AIMC Topic: Aged, 80 and over
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Artificial Intelligence in BI-RADS Categorization of Breast Lesions on Ultrasound: Can We Omit Excessive Follow-ups and Biopsies?
Academic radiology
Dec 11, 2023
RATIONALE AND OBJECTIVES: Artificial intelligence (AI) systems have been increasingly applied to breast ultrasonography. They are expected to decrease the workload of radiologists and to improve diagnostic accuracy. The aim of this study is to evalua...
Predictive value of preoperative Fried Frailty Phenotype assessment and serum biomarkers on the prognosis of elderly patients with femoral neck fracture under general anesthesia within 3 months after surgery.
Turkish journal of medical sciences
Dec 11, 2023
BACKGROUND/AIM: Femoral neck fracture (FNF) seriously impact the health of the elderly and affect their long-term quality of life of the patients. This study aimed to determine whether combining the preoperative Fried Frailty Phenotype (FFP) with ser...
Robotic Versus Thoracoscopic Sub-lobar Resection for Octogenarians with Clinical Stage IA Non-small Cell Lung Cancer: A Propensity Score-Matched Real-World Study.
Annals of surgical oncology
Dec 10, 2023
BACKGROUND: Minimally invasive sub-lobectomy is sufficient in treating small early-stage non-small cell lung cancer (NSCLC). However, comparison of the feasibility and oncologic efficacy between robot-assisted thoracoscopic surgery (RATS) and video-a...
The ENGAGE study: evaluation of a conversational virtual agent that provides tailored pre-test genetic education to cancer patients.
Journal of cancer survivorship : research and practice
Dec 8, 2023
PURPOSE: Novel approaches are needed to ensure all patients with cancer have access to quality genetic education before genetic testing to enable informed treatment decisions. The purpose of this study was to test the use of an artificial intelligenc...
Contrast-Enhanced CT-Based Deep Learning Radiomics Nomogram for the Survival Prediction in Gallbladder Cancer.
Academic radiology
Dec 6, 2023
RATIONALE AND OBJECTIVES: An accurate prognostic model is essential for the development of treatment strategies for gallbladder cancer (GBC). This study proposes an integrated model using clinical features, radiomics, and deep learning based on contr...
ASO Author Reflections: Should We Prefer Robotic over Thoracoscopic Surgery for Sublobar Resection in Octogenarians with Pulmonary Nodules ≤ 2 cm?
Annals of surgical oncology
Dec 6, 2023
Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy.
International journal of radiation oncology, biology, physics
Dec 5, 2023
PURPOSE: Non-small cell lung cancer (NSCLC) stereotactic body radiation therapy with 50 Gy/5 fractions is sometimes considered controversial, as the nominal biologically effective dose (BED) of 100 Gy is felt by some to be insufficient for long-term ...
Classifying Alzheimer's disease and normal subjects using machine learning techniques and genetic-environmental features.
Journal of the Formosan Medical Association = Taiwan yi zhi
Dec 2, 2023
BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factors. The accuracy of artificial neural networks (ANNs) incorporating the common factors for identifying AD has not been evaluated.
Neural Networks, Computer
Polymorphism, Single Nucleotide
Humans
Sensitivity and Specificity
Machine Learning
Support Vector Machine
Male
Case-Control Studies
ROC Curve
Female
Aged
Aged, 80 and over
Alzheimer Disease
Gene-Environment Interaction
Mitochondrial Precursor Protein Import Complex Proteins
Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study.
Academic radiology
Nov 27, 2023
RATIONALE AND OBJECTIVES: To construct and validate a deep learning radiomics (DLR) model based on X-ray images for predicting and distinguishing acute and chronic osteoporotic vertebral fractures (OVFs).
CT analysis of aortic calcifications to predict abdominal aortic aneurysm rupture.
European radiology
Nov 24, 2023
BACKGROUND: Abdominal aortic aneurysm (AAA) rupture prediction based on sex and diameter could be improved. The goal was to assess whether aortic calcification distribution could better predict AAA rupture through machine learning and LASSO regressio...
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