AIMC Topic: Humans

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Application of machine learning in the analysis of multiparametric MRI data for the differentiation of treatment responses in breast cancer: retrospective study.

European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) Jun 19, 2024
OBJECTIVE: The objective of this study is to develop and validate a multiparametric MRI model employing machine learning to predict the effectiveness of treatment and the stage of breast cancer.
Retrospective Studies Female Aged Humans Machine Learning Prognosis China Treatment Outcome Neoplasm Staging Multiparametric Magnetic Resonance Imaging Adult Breast Neoplasms Middle Aged
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A Machine Learning Algorithm Avoids Unnecessary Paracentesis for Exclusion of SBP in Cirrhosis in Resource-limited Settings.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jun 19, 2024
BACKGROUND & AIMS: Despite the poor prognosis associated with missed or delayed spontaneous bacterial peritonitis (SBP) diagnosis, <15% get timely paracentesis, which persists despite guidelines/education in the United States. Measures to exclude SBP...
Algorithms Retrospective Studies Female Aged Male Middle Aged Humans Resource-Limited Settings Machine Learning Liver Cirrhosis Paracentesis United States Unnecessary Procedures Bacterial Infections Peritonitis
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Development of a machine learning-based risk model for postoperative complications of lung cancer surgery.

Surgery today Jun 19, 2024
PURPOSE: To develop a comorbidity risk score specifically for lung resection surgeries.
Humans Machine Learning Postoperative Complications Comorbidity ROC Curve Male Middle Aged Female Risk Assessment Risk Factors Aged Lung Neoplasms Pneumonectomy Risk
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Machine Learning-Based Models for Advanced Fibrosis and Cirrhosis Diagnosis in Chronic Hepatitis B Patients With Hepatic Steatosis.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jun 19, 2024
BACKGROUND AND AIMS: The global rise of chronic hepatitis B (CHB) superimposed on hepatic steatosis (HS) warrants noninvasive, precise tools for assessing fibrosis progression. This study leveraged machine learning (ML) to develop diagnostic models f...
Liver Biopsy Hepatitis B, Chronic ROC Curve Humans Fatty Liver Machine Learning Liver Cirrhosis Female Adult Male Middle Aged
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Can AI Answer My Questions? Utilizing Artificial Intelligence in the Perioperative Assessment for Abdominoplasty Patients.

Aesthetic plastic surgery Jun 19, 2024
BACKGROUND: Abdominoplasty is a common operation, used for a range of cosmetic and functional issues, often in the context of divarication of recti, significant weight loss, and after pregnancy. Despite this, patient-surgeon communication gaps can hi...
Perioperative Care Abdominoplasty Humans Artificial Intelligence Female Male Physician-Patient Relations Feasibility Studies
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Intellectual assessment of amyotrophic lateral sclerosis using deep resemble forward neural network.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
ALS (Amyotrophic Lateral Sclerosis) is a neurodegenerative disorder causing profound physical disability that severely impairs a patient's life expectancy and quality of life. It also leads to muscular atrophy and progressive weakness of muscles due ...
Humans Neural Networks, Computer Machine Learning Reproducibility of Results Algorithms Deep Learning Amyotrophic Lateral Sclerosis
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Inductive reasoning with type-constrained encoding for emerging entities.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Knowledge graph reasoning, vital for addressing incompleteness and supporting applications, faces challenges with the continuous growth of graphs. To address this challenge, several inductive reasoning models for encoding emerging entities have been ...
Humans Neural Networks, Computer Machine Learning Algorithms Knowledge Computer Simulation Semantics
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Self-architectural knowledge distillation for spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Spiking neural networks (SNNs) have attracted attention due to their biological plausibility and the potential for low-energy applications on neuromorphic hardware. Two mainstream approaches are commonly used to obtain SNNs, i.e., ANN-to-SNN conversi...
Knowledge Algorithms Models, Neurological Action Potentials Humans Neural Networks, Computer Machine Learning
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Multi-modal segmentation with missing image data for automatic delineation of gross tumor volumes in head and neck cancers.

Medical physics Jun 19, 2024
BACKGROUND: Head and neck (HN) gross tumor volume (GTV) auto-segmentation is challenging due to the morphological complexity and low image contrast of targets. Multi-modality images, including computed tomography (CT) and positron emission tomography...
Automation Humans Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Positron Emission Tomography Computed Tomography Tumor Burden
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Video-based automatic hand hygiene detection for operating rooms using 3D convolutional neural networks.

Journal of clinical monitoring and computing Jun 19, 2024
Hand hygiene among anesthesia personnel is important to prevent hospital-acquired infections in operating rooms; however, an efficient monitoring system remains elusive. In this study, we leverage a deep learning approach based on operating room vide...
Algorithms Sensitivity and Specificity Deep Learning Humans Neural Networks, Computer Cross Infection Operating Rooms Hand Hygiene Video Recording Anesthesiology
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