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Evaluation of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer Using MR Images and Deep Learning Neural Networks.

Current medical imaging Jan 1, 2024
INTRODUCTION: The aim of the study was to develop deep-learning neural networks to guide treatment decisions and for the accurate evaluation of tumor response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer using magnetic resonance (MR) imag...
Deep Learning Humans Treatment Outcome Neoadjuvant Therapy Neural Networks, Computer Magnetic Resonance Imaging Retrospective Studies Aged Female Adult Male Middle Aged Rectal Neoplasms Chemoradiotherapy
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New training, new attitudes: non-clinical components in Ukrainian medical PHDs training (regarding critical thinking, academic integrity and artificial intelligence use).

Wiadomosci lekarskie (Warsaw, Poland : 1960) Jan 1, 2024
OBJECTIVE: Aim: The paper studies the attitude to critical thinking, academic integrity and the Artificial Intelligence use of the Ukrainian medical PhD students.
Education, Medical, Graduate Thinking Humans Ukraine Adult Artificial Intelligence Plagiarism Female Students, Medical Male Surveys and Questionnaires
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Multi-Modal Sleep Stage Classification With Two-Stream Encoder-Decoder.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 1, 2024
Sleep staging serves as a fundamental assessment for sleep quality measurement and sleep disorder diagnosis. Although current deep learning approaches have successfully integrated multimodal sleep signals, enhancing the accuracy of automatic sleep st...
Signal Processing, Computer-Assisted Polysomnography Electrooculography Sleep Stages Young Adult Humans Male Adult Neural Networks, Computer Deep Learning Algorithms Electroencephalography Female
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Eichner classification based on panoramic X-ray images using deep learning: A pilot study.

Bio-medical materials and engineering Jan 1, 2024
BACKGROUND: Research using panoramic X-ray images using deep learning has been progressing in recent years. There is a need to propose methods that can classify and predict from image information.
Male Middle Aged Deep Learning Pilot Projects Image Processing, Computer-Assisted Radiography, Panoramic Humans Neural Networks, Computer Female Adult
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Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN).

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Connectome is understanding the complex organization of the human brain's structural and functional connectivity is essential for gaining insights into cognitive processes and disorders.
Humans Diffusion Magnetic Resonance Imaging Male Deep Learning Brain Schizophrenia Neural Networks, Computer Female Connectome Young Adult Machine Learning Adult
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Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RAWT) for stroke patients, very few studies have divided groups according to the severity levels of patients and conducted studies on the effects of RAW...
Exercise Therapy Activities of Daily Living Physical Therapy Modalities Stroke Rehabilitation Humans Robotics Postural Balance Prospective Studies Stroke Female Walking Male Aged Middle Aged Severity of Illness Index Adult
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Deep-Learning Model Prediction of Radiation Pneumonitis Using Pretreatment Chest Computed Tomography and Clinical Factors.

Technology in cancer research & treatment Jan 1, 2024
This study aimed to build a comprehensive deep-learning model for the prediction of radiation pneumonitis using chest computed tomography (CT), clinical, dosimetric, and laboratory data. Radiation therapy is an effective tool for treating patients ...
Lung Neoplasms Support Vector Machine Radiotherapy Dosage Radiation Pneumonitis Male Middle Aged Deep Learning ROC Curve Humans Neural Networks, Computer Prognosis Retrospective Studies Aged Aged, 80 and over Adult Tomography, X-Ray Computed Female
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Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications.

Journal of the American Board of Family Medicine : JABFM Jan 1, 2024
BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding the...
Female Adult Male Middle Aged Humans Machine Learning Education, Medical, Continuing Motivation Specialty Boards Surveys and Questionnaires Certification Clinical Competence Family Practice Educational Measurement United States
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Effects of robot-assisted upper limb training combined with intermittent theta burst stimulation (iTBS) on cortical activation in stroke patients: A functional near-infrared spectroscopy study.

NeuroRehabilitation Jan 1, 2024
BACKGROUND: The therapeutic effect and mechanism of robot-assisted upper limb training (RT) combined with intermittent theta burst stimulation (iTBS) for stroke patients are unclear.
Male Middle Aged Spectroscopy, Near-Infrared Treatment Outcome Robotics Humans Female Aged Adult Motor Cortex Stroke Transcranial Magnetic Stimulation Combined Modality Therapy Upper Extremity Stroke Rehabilitation
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Predicting patient-specific organ doses from thoracic CT examinations using support vector regression algorithm.

Journal of X-ray science and technology Jan 1, 2024
PURPOSE: This study aims to propose and develop a fast, accurate, and robust prediction method of patient-specific organ doses from CT examinations using minimized computational resources.
Radiography, Thoracic Monte Carlo Method Tomography, X-Ray Computed Female Aged Lung Adult Support Vector Machine Humans Male Radiation Dosage Algorithms Middle Aged
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