AIMC Topic: Surveys and Questionnaires

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Applications of artificial intelligence in the diagnosis and prediction of erectile dysfunction: a narrative review.

International journal of impotence research Jan 13, 2022
Despite the high prevalence of erectile dysfunction, patients are reluctant to seek medical advice, which leads to low diagnostic rates in clinical practice. Artificial intelligence has been widely applied in the diagnosis of many diseases and may al...
Male Surveys and Questionnaires Erectile Dysfunction Humans Artificial Intelligence
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Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital.

BMC medical informatics and decision making Jan 7, 2022
BACKGROUND: In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most ...
Humans Fuzzy Logic Brazil Hospitals, Teaching Surveys and Questionnaires Hospitals, Public
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How Does Age Affect Urinary Continence following Robot-Assisted Radical Prostatectomy? A Prospective Multi-Institutional Study Using Independently Collected, Validated Questionnaires.

The Journal of urology Jan 3, 2022
PURPOSE: Robot-assisted radical prostatectomy (RARP) is associated with poorer postoperative urinary continence in older men. However, published studies reporting conflicting results have design limitations with insufficient data at the extremes of a...
Male Surveys and Questionnaires Child, Preschool Humans Prospective Studies Aged Prostatic Neoplasms Robotic Surgical Procedures Prostatectomy Treatment Outcome Australia Robotics
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Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception.

Frontiers in public health Dec 24, 2021
The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated. An anonymous electronic survey on AI was designed for me...
Surveys and Questionnaires Female Perception Humans Students, Dental Students, Medical Artificial Intelligence Male
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Chronic Exertional Compartment Syndrome Area Under Curve Humans Military Personnel Support Vector Machine Machine Learning Linear Models Lower Extremity ROC Curve Leg Models, Statistical Sensitivity and Specificity Treatment Outcome Fasciotomy Male Return to Work Reproducibility of Results Middle Aged Prognosis Exercise Young Adult Female Surveys and Questionnaires Adult Time Factors
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Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey.

Journal of medical Internet research Dec 13, 2021
BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outperform health care professionals in particular domains. Such models hold considerable promise for improved diagnostics, treatment, and prevention, as we...
Artificial Intelligence Delivery of Health Care Technology Humans Trust Surveys and Questionnaires
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An analysis of usability evaluation practices and contexts of use in wearable robotics.

Journal of neuroengineering and rehabilitation Dec 9, 2021
BACKGROUND: User-centered design approaches have gained attention over the past decade, aiming to tackle the technology acceptance issues of wearable robotic devices to assist, support or augment human capabilities. While there is a consensus that us...
Surveys and Questionnaires Wearable Electronic Devices Robotics Humans
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Using k-mer embeddings learned from a Skip-gram based neural network for building a cross-species DNA N6-methyladenine site prediction model.

Plant molecular biology Nov 29, 2021
This study used k-mer embeddings as effective feature to identify DNA N6-Methyladenine sites in plant genomes and obtained improved performance without substantial effort in feature extraction, combination and selection. Identification of DNA N6-meth...
Models, Biological Plants Nucleotides Base Sequence ROC Curve Neural Networks, Computer Adenine Databases, Genetic Algorithms DNA, Plant Surveys and Questionnaires
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Patients' Perceptions Toward Human-Artificial Intelligence Interaction in Health Care: Experimental Study.

Journal of medical Internet research Nov 25, 2021
BACKGROUND: It is believed that artificial intelligence (AI) will be an integral part of health care services in the near future and will be incorporated into several aspects of clinical care such as prognosis, diagnostics, and care planning. Thus, m...
Surveys and Questionnaires Technology Trust Humans Artificial Intelligence Delivery of Health Care
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Telemedical percussion: objectifying a fundamental clinical examination technique for telemedicine.

International journal of computer assisted radiology and surgery Nov 24, 2021
PURPOSE: While demand for telemedicine is increasing, patients are currently restricted to tele-consultation for the most part. Fundamental diagnostics like the percussion still require the in person expertize of a physician. To meet today's challeng...
Surveys and Questionnaires Robotics Telemedicine Percussion Humans Physicians
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