AI Medical Compendium Topic

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Syndrome

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Splenic artery steal syndrome in patients with orthotopic liver transplant: Where to embolize the splenic artery?

PloS one
PURPOSE: This study compared proximal and distal embolization of the splenic artery (SA) in patients with splenic artery steal syndrome (SAS) after orthotopic liver transplantation (OLT) regarding post interventional changes of liver function to iden...

The Path to and Impact of Disease Recognition with AI.

IEEE pulse
The Process of rare disease identification by clinical geneticists is closely associated with the ability to correlate the phenotype of a patient with the relevant genetic syndromes. In order to perform this correlation, the phenotype has to be descr...

An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks.

Computational and mathematical methods in medicine
There have been remarkable changes in our lives and the way we perceive the world with advances in computing technology. Healthcare sector is evolving with the intervention of the latest computer-driven technology and has made a remarkable change in ...

Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer.

Journal of integrative medicine
OBJECTIVE: By optimizing the extreme learning machine network with particle swarm optimization, we established a syndrome classification and prediction model for primary liver cancer (PLC), classified and predicted the syndrome diagnosis of medical r...

NGS and phenotypic ontology-based approaches increase the diagnostic yield in syndromic retinal diseases.

Human genetics
Syndromic retinal diseases (SRDs) are a group of complex inherited systemic disorders, with challenging molecular underpinnings and clinical management. Our main goal is to improve clinical and molecular SRDs diagnosis, by applying a structured pheno...

Robotic rectal resection preserves anorectal function: Systematic review and meta-analysis.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Improving survival rates in rectal cancer patients has generated a growing interest in functional outcomes after total mesorectal excision (TME). The well-established low anterior resection syndrome (LARS) score assesses postoperative ano...

Deep Learning-Based Analysis of Face Images as a Screening Tool for Genetic Syndromes.

Sensors (Basel, Switzerland)
Approximately 4% of the world's population suffers from rare diseases. A vast majority of these disorders have a genetic background. The number of genes that have been linked to human diseases is constantly growing, but there are still genetic syndro...

SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine.

Journal of healthcare engineering
Syndrome differentiation is the most basic diagnostic method in traditional Chinese medicine (TCM). The process of syndrome differentiation is difficult and challenging due to its complexity, diversity, and vagueness. Recently, artificial intelligent...

Artificial intelligence model to identify elderly patients with locomotive syndrome: A cross-section study.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
BACKGROUND: Identifying elderly individuals with locomotive syndrome is important to prevent disability in this population. Although screening tools for locomotive syndrome are available, these require time commitment and are limited by an individual...