AI Medical Compendium Journal:
Computer methods and programs in biomedicine

Showing 81 to 90 of 844 articles

EpiBrCan-Lite: A lightweight deep learning model for breast cancer subtype classification using epigenomic data.

Computer methods and programs in biomedicine Dec 4, 2024
BACKGROUND AND OBJECTIVES: Early breast cancer subtypes classification improves the survival rate as it facilitates prognosis of the patient. In literature this problem was prominently solved by various Machine Learning and Deep Learning techniques. ...
Breast Neoplasms Deep Learning Epigenomics DNA Methylation Humans Algorithms Female
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Using machine learning models for predicting monthly iPTH levels in hemodialysis patients.

Computer methods and programs in biomedicine Nov 30, 2024
BACKGROUND AND OBJECTIVE: Intact parathyroid hormone (iPTH), also known as active parathyroid hormone, is an important indicator commonly for monitoring secondary hyperparathyroidism (SHPT) in patients undergoing hemodialysis. The aim of this study w...
Female Hyperparathyroidism, Secondary Male Risk Assessment Predictive Value of Tests Humans Registries Machine Learning Parathyroid Hormone Renal Dialysis Retrospective Studies Time Factors Taiwan
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Raw photoplethysmogram waveforms versus peak-to-peak intervals for machine learning detection of atrial fibrillation: Does waveform matter?

Computer methods and programs in biomedicine Nov 28, 2024
BACKGROUND: Machine learning-based analysis can accurately detect atrial fibrillation (AF) from photoplethysmograms (PPGs), however the computational requirements for analyzing raw PPG waveforms can be significant. The analysis of PPG-derived peak-to...
Male Algorithms Photoplethysmography Middle Aged Humans Smartphone Signal Processing, Computer-Assisted Female Neural Networks, Computer Atrial Fibrillation Aged Machine Learning
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Image-based Artificial Intelligence models in the diagnosis and classification of vascular anomalies of the soft tissue in the head and neck.

Computer methods and programs in biomedicine Nov 22, 2024
BACKGROUND: The International Society for the Study of Vascular Anomalies (ISSVA) provides a detailed classification system to facilitate accurate diagnosis and management of these conditions based on clinical criteria, imaging, and histopathological...
Artificial Intelligence Neck Vascular Malformations Head Humans
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Development and Assessment of an AI-based Machine Learning Model for Predicting Urinary Continence and Erectile Function Recovery after Robotic-Assisted Radical Prostatectomy: Insights from a Prostate Cancer Referral Center.

Computer methods and programs in biomedicine Nov 20, 2024
INTRODUCTION: Prostate cancer remains a significant health concern, with radical prostatectomy being a common treatment approach. However, predicting postoperative functional outcomes, particularly urinary continence and erectile function, poses chal...
Aged Male Middle Aged Recovery of Function Area Under Curve Prostatic Neoplasms Artificial Intelligence Machine Learning Algorithms Humans Neural Networks, Computer Robotic Surgical Procedures Penile Erection Prostatectomy Urinary Incontinence Erectile Dysfunction
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CIMIL-CRC: A clinically-informed multiple instance learning framework for patient-level colorectal cancer molecular subtypes classification from H&E stained images.

Computer methods and programs in biomedicine Nov 19, 2024
BACKGROUND AND OBJECTIVE: Treatment approaches for colorectal cancer (CRC) are highly dependent on the molecular subtype, as immunotherapy has shown efficacy in cases with microsatellite instability (MSI) but is ineffective for the microsatellite sta...
Humans Neural Networks, Computer Microsatellite Instability Eosine Yellowish-(YS) Hematoxylin Deep Learning Image Processing, Computer-Assisted Machine Learning Principal Component Analysis Algorithms Colorectal Neoplasms
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Stress recognition identifying relevant facial action units through explainable artificial intelligence and machine learning.

Computer methods and programs in biomedicine Nov 17, 2024
BACKGROUND AND OBJECTIVE: Facial cues and expressions constitute a component of bodily responses that provide useful information about one's stress levels. According to the Facial Action Coding System, they can be modelled consistently in terms of fu...
Face Facial Expression Facial Muscles Adult Male Stress, Psychological Algorithms Female Young Adult Artificial Intelligence Machine Learning Humans
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Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models.

Computer methods and programs in biomedicine Nov 16, 2024
BACKGROUND AND OBJECTIVE: Colorectal cancer is one of the major causes of cancer death worldwide. Essential for prognosis and treatment planning, TNM staging offers critical insights into the advancement of colorectal cancer. However, manual TNM stag...
Neoplasm Staging Spain Colorectal Neoplasms Magnetic Resonance Imaging Natural Language Processing Humans Algorithms Language
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BreathVisionNet: A pulmonary-function-guided CNN-transformer hybrid model for expiratory CT image synthesis.

Computer methods and programs in biomedicine Nov 14, 2024
BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) has high heterogeneity in etiologies and clinical manifestations. Expiratory Computed tomography (CT) can effectively assess air trapping, aiding in disease diagnosis. However, du...
Image Processing, Computer-Assisted Respiratory Function Tests Exhalation Tomography, X-Ray Computed Humans Pulmonary Disease, Chronic Obstructive Neural Networks, Computer Lung Algorithms
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Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024).

Computer methods and programs in biomedicine Nov 12, 2024
BACKGROUND AND OBJECTIVES: Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD) are progressive neurological disorders that significantly impair the cognitive functions, memory, and daily activities. They affect millions of individuals worldw...
Humans Electroencephalography Alzheimer Disease Diagnosis, Computer-Assisted Deep Learning Cognitive Dysfunction
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