Artificial Intelligence Medical Compendium

The key difficulty lies in accurately classifying the relevant genes through analysis and selection. A variety of methods are used to classify the genes. However, in the selection of numerous genes in the huge dimensional microarray data, only a limi... read more 

The shortage of clinical training sites and preceptors has become a major barrier in the development of health workforce across North America. Innovation will be essential to ensure equitable access to preceptors and quality supervised clinical pract... read more 

Human-machine intelligent interaction (HMII) technology, which is an advanced iteration of human-machine interaction technology, has garnered widespread attention owing to its significant achievements in healthcare and virtual reality research. Nonet... read more 

Facial expression and multi-feature manipulation play a vital role in applications such as media entertainment and biometric forensics. However, existing approaches face significant challenges, including semantic inconsistency, sensitivity to pose an... read more 

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is an aggressive malignancy, with 50% of patients recurring. A subset of patients experience rapid recurrence (RR) postoperatively but prior to adjuvant therapy. This study identifies factors ... read more 

BACKGROUND AND OBJECTIVES: Patient-reported outcome measures (PROMs) are ubiquitously used to assess surgical success after surgery for lumbar spinal stenosis (LSS); however, variability of PROMs can limit their utility as stand-alone outcomes. This ... read more 

Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD is an integral component through all stages of the disease. However, response to dietary interventions varies, potentially due to genetic variations in... read more 

ObjectiveThis study explored health professionals' experiences of using Artificial Intelligence (AI) in healthcare with a particular focus on the potential benefits and challenges of using AI in clinical practice.MethodUsing a qualitative research de... read more 

Leukemia remains a prevalent hematologic malignancy, and its morphological heterogeneity presents challenges for reliable identification under optical microscopy. To address this, we propose a frequency-domain guided object detection framework to ass... read more 

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