AIMC Topic: Aged

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Construction of a combined prognostic model for pancreatic ductal adenocarcinoma based on deep learning and digital pathology images.

BMC gastroenterology Oct 31, 2024
BACKGROUND: Deep learning has made significant advancements in the field of digital pathology, and the integration of multiple models has further improved accuracy. In this study, we aimed to construct a combined prognostic model using deep learning-...
Male Middle Aged Risk Assessment Deep Learning Carcinoma, Pancreatic Ductal Proportional Hazards Models Pancreatic Neoplasms Predictive Value of Tests Humans Prognosis Retrospective Studies Female Aged
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Innovative label-free lymphoma diagnosis using infrared spectroscopy and machine learning on tissue sections.

Communications biology Oct 31, 2024
The diagnosis of lymphomas is challenging due to their diverse histological presentations and clinical manifestations. There is a need for inexpensive tools that require minimal expertise and are accessible for routine laboratories. Contrastingly, cu...
Least-Squares Analysis Male Middle Aged Spectroscopy, Fourier Transform Infrared Lymphoma Machine Learning Female Aged Adult Humans
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Exploring the feasibility of FOCUS DWI with deep learning reconstruction for breast cancer diagnosis: A comparative study with conventional DWI.

PloS one Oct 31, 2024
PURPOSE: This study compared field-of-view (FOV) optimized and constrained undistorted single-shot diffusion-weighted imaging (FOCUS DWI) with deep-learning-based reconstruction (DLR) to conventional DWI for breast imaging.
Image Processing, Computer-Assisted Feasibility Studies Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Humans Adult Prospective Studies Breast Neoplasms Female Middle Aged Aged Deep Learning
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Development of a web-based tool for estimating individualized survival curves in glioblastoma using clinical, mRNA, and tumor microenvironment features with fusion techniques.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Oct 30, 2024
OBJECTIVE: Glioblastoma (GBM), one of the most common brain tumors, is known for its low survival rates and poor treatment responses. This study aims to create a robust predictive model that integrates multiple feature types, including clinical data,...
Machine Learning Prognosis Female Aged Adult Humans Middle Aged RNA, Messenger Glioblastoma Internet SEER Program Survival Rate Tumor Microenvironment Brain Neoplasms Male
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Early Detection of Breast Cancer in MRI Using AI.

Academic radiology Oct 30, 2024
RATIONALE AND OBJECTIVES: To develop and evaluate an AI algorithm that detects breast cancer in MRI scans up to one year before radiologists typically identify it, potentially enhancing early detection in high-risk women.
Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Female Humans Sensitivity and Specificity Breast Neoplasms Middle Aged Adolescent Magnetic Resonance Imaging Aged Aged, 80 and over Young Adult Adult Early Detection of Cancer Image Interpretation, Computer-Assisted
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Machine learning-derived clinical decision algorithm for the diagnosis of hyperfunctioning parathyroid glands in patients with primary hyperparathyroidism.

European radiology Oct 30, 2024
PURPOSE: To train and validate machine learning-derived clinical decision algorithm (CDA) for the diagnosis of hyperfunctioning parathyroid glands using preoperative variables to facilitate surgical planning.
Single Photon Emission Computed Tomography Computed Tomography Four-Dimensional Computed Tomography Technetium Tc 99m Sestamibi Aged Adult Sensitivity and Specificity Male Parathyroidectomy Hyperparathyroidism, Primary Parathyroid Glands Middle Aged Radiopharmaceuticals Algorithms Retrospective Studies Humans Clinical Decision-Making Machine Learning Female
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Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.

JACC. Cardiovascular interventions Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Time Factors Treatment Outcome Predictive Value of Tests Tomography, Optical Coherence Artificial Intelligence Female Image Interpretation, Computer-Assisted Prospective Studies Aged Automation Republic of Korea Coronary Angiography Male Coronary Vessels Humans Percutaneous Coronary Intervention Middle Aged Coronary Artery Disease Stents
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Development and validation of a machine learning-based diagnostic model for Parkinson's disease in community-dwelling populations: Evidence from the China health and retirement longitudinal study (CHARLS).

Parkinsonism & related disorders Oct 30, 2024
BACKGROUND: Parkinson's disease (PD) is a major neurodegenerative disorder in Middle-aged and elderly people.There is a pressing need for effective predictive models, particularly in chinese population.
Independent Living Middle Aged China Longitudinal Studies Parkinson Disease Female Aged Aged, 80 and over Humans Male Machine Learning
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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.

Medical image analysis Oct 30, 2024
Acute ischemic stroke (AIS) remains a global health challenge, leading to long-term functional disabilities without timely intervention. Spatio-temporal (4D) Computed Tomography Perfusion (CTP) imaging is crucial for diagnosing and treating AIS due t...
Humans Female Aged Deep Learning Ischemic Stroke Stroke Male Middle Aged Metadata Thrombectomy Perfusion Imaging Four-Dimensional Computed Tomography
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Quantitative analysis of imaging characteristics in lung adenocarcinoma in situ using artificial intelligence.

Thoracic cancer Oct 30, 2024
BACKGROUND: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) is a critical early stage of lung cancer, necessitating accurate diagnosis for early intervention. This study applies artificial intelligence (AI) for...
Lung Neoplasms Adenocarcinoma of Lung Adenocarcinoma in Situ Humans Artificial Intelligence Tomography, X-Ray Computed Adult Male Middle Aged Female Aged
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