AIMC Topic: Humans

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DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients.

BMC medical informatics and decision making
BACKGROUND: Chronic kidney disease is a prevalent global health issue, particularly in advanced stages requiring dialysis. Vascular access (VA) quality is crucial for the well-being of hemodialysis (HD) patients, ensuring optimal blood transfer throu...

TB-DROP: deep learning-based drug resistance prediction of Mycobacterium tuberculosis utilizing whole genome mutations.

BMC genomics
The most widely practiced strategy for constructing the deep learning (DL) prediction model for drug resistance of Mycobacterium tuberculosis (MTB) involves the adoption of ready-made and state-of-the-art architectures usually proposed for non-biolog...

Correlation enhanced distribution adaptation for prediction of fall risk.

Scientific reports
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older a...

AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study.

BMJ open
INTRODUCTION: A non-contrast CT head scan (NCCTH) is the most common cross-sectional imaging investigation requested in the emergency department. Advances in computer vision have led to development of several artificial intelligence (AI) tools to det...

Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach.

JMIR medical education
BACKGROUND: The use of mobile devices for delivering health-related services (mobile health [mHealth]) has rapidly increased, leading to a demand for summarizing the state of the art and practice through systematic reviews. However, the systematic re...

UC-stack: a deep learning computer automatic detection system for diabetic retinopathy classification.

Physics in medicine and biology
. The existing diagnostic paradigm for diabetic retinopathy (DR) greatly relies on subjective assessments by medical practitioners utilizing optical imaging, introducing susceptibility to individual interpretation. This work presents a novel system f...

Assessing the clinical reasoning of ChatGPT for mechanical thrombectomy in patients with stroke.

Journal of neurointerventional surgery
BACKGROUND: Artificial intelligence (AI) has become a promising tool in medicine. ChatGPT, a large language model AI Chatbot, shows promise in supporting clinical practice. We assess the potential of ChatGPT as a clinical reasoning tool for mechanica...

Automated catheter segmentation and tip detection in cerebral angiography with topology-aware geometric deep learning.

Journal of neurointerventional surgery
BACKGROUND: Visual perception of catheters and guidewires on x-ray fluoroscopy is essential for neurointervention. Endovascular robots with teleoperation capabilities are being developed, but they cannot 'see' intravascular devices, which precludes a...

Robot-Assisted Thoracoscopic Resection of Ectopic Parathyroid Tissue in Mediastinum: A Scoping Review.

Innovations (Philadelphia, Pa.)
Ectopic parathyroid tissue in the mediastinum represents a rare and potentially serious clinical entity with challenging diagnostic and surgical management. The main surgical approach for this issue is open thoracotomy, which is a safe technique but ...

Study of Serum Fibroblast Growth Factor 23 as a Predictor of Endothelial Dysfunction among Egyptian Patients with Diabetic Kidney Disease.

Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia
Endothelial dysfunction in patients with diabetic nephropathy is caused by nontraditional factors in addition to common risk factors (e.g., hypertension) in people with normal kidney function. These nontraditional factors include factors involved in ...