AIMC Topic: Humans

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From Forearm to Wrist: Deep Learning for Surface Electromyography-Based Gesture Recognition.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Though the forearm is the focus of the prostheses, myoelectric control with the electrodes on the wrist is more comfortable for general consumers because of its unobtrusiveness and incorporation with the existing wrist-based wearables. Recently, deep...

Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.

Frontiers in public health
INTRODUCTION: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a p...

Effect of palladium(II) complexes on NorA efflux pump inhibition and resensitization of fluoroquinolone-resistant : and approach.

Frontiers in cellular and infection microbiology
leads to diverse infections, and their treatment relies on the use of antibiotics. Nevertheless, the rise of antibiotic resistance poses an escalating challenge and various mechanisms contribute to antibiotic resistance, including modifications to d...

Time-domain heart rate dynamics in the prognosis of progressive atherosclerosis.

Nutrition, metabolism, and cardiovascular diseases : NMCD
BACKGROUND AND AIM: The regular uptake of a high-fat diet (HFD) with changing lifestyle causes atherosclerosis leading to cardiovascular diseases and autonomic dysfunction. Therefore, the current study aimed to investigate the correlation of autonomi...

Compositional diversity in visual concept learning.

Cognition
Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts can combine together to form novel objects. In contrast, popular computer vision models struggle to make the same types of inferences, requiring more...

Transoral robotic vertical partial laryngectomy (hemilaryngectomy) extended to the hypopharynx.

Head & neck
Locally advanced laryngeal cancers treatment often involves total laryngectomy, which some patients are unwilling to undergo, even if this choice reduces their survival probability. Therefore, the objective of laryngeal oncologic surgery is not only ...

Cross-institution natural language processing for reliable clinical association studies: a methodological exploration.

Journal of clinical epidemiology
OBJECTIVES: Natural language processing (NLP) of clinical notes in electronic medical records is increasingly used to extract otherwise sparsely available patient characteristics, to assess their association with relevant health outcomes. Manual data...

Artificial intelligence-based image-domain material decomposition in single-energy computed tomography for head and neck cancer.

International journal of computer assisted radiology and surgery
PURPOSE: While dual-energy computed tomography (DECT) images provide clinically useful information than single-energy CT (SECT), SECT remains the most widely used CT system globally, and only a few institutions can use DECT. This study aimed to estab...

Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples.

Artificial intelligence in medicine
Identifying COVID-19 through blood sample analysis is crucial in managing the disease and improving patient outcomes. Despite its advantages, the current test demands certified laboratories, expensive equipment, trained personnel, and 3-4 h for resul...

The application and use of artificial intelligence in cancer nursing: A systematic review.

European journal of oncology nursing : the official journal of European Oncology Nursing Society
PURPOSE: Artificial Intelligence is being applied in oncology to improve patient and service outcomes. Yet, there is a limited understanding of how these advanced computational techniques are employed in cancer nursing to inform clinical practice. Th...