AIMC Topic: Syndrome

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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 Feb 8, 2022
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...
Humans Artificial Intelligence Gait Locomotion Mobility Limitation Aged Cross-Sectional Studies Syndrome
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SDTM: A Novel Topic Model Framework for Syndrome Differentiation in Traditional Chinese Medicine.

Journal of healthcare engineering Jan 4, 2022
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...
Syndrome Algorithms Medicine, Chinese Traditional Bayes Theorem Humans Artificial Intelligence
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[Type 1 diabetes mellitus and Graves Basedow's disease, a case of Autoimmune Polyglandular Syndrome].

Andes pediatrica : revista Chilena de pediatria Nov 5, 2021
INTRODUCTION: Type 1 diabetes mellitus (T1DM) is one of the most frequent autoimmune diseases in childhood. Its diagnosis requires the search for other autoimmune diseases.
Diabetes Mellitus, Type 1 Quality of Life Adolescent Syndrome Humans Child Graves Disease Autoimmune Diseases Male Polyendocrinopathies, Autoimmune
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Deep Learning-Based Analysis of Face Images as a Screening Tool for Genetic Syndromes.

Sensors (Basel, Switzerland) Oct 2, 2021
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...
Humans Research Deep Learning Syndrome
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An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks.

Computational and mathematical methods in medicine Sep 20, 2021
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 ...
Radiography, Thoracic Humans Computational Biology Neural Networks, Computer Stochastic Processes Radiographic Image Interpretation, Computer-Assisted Thoracic Diseases Machine Learning Syndrome Databases, Factual
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Robotic rectal resection preserves anorectal function: Systematic review and meta-analysis.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 9, 2021
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...
Humans Postoperative Complications Treatment Outcome Rectum Syndrome Rectal Neoplasms Robotics Laparoscopy Robotic Surgical Procedures
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NGS and phenotypic ontology-based approaches increase the diagnostic yield in syndromic retinal diseases.

Human genetics Aug 26, 2021
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...
Genetic Testing High-Throughput Nucleotide Sequencing Retinal Diseases Molecular Diagnostic Techniques Mutation Syndrome Gene Ontology Eye Diseases, Hereditary Ciliopathies Prospective Studies Humans Retrospective Studies Phenotype Female Male Cohort Studies Genetic Association Studies
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Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer.

Journal of integrative medicine Aug 4, 2021
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...
Syndrome Liver Neoplasms Bayes Theorem Humans Neural Networks, Computer Machine Learning
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Prehospital triage of acute aortic syndrome using a machine learning algorithm.

The British journal of surgery Feb 11, 2020
BACKGROUND: Acute aortic syndrome (AAS) comprises a complex and potentially fatal group of conditions requiring emergency specialist management. The aim of this study was to build a prediction algorithm to assist prehospital triage of AAS.
Triage Acute Disease Syndrome Aortic Diseases Clinical Decision Rules Humans Hospital Mortality Aged Logistic Models Male Prognosis Emergency Medical Services Middle Aged Machine Learning Female Reproducibility of Results Algorithms Prospective Studies
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Artificial Intelligence Meets Chinese Medicine.

Chinese journal of integrative medicine Oct 24, 2019
As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and treatment has received extensive attention. The standardization of Chinese medicine (CM) diagnosis has been always a bottleneck in the modernization an...
Disease Medicine, East Asian Traditional Humans Artificial Intelligence Deep Learning Syndrome
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