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Humans - AI Medical Compendium

AIMC Topic: Humans

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DeepAIP: Deep learning for anti-inflammatory peptide prediction using pre-trained protein language model features based on contextual self-attention network.

International journal of biological macromolecules Sep 30, 2024
Non-steroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, and other immunosuppressants are commonly used medications for treating inflammation. However, these drugs often come with numerous side effects. Therefore, finding more effective metho...
Humans Peptides Deep Learning Computational Biology Anti-Inflammatory Agents
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Development and validation of a robotic system for milling individualized jawbone cavities in oral and maxillofacial surgery.

Journal of dentistry Sep 30, 2024
OBJECTIVES: This study aimed to develop and validate a robotic system capable of performing accurate and minimally invasive jawbone milling procedures in oral and maxillofacial surgery.
Stereolithography Minimally Invasive Surgical Procedures Surgery, Computer-Assisted Models, Anatomic Models, Dental Tooth, Supernumerary Surgery, Oral Computer-Aided Design Humans Maxilla Software Printing, Three-Dimensional Robotics
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Demystifying unsupervised learning: how it helps and hurts.

Trends in cognitive sciences Sep 30, 2024
Humans and machines rarely have access to explicit external feedback or supervision, yet manage to learn. Most modern machine learning systems succeed because they benefit from unsupervised data. Humans are also expected to benefit and yet, mysteriou...
Unsupervised Machine Learning Humans Learning
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Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods.

Computers in biology and medicine Sep 30, 2024
Feature attribution methods can visually highlight specific input regions containing influential aspects affecting a deep learning model's prediction. Recently, the use of feature attribution methods in electrocardiogram (ECG) classification has been...
Deep Learning Electrocardiography Signal Processing, Computer-Assisted Humans Databases, Factual
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Valid inference for machine learning-assisted genome-wide association studies.

Nature genetics Sep 30, 2024
Machine learning (ML) has become increasingly popular in almost all scientific disciplines, including human genetics. Owing to challenges related to sample collection and precise phenotyping, ML-assisted genome-wide association study (GWAS), which us...
Polymorphism, Single Nucleotide Phenotype Bone Density Genome-Wide Association Study Humans Machine Learning Algorithms
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Fast, variable stiffness-induced braided coiled artificial muscles.

Proceedings of the National Academy of Sciences of the United States of America Sep 30, 2024
Biomimetic actuation technologies with high muscle strokes, cycle rates, and work capacities are necessary for robotic systems. We present a muscle type that operates based on changes in muscle stiffness caused by volume expansion. This muscle is cre...
Humans Biomechanical Phenomena Muscle Contraction Muscles Muscle, Skeletal Robotics Biomimetics
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Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis.

Circulation. Cardiovascular imaging Sep 30, 2024
BACKGROUND: Plaque quantification from coronary computed tomography angiography has emerged as a valuable predictor of cardiovascular risk. Deep learning can provide automated quantification of coronary plaque from computed tomography angiography. We...
Coronary Vessels Middle Aged Risk Factors Plaque, Atherosclerotic Risk Assessment Age Factors Computed Tomography Angiography Aged Deep Learning Coronary Artery Disease Predictive Value of Tests Humans Male Myocardial Infarction Coronary Angiography Prognosis Sex Factors Female
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Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study.

The lancet. Healthy longevity Sep 30, 2024
BACKGROUND: Biological ageing markers are useful to risk stratify morbidity and mortality more precisely than chronological age. In this study, we aimed to develop a novel deep-learning-based biological ageing marker (referred to as RetiPhenoAge here...
Mortality Photography Retina Aged Morbidity Middle Aged Humans Male United Kingdom Deep Learning Biomarkers Aging Cohort Studies Female Cardiovascular Diseases
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Retrospective Analysis of Radiofrequency Ablation in Patients with Small Solitary Hepatocellular Carcinoma: Survival Outcomes and Development of a Machine Learning Prognostic Model.

Current medical science Sep 30, 2024
BACKGROUND AND OBJECTIVE: The effectiveness of radiofrequency ablation (RFA) in improving long-term survival outcomes for patients with a solitary hepatocellular carcinoma (HCC) measuring 5 cm or less remains uncertain. This study was designed to elu...
Humans Machine Learning Radiofrequency Ablation Middle Aged ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome SEER Program Aged Prognosis Adult Retrospective Studies Male Female
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Machine Learning Algorithm to Predict Atrial Fibrillation Using Serial 12-Lead ECGs Based on Left Atrial Remodeling.

Journal of the American Heart Association Sep 30, 2024
BACKGROUND: We hypothesized that analysis of serial ECGs could predict new-onset atrial fibrillation (AF) more accurately than analysis of a single ECG by detecting the subtle cardiac remodeling that occurs immediately before AF occurrence. Our aim i...
Algorithms Retrospective Studies Female Humans Machine Learning Electrocardiography Predictive Value of Tests Atrial Fibrillation Atrial Remodeling Aged Male Middle Aged
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