AIMC Topic: Machine Learning

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The artificial intelligence in autopsy and crime scene analysis.

La Clinica terapeutica Jan 1, 2024
BACKGROUND: In the evolving field of forensic medicine, artificial intelligence (AI) technologies may revolutionize traditional autopsy practices by enhancing the precision and efficiency of postmortem examinations.
Autopsy Humans Machine Learning Forensic Medicine Neural Networks, Computer Artificial Intelligence
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The impact of artificial intelligence in the diagnosis and management of acoustic neuroma: A systematic review.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Schwann cell sheaths are the source of benign, slowly expanding tumours known as acoustic neuromas (AN). The diagnostic and treatment approaches for AN must be patient-centered, taking into account unique factors and preferences.
Deep Learning Humans Neuroma, Acoustic Artificial Intelligence Machine Learning
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GAN Learning Methods for Bulk RNA-Seq Data and Their Interpretive Application in the Context of Disease Progression.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
A generative adversarial network (GAN) is a generative model that consists of two adversarial networks, a discriminator and a generator, usually in the form of neural networks. One of the useful things about applying GANs is that they can synthesize ...
Neural Networks, Computer Machine Learning Algorithms Computational Biology Humans Disease Progression Sequence Analysis, RNA RNA-Seq
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New perspectives of forensic pathology through machine learning approach on autopsy data: a pilot study.

La Clinica terapeutica Jan 1, 2024
BACKGROUND: The analysis, interpretation and storage of information is entrusted to the individual expert, who bases his judgments on the knowledge resulting from the experience. The aim of this experimental study is to analyse and introduce a new li...
Female Aged Adult Humans Machine Learning Organ Size Cause of Death Autopsy Forensic Pathology Male Middle Aged Pilot Projects
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An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in TNM Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study.

Technology in cancer research & treatment Jan 1, 2024
To establish a model based on clinical and delta-radiomic features within ultrasound images using XGBoost machine learning to predict proliferation-associated nuclear antigen Ki-67 value ≥ 15% in TNM stage primary breast cancer (BC). Data were coll...
Follow-Up Studies Neoplasm Staging Ki-67 Antigen Female Middle Aged Breast Neoplasms Aged Ultrasonography Radiomics Adult Biomarkers, Tumor Humans Machine Learning Prognosis ROC Curve Neoadjuvant Therapy
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Association between Resting Heart Rate and Machine Learning-Based Brain Age in Middle- and Older-Age.

The journal of prevention of Alzheimer's disease Jan 1, 2024
BACKGROUND: Resting heart rate (RHR), has been related to increased risk of dementia, but the relationship between RHR and brain age is unclear.
Neuroimaging Humans Heart Rate Longitudinal Studies Aging Magnetic Resonance Imaging Machine Learning Middle Aged United Kingdom Female Rest Brain Aged Male
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Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant t...
Bayes Theorem Coronary Artery Disease Machine Learning Algorithms Female Humans Neural Networks, Computer Deep Learning Male Support Vector Machine Middle Aged
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A hybrid model for the classification of Autism Spectrum Disorder using Mu rhythm in EEG.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Autism Spectrum Disorder (ASD) is a condition with social interaction, communication, and behavioral difficulties. Diagnostic methods mostly rely on subjective evaluations and can lack objectivity. In this research Machine learning (ML) a...
Male Deep Learning Child Electroencephalography Wavelet Analysis Machine Learning Autism Spectrum Disorder Female Humans
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Mental fatigue recognition study based on 1D convolutional neural network and short-term ECG signals.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Mental fatigue has become a non-negligible health problem in modern life, as well as one of the important causes of social transportation, production and life accidents.
Male Electrocardiography Mental Fatigue Machine Learning Female Adult Humans Neural Networks, Computer
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Identifying best fall-related balance factors and robotic-assisted gait training attributes in 105 post-stroke patients using clinical machine learning models.

NeuroRehabilitation Jan 1, 2024
BACKGROUND: Despite the promising effects of robot-assisted gait training (RAGT) on balance and gait in post-stroke rehabilitation, the optimal predictors of fall-related balance and effective RAGT attributes remain unclear in post-stroke patients at...
Aged Adult Male Middle Aged Humans Machine Learning Female Stroke Rehabilitation Stroke Gait Disorders, Neurologic Accidental Falls Gait Robotics Exercise Therapy Postural Balance
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