social, and spiritual well-being) among individuals who have survived cancer, the existing prediction model for QoL and health stat...

Energy-efficient communication between IoMT devices and emergency vehicles for improved patient care.

PloS one
The rising integration of emergency healthcare services with the Internet of Medical Things (IoMT) creates a significant opportunity to improve real-time communication between patients and emergency vehicles like ambulances. Fast and reliable data in...