AIMC Topic: Thailand

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Development and internal validation of a machine-learning-developed model for predicting 1-year mortality after fragility hip fracture.

BMC geriatrics May 24, 2022
BACKGROUND: Fragility hip fracture increases morbidity and mortality in older adult patients, especially within the first year. Identification of patients at high risk of death facilitates modification of associated perioperative factors that can red...
Aged Thailand Bayes Theorem Hip Fractures Humans Machine Learning Retrospective Studies
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Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand "ThaiChana".

International journal of environmental research and public health May 17, 2022
The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been progressing worldwide. To mitigate the COVID-19 contraction, different contact tracing applications have been utilized such as Thai Chana from Thaila...
Thailand Deep Learning Mobile Applications Contact Tracing Humans Neural Networks, Computer COVID-19
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Deep learning and morphometric approach for Sex determination of the lumbar vertebrae in a Thai population.

Medicine, science, and the law Mar 21, 2022
Sex determination is a fundamental step in biological profile estimation from skeletal remains in forensic anthropology. This study proposes deep learning and morphometric technique to perform sex determination from lumbar vertebrae in a Thai populat...
Humans Female Male Forensic Anthropology Southeast Asian People Thailand Deep Learning Lumbar Vertebrae
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Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study.

The Lancet. Digital health Mar 7, 2022
BACKGROUND: Diabetic retinopathy is a leading cause of preventable blindness, especially in low-income and middle-income countries (LMICs). Deep-learning systems have the potential to enhance diabetic retinopathy screenings in these settings, yet pro...
Diabetic Retinopathy Prospective Studies Thailand Diabetes Mellitus Macular Edema Deep Learning Humans Cohort Studies
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Comparison of sex determination using three methods applied to the greater sciatic notch of os coxae in a Thai population: Dry bone morphology, 2-dimensional photograph morphometry, and deep learning artificial neural network.

Medicine, science, and the law Feb 10, 2022
The os coxa is commonly used for sex and age estimation with a high degree of accuracy. Our study aimed to compare the accuracy among three methods, which include a deep learning approach to increase the accuracy of sex prediction. A total sample of ...
Aged, 80 and over Adult Male Middle Aged Neural Networks, Computer Female Aged Sex Determination by Skeleton Thailand Deep Learning Pelvic Bones Humans
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Facial recognition accuracy in photographs of Thai neonates with Down syndrome among physicians and the Face2Gene application.

American journal of medical genetics. Part A Jul 21, 2021
Down syndrome (DS) is typically recognizable in those who present with multiple dysmorphism, especially in regard to facial phenotypes. However, as the presentation of DS in neonates is less obvious, a phenotype-based presumptive diagnosis is more ch...
Thailand Image Processing, Computer-Assisted Genetic Testing Female Humans Facial Recognition Software Artificial Intelligence Phenotype Infant, Newborn Face Physicians Male Down Syndrome
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The implementation of TORS for head and neck surgery in Thailand.

Journal of robotic surgery Feb 2, 2021
Transoral robotic surgery (TORS) is a novel surgical treatment of head and neck cancers, mainly for limited tumor in oropharynx and supraglottis. Despite the major advantage of favorable postoperative functional outcomes, many obstacles exist during ...
Retrospective Studies Thailand Head and Neck Neoplasms Humans Robotics Robotic Surgical Procedures
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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

Journal of diabetes research Dec 15, 2020
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR.
Fundus Oculi Middle Aged National Health Programs Mass Screening Macular Edema Prevalence Image Interpretation, Computer-Assisted Longitudinal Studies Reproducibility of Results Incidence Severity of Illness Index Thailand Photography Aged Predictive Value of Tests Humans Cell Proliferation Deep Learning Male Diabetic Retinopathy Female
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Can artificial intelligence achieve human-level performance? A pilot study of childhood sexual abuse detection in self-figure drawings.

Child abuse & neglect Oct 16, 2020
Childhood sexual abuse (CSA) is a worldwide phenomenon that has negative long-term consequences for the victims and their families, and inflicts a considerable economic toll on society. One of the main difficulties in treating CSA is victims' relucta...
Retrospective Studies Female Adult Diagnosis, Computer-Assisted Pilot Projects Male Thailand Neural Networks, Computer Artificial Intelligence Machine Learning Humans Child Child Abuse, Sexual Adult Survivors of Child Abuse Image Processing, Computer-Assisted Israel Self Disclosure
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An Artificial Neural Network Model for Assessing Frailty-Associated Factors in the Thai Population.

International journal of environmental research and public health Sep 18, 2020
Frailty, one of the major public health problems in the elderly, can result from multiple etiologic factors including biological and physical changes in the body which contribute to the reduction in the function of multiple bodily systems. A diagnosi...
Frail Elderly Geriatric Assessment Aged Thailand Humans Cross-Sectional Studies Frailty Neural Networks, Computer
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