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Machine Learning to Predict the Risk of Malnutrition in Hospitalized Patients with Pneumonia and Analysis of Related Prognostic Factor.

Studies in health technology and informatics Aug 22, 2024
This study explored machine learning's potential in predicting the nutritional status and outcomes for pneumonia patients. It focused on 4,368 patients in a Taiwan medical center from Jan 2016 to Feb 2022, excluding ICU cases. The average age was 77....
Humans Risk Assessment Machine Learning Malnutrition Length of Stay Hospitalization Taiwan Prognosis Aged Pneumonia Female Aged, 80 and over Male
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Using Natural Language Processing on Expert Panel Discussions to Gain Insights for Recruitment, Retention and Intervention Adherence for Online Social Support Interventions on a Stage II-III Clinical Trial Among Hispanic and African American Dementia Caregivers.

Studies in health technology and informatics Aug 22, 2024
We applied natural language processing (NLP) to a corpus extracted from 4 hours of expert panel discussion transcripts to determine the sustainability of a Stage II-III clinical trial of online social support interventions for Hispanic and African Am...
Black or African American Caregivers Natural Language Processing Internet Patient Selection Hispanic or Latino Aged Social Support Dementia Humans
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Machine Learning with Clinical and Intraoperative Biosignal Data for Predicting Cardiac Surgery-Associated Acute Kidney Injury.

Studies in health technology and informatics Aug 22, 2024
Early identification of patients at high risk of cardiac surgery-associated acute kidney injury (CSA-AKI) is crucial for its prevention. We aimed to leverage perioperative clinical and intraoperative biosignal data to develop machine learning models ...
Humans Machine Learning Biomarkers Postoperative Complications Acute Kidney Injury Male Monitoring, Intraoperative Female Middle Aged Cardiac Surgical Procedures Aged
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Patient-led skin cancer teledermatology without dermoscopy during the COVID-19 pandemic: important lessons for the development of future patient-facing teledermatology and artificial intelligence-assisted -self-diagnosis.

Clinical and experimental dermatology Aug 22, 2024
MySkinSelfie is a mobile phone application for skin self-monitoring, enabling secure sharing of patient-captured images with healthcare providers. This retrospective study assessed MySkinSelfie's role in remote skin cancer assessment at two centres f...
Humans Referral and Consultation Dermoscopy Melanoma Remote Consultation SARS-CoV-2 Skin Neoplasms Aged Artificial Intelligence Carcinoma, Basal Cell Adult Mobile Applications COVID-19 Carcinoma, Squamous Cell Male Telemedicine Retrospective Studies Middle Aged Female Dermatology
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Vertebral compression fractures at abdominal CT: underdiagnosis, undertreatment, and evaluation of an AI algorithm.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research Aug 21, 2024
Vertebral compression fractures (VCFs) are common and indicate a high future risk of additional osteoporotic fractures. However, many VCFs are unreported by radiologists, and even if reported, many patients do not receive treatment. The purpose of th...
Humans Retrospective Studies Tomography, X-Ray Computed Female Spinal Fractures Artificial Intelligence Aged Fractures, Compression Algorithms Aged, 80 and over Undertreatment Male Middle Aged
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Fracture risk prediction in postmenopausal women with traditional and machine learning models in a nationwide, prospective cohort study in Switzerland with validation in the UK Biobank.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research Aug 21, 2024
Fracture prediction is essential in managing patients with osteoporosis and is an integral component of many fracture prevention guidelines. We aimed to identify the most relevant clinical fracture risk factors in contemporary populations by training...
UK Biobank Biological Specimen Banks United Kingdom Postmenopause Osteoporotic Fractures Machine Learning Prospective Studies Female Risk Factors Risk Assessment Fractures, Bone Switzerland Aged Middle Aged Humans
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Machine learning-based analysis identifies and validates serum exosomal proteomic signatures for the diagnosis of colorectal cancer.

Cell reports. Medicine Aug 20, 2024
The potential of serum extracellular vesicles (EVs) as non-invasive biomarkers for diagnosing colorectal cancer (CRC) remains elusive. We employed an in-depth 4D-DIA proteomics and machine learning (ML) pipeline to identify key proteins, PF4 and AACT...
Proteomics Proteome Exosomes Colorectal Neoplasms Humans Biomarkers, Tumor Machine Learning Male Female Middle Aged Aged
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CT radiomics-based machine learning model for differentiating between enchondroma and low-grade chondrosarcoma.

Medicine Aug 16, 2024
It may be difficult to distinguish between enchondroma and low-grade malignant cartilage tumors (grade 1) radiologically. This study aimed to construct machine learning models using 3D computed tomography (CT)-based radiomics analysis to differentiat...
Humans Tomography, X-Ray Computed Female Reproducibility of Results Machine Learning Retrospective Studies Male Neoplasm Grading Middle Aged Aged Chondrosarcoma Bone Neoplasms Young Adult Chondroma Diagnosis, Differential Adult Radiomics
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The Analysis of Proteomics by Machine Learning in Separating Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Interstitial Lung Disease.

American journal of respiratory and critical care medicine Aug 15, 2024
Humans Machine Learning Female Idiopathic Pulmonary Fibrosis Diagnosis, Differential Lung Diseases, Interstitial Connective Tissue Diseases Aged Male Middle Aged Proteomics
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Deep Learning-based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis.

American journal of respiratory and critical care medicine Aug 15, 2024
Despite evidence demonstrating a prognostic role for computed tomography (CT) scans in idiopathic pulmonary fibrosis (IPF), image-based biomarkers are not routinely used in clinical practice or trials. To develop automated imaging biomarkers using ...
Prognosis Deep Learning Male Idiopathic Pulmonary Fibrosis Tomography, X-Ray Computed Cohort Studies Middle Aged Female Predictive Value of Tests Aged United Kingdom Disease Progression Lung Humans Prospective Studies
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