AIMC Topic: Aged

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Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma.

Scientific reports Dec 30, 2024
Immune checkpoint inhibitor (ICI) treatment has proven successful for advanced melanoma, but is associated with potentially severe toxicity and high costs. Accurate biomarkers for response are lacking. The present work is the first to investigate the...
Deep Learning ROC Curve Immune Checkpoint Inhibitors Treatment Outcome Humans Retrospective Studies Tomography, X-Ray Computed Female Melanoma Aged Adult Male Middle Aged
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Predicting local control of brain metastases after stereotactic radiotherapy with clinical, radiomics and deep learning features.

Radiation oncology (London, England) Dec 30, 2024
BACKGROUND AND PURPOSE: Timely identification of local failure after stereotactic radiotherapy for brain metastases allows for treatment modifications, potentially improving outcomes. While previous studies showed that adding radiomics or Deep Learni...
Humans Deep Learning Magnetic Resonance Imaging Radiosurgery Adult Prognosis Radiomics Retrospective Studies Brain Neoplasms Female Male Aged Middle Aged Aged, 80 and over
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Food for thought: a qualitative assessment of medical trainee and faculty perceptions of nutrition education.

BMC medical education Dec 30, 2024
BACKGROUND: The American Society of Clinical Nutrition recommends 37 to 44 h of undergraduate medical nutrition education. The Total Health Curriculum at Geisinger Commonwealth School of Medicine (GCSOM) contains 14 h of objective-based nutritional i...
Attitude of Health Personnel Adult Nutritional Sciences Curriculum Students, Medical Humans Education, Medical, Undergraduate Male Female Faculty, Medical Aged Middle Aged Focus Groups Young Adult Qualitative Research
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A new risk assessment model of venous thromboembolism by considering fuzzy population.

BMC medical informatics and decision making Dec 30, 2024
BACKGROUND: Inpatients with high risk of venous thromboembolism (VTE) usually face serious threats to their health and economic conditions. Many studies using machine learning (ML) models to predict VTE risk overlook the impact of class-imbalance pro...
Middle Aged Risk Assessment China Support Vector Machine Fuzzy Logic Machine Learning Venous Thromboembolism Female Humans Aged Adult Male
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An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study.

BMC musculoskeletal disorders Dec 30, 2024
BACKGROUND: Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU patients and presents significant challenges for patient care and resource allocation. Predicting prolonged dependence on mechanical ventilation is cruc...
Humans Support Vector Machine Male Critical Illness Predictive Value of Tests Middle Aged Intensive Care Units Artificial Intelligence Risk Assessment Female Machine Learning Respiration, Artificial Aged Retrospective Studies Time Factors Adult
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Development of an individualized dementia risk prediction model using deep learning survival analysis incorporating genetic and environmental factors.

Alzheimer's research & therapy Dec 30, 2024
BACKGROUND: Dementia is a major public health challenge in modern society. Early detection of high-risk dementia patients and timely intervention or treatment are of significant clinical importance. Neural network survival analysis represents the mos...
Proportional Hazards Models Deep Learning Humans Dementia Prospective Studies Survival Analysis Female United Kingdom Risk Factors Aged Male Middle Aged Risk Assessment
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Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features.

BMC medical imaging Dec 30, 2024
BACKGROUND: To develop and validate an interpretable machine learning model based on intratumoral and peritumoral radiomics combined with clinicoradiological features and metabolic information from magnetic resonance spectroscopy (MRS), to predict cl...
Aged Radiomics Male Middle Aged Prostatic Neoplasms Neoplasm Grading Humans Magnetic Resonance Spectroscopy Machine Learning Multiparametric Magnetic Resonance Imaging Algorithms Retrospective Studies
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A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.

BMC musculoskeletal disorders Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Adult Male Middle Aged Treatment Outcome Follow-Up Studies Retrospective Studies Female Aged Aged, 80 and over Young Adult Bone Plates Radius Fractures Intra-Articular Fractures Wrist Joint Wrist Fractures Fracture Fixation, Internal Cluster Analysis Hand Strength Radiography Range of Motion, Articular Humans Machine Learning
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Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND AND OBJECTIVE: The injury of the cholinergic white matter pathway underlies cognition decline in patients with silent cerebrovascular disease (SCD) with white matter hyperintensities (WMH) of vascular origin. However, the evaluation of the...
Cognitive Dysfunction Aged Humans Cognition Aged, 80 and over Algorithms Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Male Female White Matter Middle Aged Predictive Value of Tests Reproducibility of Results Cholinergic Neurons Deep Learning Cerebrovascular Disorders Leukoencephalopathies Cholinergic Fibers
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Prediction of futile recanalisation after endovascular treatment in acute ischaemic stroke: development and validation of a hybrid machine learning model.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND: Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging. Here, we present a novel risk stratification system based on hybrid machine learning met...
Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Humans Machine Learning Decision Support Techniques Databases, Factual Prospective Studies Treatment Outcome Predictive Value of Tests Ischemic Stroke Endovascular Procedures Aged, 80 and over Medical Futility Male Middle Aged Risk Assessment Time Factors
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