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Deep learning radiomics for the prediction of epidermal growth factor receptor mutation status based on MRI in brain metastasis from lung adenocarcinoma patients.

BMC cancer Mar 12, 2025
BACKGROUND: Early and accurate identification of epidermal growth factor receptor (EGFR) mutation status in non-small cell lung cancer (NSCLC) patients with brain metastases is critical for guiding targeted therapy. This study aimed to develop a deep...
Male Adenocarcinoma of Lung Middle Aged Deep Learning ROC Curve Lung Neoplasms Magnetic Resonance Imaging Mutation ErbB Receptors Humans Retrospective Studies Female Aged Adult Radiomics Brain Neoplasms
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Development and validation of machine learning models for predicting extubation failure in patients undergoing cardiac surgery: a retrospective study.

Scientific reports Mar 12, 2025
Patients with multiple comorbidities and those undergoing complex cardiac surgery may experience extubation failure and reintubation. The aim of this study was to establish an extubation prediction model using explainable machine learning and identif...
Algorithms Humans Retrospective Studies Machine Learning Female Aged Male Middle Aged Cardiac Surgical Procedures Airway Extubation
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Investigating the increase in the specialized performance of athletes using artificial neural network (ANN) exercises.

Scientific reports Mar 12, 2025
Badminton, a dynamic and fast-paced racket sport, demands a unique combination of physical, technical, and cognitive abilities from its players. This study investigates the impact of a tailored core strength training program on the specialized perfor...
Athletic Performance Athletes Racquet Sports Adult Male Humans Resistance Training Neural Networks, Computer Female Young Adult
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Mapping variants in thyroid hormone transporter MCT8 to disease severity by genomic, phenotypic, functional, structural and deep learning integration.

Nature communications Mar 12, 2025
Predicting and quantifying phenotypic consequences of genetic variants in rare disorders is a major challenge, particularly pertinent for 'actionable' genes such as thyroid hormone transporter MCT8 (encoded by the X-linked SLC16A2 gene), where loss-o...
Phenotype Humans Genomics Female Muscle Hypotonia Thyroid Hormones Monocarboxylic Acid Transporters Male Loss of Function Mutation Symporters Muscular Atrophy Deep Learning X-Linked Intellectual Disability
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Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease.

Scientific reports Mar 12, 2025
Every year, Coronary Artery Disease (CAD) claims lives of over a million people. CAD occurs when the coronary arteries, responsible for supplying oxygenated blood to the heart, get occluded due to plaque deposits on their inner walls. The most critic...
Male Middle Aged Photoplethysmography Blood Pressure Signal Processing, Computer-Assisted Coronary Artery Disease Early Diagnosis Arterial Pressure Humans Machine Learning Female Aged
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Artificial intelligence for weight estimation in paediatric emergency care.

BMJ paediatrics open Mar 12, 2025
OBJECTIVE: To develop and validate a paediatric weight estimation model adapted to the characteristics of the Spanish population as an alternative to currently extended methods.
Child, Preschool Child Body Mass Index Emergency Medical Services Body Weight Anthropometry Spain Female Male Infant Adolescent Humans Artificial Intelligence Machine Learning
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Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study.

JMIR medical informatics Mar 12, 2025
BACKGROUND: Processing data from electronic health records (EHRs) to build research-grade databases is a lengthy and expensive process. Modern arthroplasty practice commonly uses multiple sites of care, including clinics and ambulatory care centers. ...
Electronic Health Records Female Aged Male Machine Learning Algorithms Databases, Factual Middle Aged Natural Language Processing Arthroplasty, Replacement, Hip Humans
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Patient Perspectives on Conversational Artificial Intelligence for Atrial Fibrillation Self-Management: Qualitative Analysis.

Journal of medical Internet research Mar 12, 2025
BACKGROUND: Conversational artificial intelligence (AI) allows for engaging interactions, however, its acceptability, barriers, and enablers to support patients with atrial fibrillation (AF) are unknown.
Artificial Intelligence Female Aged Self-Management Humans Qualitative Research Interviews as Topic Atrial Fibrillation Communication Male Middle Aged
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Social robots as conversational catalysts: Enhancing long-term human-human interaction at home.

Science robotics Mar 12, 2025
The integration of social robots into family environments raises critical questions about their long-term influence on family interactions. This study explores the potential of social robots as conversational catalysts in human-human dyadic interacti...
Social Interaction Parent-Child Relations Female Child, Preschool Humans Child Adult Parents Communication Robotics Male
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Augmenting rehabilitation robotics with spinal cord neuromodulation: A proof of concept.

Science robotics Mar 12, 2025
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these ther...
Adult Male Middle Aged Robotics Humans Female Spinal Cord Injuries Paralysis Neural Prostheses Spinal Cord Stimulation Equipment Design Walking Spinal Cord Proof of Concept Study
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