AIMC Topic: Aged, 80 and over
Clear Filters Showing 621 to 630 of 3430 articles
Deep learning predicted perceived age is a reliable approach for analysis of facial ageing: A proof of principle study.
Journal of the European Academy of Dermatology and Venereology : JEADV
Oct 3, 2024
BACKGROUND: Perceived age (PA) has been associated with mortality, genetic variants linked to ageing and several age-related morbidities. However, estimating PA in large datasets is laborious and costly to generate, limiting its practical applicabili...
Machine learning models based on CT radiomics features for distinguishing benign and malignant vertebral compression fractures in patients with malignant tumors.
Acta radiologica (Stockholm, Sweden : 1987)
Oct 1, 2024
BACKGROUND: Radiomics has become an important tool for distinguishing benign and malignant vertebral compression fractures (VCFs). It is more clinically significant to concentrate on patients who have malignant tumors and differentiate between benign...
A machine learning approach in a monocentric cohort for predicting primary refractory disease in Diffuse Large B-cell lymphoma patients.
PloS one
Oct 1, 2024
INTRODUCTION: Primary refractory disease affects 30-40% of patients diagnosed with DLBCL and is a significant challenge in disease management due to its poor prognosis. Predicting refractory status could greatly inform treatment strategies, enabling ...
Deep Learning Classification of Ischemic Stroke Territory on Diffusion-Weighted MRI: Added Value of Augmenting the Input with Image Transformations.
Journal of imaging informatics in medicine
Sep 30, 2024
Our primary aim with this study was to build a patient-level classifier for stroke territory in DWI using AI to facilitate fast triage of stroke to a dedicated stroke center. A retrospective collection of DWI images of 271 and 122 consecutive acute i...
Machine learning model outperforms the ACS Risk Calculator in predicting non-home discharge following primary total knee arthroplasty.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Sep 30, 2024
PURPOSE: Despite the increase in outpatient total knee arthroplasty (TKA) procedures, many patients are still discharged to non-home locations following index surgery. The ability to accurately predict non-home discharge (NHD) following TKAs has the ...
Prediction of Lesion-Based Treatment Response after Two Cycles of Lu-177 Prostate Specific Membrane Antigen Treatment in Metastatic Castration-Resistant Prostate Cancer Using Machine Learning.
Urologia internationalis
Sep 30, 2024
INTRODUCTION: Lutetium-177 (Lu-177) prostate-specific membrane antigen (PSMA) therapy is a radionuclide treatment that prolongs overall survival in metastatic castration-resistant prostate cancer (MCRPC). We aimed to predict lesion-based treatment re...
Humans
Machine Learning
Aged, 80 and over
Male
Middle Aged
Retrospective Studies
Aged
Lutetium
Prostatic Neoplasms, Castration-Resistant
Radioisotopes
Antigens, Surface
Treatment Outcome
Gallium Radioisotopes
Positron Emission Tomography Computed Tomography
Glutamate Carboxypeptidase II
Radiopharmaceuticals
Neoplasm Metastasis
Development of a COVID-19 early risk assessment system based on multiple machine learning algorithms and routine blood tests: a real-world study.
Frontiers in immunology
Sep 30, 2024
BACKGROUNDS: During the Coronavirus Disease 2019 (COVID-19) epidemic, the massive spread of the disease has placed an enormous burden on the world's healthcare and economy. The early risk assessment system based on a variety of machine learning (ML) ...
Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables.
Sensors (Basel, Switzerland)
Sep 29, 2024
BACKGROUND: Recent studies on machine learning have shown the potential to provide new methods with which to assess pain through the measurement of signals associated with physiologic responses to pain detected by wearables. We conducted a prospectiv...
COVID-19 from symptoms to prediction: A statistical and machine learning approach.
Computers in biology and medicine
Sep 28, 2024
During the COVID-19 pandemic, the analysis of patient data has become a cornerstone for developing effective public health strategies. This study leverages a dataset comprising over 10,000 anonymized patient records from various leading medical insti...
Artificial intelligence age prediction using electrocardiogram data: Exploring biological age differences.
Heart rhythm
Sep 27, 2024
BACKGROUND: Biological age can be predicted using artificial intelligence (AI) trained on electrocardiograms (ECGs), which is prognostic for mortality and cardiovascular events.
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