AIMC Topic: Humans

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Artificial intelligence-based identification of octenidine as a Bcl-xL inhibitor.

Biochemical and biophysical research communications Dec 20, 2021
Apoptosis plays an essential role in maintaining cellular homeostasis and preventing cancer progression. Bcl-xL, an anti-apoptotic protein, is an important modulator of the mitochondrial apoptosis pathway and is a promising target for anticancer ther...
bcl-2 Homologous Antagonist-Killer Protein Molecular Docking Simulation Pyridines Antineoplastic Agents Imines bcl-X Protein Protein Binding Cell Proliferation Humans Apoptosis Artificial Intelligence Cell Line Neoplasms
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LightAnomalyNet: A Lightweight Framework for Efficient Abnormal Behavior Detection.

Sensors (Basel, Switzerland) Dec 20, 2021
The continuous development of intelligent video surveillance systems has increased the demand for enhanced vision-based methods of automated detection of anomalies within various behaviors found in video scenes. Several methods have appeared in the l...
Humans Neural Networks, Computer Accidental Falls
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Machine Learning and Its Application in Skin Cancer.

International journal of environmental research and public health Dec 20, 2021
Artificial intelligence (AI) has wide applications in healthcare, including dermatology. Machine learning (ML) is a subfield of AI involving statistical models and algorithms that can progressively learn from data to predict the characteristics of ne...
Humans Skin Neoplasms Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms
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The use and applicability of machine learning algorithms in predicting the surgical outcome for patients with benign prostatic enlargement. Which model to use?

Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica Dec 20, 2021
OBJECTIVES: Artificial intelligence (AI) is increasingly used in medicine, but data on benign prostatic enlargement (BPE) management are lacking. This study aims to test the performance of several machine learning algorithms, in predicting clinical o...
Treatment Outcome Humans Prostatic Hyperplasia Artificial Intelligence Machine Learning Algorithms Male
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Does transition from standard to Retzius-sparing technique in robot-assisted radical prostatectomy affect the functional and oncological outcomes?

Archivio italiano di urologia, andrologia : organo ufficiale [di] Societa italiana di ecografia urologica e nefrologica Dec 20, 2021
OBJECTIVE: To appraise the outcomes on the Retzius-sparing robot-assisted radical prostatectomy (Rs-RARP) learning curve of a surgeon with previous experience of anterior (standard) RARP.
Male Treatment Outcome Robotics Prostatic Neoplasms Robotic Surgical Procedures Humans Prostatectomy
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Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies.

Scientific reports Dec 20, 2021
Chronic exertional compartment syndrome (CECS) is a condition occurring most frequently in the lower limbs and often requires corrective surgery to alleviate symptoms. Amongst military personnel, the success rates of this surgery can be as low as 20%...
Chronic Exertional Compartment Syndrome Area Under Curve Military Personnel Linear Models Leg Fasciotomy Return to Work Support Vector Machine Lower Extremity Models, Statistical Adult Time Factors Sensitivity and Specificity ROC Curve Male Treatment Outcome Humans Middle Aged Female Machine Learning Exercise Reproducibility of Results Prognosis Surveys and Questionnaires Young Adult
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A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning.

Scientific reports Dec 20, 2021
Stroke poses an immense public health burden and remains among the primary causes of death and disability worldwide. Emergent therapy is often precluded by late or indeterminate times of onset before initial clinical presentation. Rapid, mobile, safe...
Algorithms Brain Computer Simulation Humans Neural Networks, Computer ROC Curve Area Under Curve Head Reproducibility of Results Diagnosis, Computer-Assisted Deep Learning Normal Distribution Electromagnetic Fields Hemorrhagic Stroke Microwaves Stochastic Processes Scattering, Radiation
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Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.

BMJ open Dec 20, 2021
OBJECTIVES: Artificial intelligence (AI) algorithms have been developed to detect imaging features on chest X-ray (CXR) with a comprehensive AI model capable of detecting 124 CXR findings being recently developed. The aim of this study was to evaluat...
Humans Artificial Intelligence Prospective Studies Algorithms Deep Learning Radiologists
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Clinical feature-related single-base substitution sequence signatures identified with an unsupervised machine learning approach.

BMC medical genomics Dec 20, 2021
BACKGROUND: Mutation processes leave different signatures in genes. For single-base substitutions, previous studies have suggested that mutation signatures are not only reflected in mutation bases but also in neighboring bases. However, because of th...
Unsupervised Machine Learning Mutation Mutation, Missense Humans Algorithms Cluster Analysis
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Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses.

BMC medical research methodology Dec 20, 2021
BACKGROUND: Systematic reviews are the cornerstone of evidence-based medicine. However, systematic reviews are time consuming and there is growing demand to produce evidence more quickly, while maintaining robust methods. In recent years, artificial ...
Retrospective Studies Mass Screening Evidence-Based Medicine Humans Artificial Intelligence Research Design
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