AIMC Topic: Patients

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Commentary: Sentiment Analysis of Online Patient-Written Reviews of Vascular Surgeons.

Annals of vascular surgery Sep 1, 2022
Treatment Outcome Physician-Patient Relations Patients Sentiment Analysis Humans Surgeons
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Transfer learning with chest X-rays for ER patient classification.

Scientific reports Dec 1, 2020
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We conducted a retrospective ...
Deep Learning Respiratory Distress Syndrome Emergency Service, Hospital Radiography, Thoracic Humans Retrospective Studies Patients Disease
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Machine learning-based automated classification of headache disorders using patient-reported questionnaires.

Scientific reports Aug 20, 2020
Classification of headache disorders is dependent on a subjective self-report from patients and its interpretation by physicians. We aimed to apply objective data-driven machine learning approaches to analyze patient-reported symptoms and test the fe...
Automation Adult Patients Male Middle Aged Adolescent Humans Female Surveys and Questionnaires Child Machine Learning Aged Headache Aged, 80 and over Patient Reported Outcome Measures Young Adult
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Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning.

BioMed research international Mar 26, 2020
BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology.
Alzheimer Disease Patients Peptide Hydrolases Mitochondrial Proteins Microfilament Proteins Cyclin-Dependent Kinase Inhibitor p57 Protein Tyrosine Phosphatases DNA Methylation Humans Carrier Proteins DNA-Binding Proteins Genetic Markers Machine Learning Gene Expression Regulation, Neoplastic Transcription Factors
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Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery Mar 14, 2020
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
Young Adult Adult Cross-Sectional Studies Male Artificial Intelligence Female Aged Aged, 80 and over Image Processing, Computer-Assisted Neurosurgery Patients Family Middle Aged Postoperative Complications Surveys and Questionnaires Adolescent Humans Attitude Patient Care Planning
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Optimized artificial neural network based performance analysis of wheelchair movement for ALS patients.

Artificial intelligence in medicine Nov 9, 2019
Individuals with neurodegenerative attacks loose the entire motor neuron movements. These conditions affect the individual actions like walking, speaking impairment and totally make the person in to locked in state (LIS). To overcome the miserable co...
Humans Electroencephalography Amyotrophic Lateral Sclerosis Healthy Volunteers Brain-Computer Interfaces Patients Wheelchairs Locked-In Syndrome Neural Networks, Computer Algorithms Female Young Adult Adult Male Middle Aged Robotics
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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?

PloS one Oct 10, 2019
BACKGROUND: Rare diseases (RD) result in a wide variety of clinical presentations, and this creates a significant diagnostic challenge for health care professionals. We hypothesized that there exist a set of consistent and shared phenomena among all ...
Male Health Personnel Surveys and Questionnaires Chronic Disease Adolescent Female Data Mining Humans Health Status Young Adult Patients Artificial Intelligence Adult Rare Diseases Machine Learning
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Effects of Assistive Robot Behavior on Impressions of Patient Psychological Attributes: Vignette-Based Human-Robot Interaction Study.

Journal of medical Internet research May 19, 2019
BACKGROUND: As robots are increasingly designed for health management applications, it is critical to not only consider the effects robots will have on patients but also consider a patient's wider social network, including the patient's caregivers an...
Adult Male Middle Aged Robotics Patient-Centered Care Patients Emotional Intelligence Research Design Female Aged Young Adult Humans
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How to Check the Reliability of Artificial Intelligence Solutions-Ensuring Client Expectations are Met.

Applied clinical informatics Apr 17, 2019
Motivation Checklist Patients Humans Artificial Intelligence Reproducibility of Results Treatment Outcome
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A Qualitative Study to Understand Patient Perspective on the Use of Artificial Intelligence in Radiology.

Journal of the American College of Radiology : JACR Mar 14, 2019
Patients Patient Acceptance of Health Care Attitude to Health Humans Adult Artificial Intelligence Tomography, X-Ray Computed Male Female Middle Aged Aged Qualitative Research
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