AIMC Topic: Aged, 80 and over

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Machine learning-assisted diagnosis of parotid tumor by using contrast-enhanced CT imaging features.

Journal of stomatology, oral and maxillofacial surgery Sep 2, 2024
PURPOSE: This study aims to develop a machine learning diagnostic model for parotid gland tumors based on preoperative contrast-enhanced CT imaging features to assist in clinical decision-making.
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Middle Aged Young Adult Adolescent Adult Contrast Media Male Parotid Gland Parotid Neoplasms
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Performance of explainable artificial intelligence in guiding the management of patients with a pancreatic cyst.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Sep 2, 2024
BACKGROUND/OBJECTIVES: Pancreatic cyst management can be distilled into three separate pathways - discharge, monitoring or surgery- based on the risk of malignant transformation. This study compares the performance of artificial intelligence (AI) mod...
Pancreatic Neoplasms Pancreatic Cyst Humans Cyst Fluid Artificial Intelligence Female Aged Aged, 80 and over Adult Male Middle Aged
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Weakly supervised deep learning image analysis can differentiate melanoma from naevi on haematoxylin and eosin-stained histopathology slides.

Journal of the European Academy of Dermatology and Venereology : JEADV Aug 31, 2024
BACKGROUND: The broad histomorphological spectrum of melanocytic pathologies requires large data sets to develop accurate and generalisable deep learning (DL)-based diagnostic pathology classifiers. Weakly supervised DL promotes utilisation of larger...
Eosine Yellowish-(YS) Hematoxylin Aged Aged, 80 and over Adult Humans Middle Aged Male Female Deep Learning Melanoma Staining and Labeling Skin Neoplasms Diagnosis, Differential Nevus
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Hybrid clinical-radiomics model based on fully automatic segmentation for predicting the early expansion of spontaneous intracerebral hemorrhage: A multi-center study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 31, 2024
BACKGROUND: Early prediction of hematoma expansion (HE) is important for the development of therapeutic strategies for spontaneous intracerebral hemorrhage (sICH). Radiomics can help to predict early hematoma expansion in intracerebral hemorrhage. Ho...
Radiographic Image Interpretation, Computer-Assisted Hematoma Automation China Humans Time Factors Decision Support Techniques Nomograms Risk Factors Prognosis Retrospective Studies Cerebral Hemorrhage Aged Middle Aged Tomography, X-Ray Computed Predictive Value of Tests Aged, 80 and over Risk Assessment Radiomics Female Disease Progression Male Reproducibility of Results Deep Learning
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Deep learning approach for dysphagia detection by syllable-based speech analysis with daily conversations.

Scientific reports Aug 31, 2024
Dysphagia, a disorder affecting the ability to swallow, has a high prevalence among the older adults and can lead to serious health complications. Therefore, early detection of dysphagia is important. This study evaluated the effectiveness of a newly...
Humans Neural Networks, Computer Female Aged Aged, 80 and over Male Middle Aged Deep Learning Deglutition Speech Deglutition Disorders
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Health economic evaluation of an artificial intelligence (AI)-based rapid nutritional diagnostic system for hospitalised patients: A multicentre, randomised controlled trial.

Clinical nutrition (Edinburgh, Scotland) Aug 30, 2024
BACKGROUND & AIMS: Malnutrition is prevalent among hospitalised patients, and increases the morbidity, mortality, and medical costs; yet nutritional assessments on admission are not routine. This study assessed the clinical and economic benefits of u...
Cost-Benefit Analysis Nutritional Status Male Middle Aged Nutrition Assessment Malnutrition Humans Artificial Intelligence Female Hospitalization Aged Aged, 80 and over Adult
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Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study.

Medicina intensiva Aug 29, 2024
OBJECTIVE: To describe the results of the application of a Machine Learning (ML) model to predict in-hospital cardiac arrests (ICA) 24 hours in advance in the hospital wards.
Aged, 80 and over Male Middle Aged Heart Arrest Retrospective Studies Female Humans Hospitalization Machine Learning Aged
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Digital social media expression and social adaptability of the older adult driven by artificial intelligence.

Frontiers in public health Aug 29, 2024
INTRODUCTION: This study examines the impact of digital new media art on the health literacy and digital health literacy of older adults. It explores how digital new media art influences the social adaptability of the older adult, with a focus on var...
Social Media Health Literacy Humans Aged, 80 and over Artificial Intelligence Male Female Middle Aged Aged Smartphone
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Improved detection of small pulmonary embolism on unenhanced computed tomography using an artificial intelligence-based algorithm - a single centre retrospective study.

The international journal of cardiovascular imaging Aug 28, 2024
To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we re...
Female Reproducibility of Results Aged Aged, 80 and over Adult Humans Algorithms Retrospective Studies Incidental Findings Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Pulmonary Embolism Computed Tomography Angiography Pulmonary Artery Male Middle Aged Deep Learning Predictive Value of Tests
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Deep learning-assisted segmentation of X-ray images for rapid and accurate assessment of foot arch morphology and plantar soft tissue thickness.

Scientific reports Aug 28, 2024
The morphological characteristics of the foot arch and the plantar soft tissue thickness are pivotal in assessing foot health, which is associated with various foot and ankle pathologies. By applying deep learning image segmentation techniques to lat...
Deep Learning Adolescent Image Processing, Computer-Assisted Radiography Foot Young Adult Adult Male Middle Aged X-Rays Humans Retrospective Studies Female Aged Aged, 80 and over
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