Error: No operations allowed after statement closed.
SQL: SELECT COUNT(DISTINCT a.article_id) AS total FROM article_keywords ak JOIN keywords k ON ak.keyword_id = k.keyword_id JOIN articles a ON a.article_id = ak.article_id WHERE 0 = 0 AND k.keyword_url = 'middle-aged'
Detail:
Where Clause: WHERE 1=1
Middle Aged - AI Medical Compendium

AIMC Topic: Middle Aged

Clear Filters Showing 7791 to 0 of 0 articles

Machine learning-based analysis of Ga-PSMA-11 PET/CT images for estimation of prostate tumor grade.

Physical and engineering sciences in medicine Mar 25, 2024
Early diagnosis of prostate cancer, the most common malignancy in men, can improve patient outcomes. Since the tissue sampling procedures are invasive and sometimes inconclusive, an alternative image-based method can prevent possible complications an...
Oligopeptides Gallium Radioisotopes Gallium Isotopes Positron Emission Tomography Computed Tomography Prostatic Neoplasms Aged Neoplasm Grading Male Edetic Acid Middle Aged Humans ROC Curve Machine Learning Image Processing, Computer-Assisted
View on PubMed DOI

Machine learning-based prediction of tear osmolarity for contact lens practice.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) Mar 25, 2024
PURPOSE: This study addressed the utilisation of machine learning techniques to estimate tear osmolarity, a clinically significant yet challenging parameter to measure accurately. Elevated tear osmolarity has been observed in contact lens wearers and...
Female Young Adult Adult Male Middle Aged Surveys and Questionnaires Tears Osmolar Concentration Dry Eye Syndromes Humans Machine Learning Contact Lenses, Hydrophilic
View on PubMed DOI

From pixels to prognosis: Imaging biomarkers for discrimination and outcome prediction of pulmonary embolism : Original Research Article.

Emergency radiology Mar 25, 2024
PURPOSE: Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that...
Humans Aged Male Middle Aged Predictive Value of Tests Pulmonary Embolism Machine Learning Biomarkers Prognosis Retrospective Studies Female Computed Tomography Angiography
View on PubMed DOI

A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.

Headache Mar 25, 2024
OBJECTIVE: To develop a natural language processing (NLP) algorithm that can accurately extract headache frequency from free-text clinical notes.
Middle Aged Female Natural Language Processing Adult Headache Cross-Sectional Studies Humans Male Algorithms Retrospective Studies Electronic Health Records
View on PubMed DOI

Using artificial intelligence to predict choledocholithiasis: can machine learning models abate the use of MRCP in patients with biliary dysfunction?

ANZ journal of surgery Mar 25, 2024
BACKGROUND: Prompt diagnosis of choledocholithiasis is crucial for reducing disease severity, preventing complications and minimizing length of stay. Magnetic resonance cholangiopancreatography (MRCP) is commonly used to evaluate patients with suspec...
Male Middle Aged Risk Assessment Predictive Value of Tests Choledocholithiasis Retrospective Studies Humans Cholangiopancreatography, Magnetic Resonance Female Artificial Intelligence Aged Machine Learning Aged, 80 and over Adult
View on PubMed DOI

Preoperative detection of hepatocellular carcinoma's microvascular invasion on CT-scan by machine learning and radiomics: A preliminary analysis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Mar 24, 2024
INTRODUCTION: Microvascular invasion (MVI) is the main risk factor for overall mortality and recurrence after surgery for hepatocellular carcinoma (HCC).The aim was to train machine-learning models to predict MVI on preoperative CT scan.
Radiomics Male Middle Aged Humans Liver Neoplasms Neoplasm Invasiveness Neural Networks, Computer Retrospective Studies Carcinoma, Hepatocellular Microvessels Machine Learning Tomography, X-Ray Computed Female Aged
View on PubMed DOI

Convolutional neural network for identifying common bile duct stones based on magnetic resonance cholangiopancreatography.

Clinical radiology Mar 24, 2024
AIMS: To develop an auto-categorization system based on machine learning for three-dimensional magnetic resonance cholangiopancreatography (3D MRCP) to detect choledocholithiasis from healthy and symptomatic individuals.
Middle Aged Female Imaging, Three-Dimensional Humans Aged Common Bile Duct Choledocholithiasis Neural Networks, Computer Cholangiopancreatography, Magnetic Resonance Adult Gallstones Machine Learning Sensitivity and Specificity Prospective Studies Male
View on PubMed DOI

Prediction of cardiovascular and renal risk among patients with apparent treatment-resistant hypertension in the United States using machine learning methods.

Journal of clinical hypertension (Greenwich, Conn.) Mar 24, 2024
Apparent treatment-resistant hypertension (aTRH), defined as blood pressure (BP) that remains uncontrolled despite unconfirmed concurrent treatment with three antihypertensives, is associated with an increased risk of developing cardiovascular and re...
Kidney Failure, Chronic Stroke Myocardial Infarction Heart Failure United States Hypertension Blood Pressure Antihypertensive Agents Retrospective Studies Female Risk Factors Aged Adult Male Cardiovascular Diseases Middle Aged Risk Assessment Humans Machine Learning
View on PubMed DOI

Quality assurance of late gadolinium enhancement cardiac magnetic resonance images: a deep learning classifier for confidence in the presence or absence of abnormality with potential to prompt real-time image optimization.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 24, 2024
BACKGROUND: Late gadolinium enhancement (LGE) of the myocardium has significant diagnostic and prognostic implications, with even small areas of enhancement being important. Distinguishing between definitely normal and definitely abnormal LGE images ...
Contrast Media Magnetic Resonance Imaging Predictive Value of Tests Myocardium Reproducibility of Results Heart Diseases Humans Aged Image Interpretation, Computer-Assisted Male Databases, Factual Quality Assurance, Health Care Middle Aged Female Observer Variation Deep Learning Magnetic Resonance Imaging, Cine
View on PubMed DOI

Dual-Region Computed Tomography Radiomics-Based Machine Learning Predicts Subcarinal Lymph Node Metastasis in Patients with Non-small Cell Lung Cancer.

Annals of surgical oncology Mar 23, 2024
BACKGROUND: Noninvasively and accurately predicting subcarinal lymph node metastasis (SLNM) for patients with non-small cell lung cancer (NSCLC) remains challenging. This study was designed to develop and validate a tumor and subcarinal lymph nodes (...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Humans Machine Learning Prognosis Retrospective Studies Carcinoma, Non-Small-Cell Lung Radiomics Follow-Up Studies Male Lymphatic Metastasis Middle Aged Lymph Node Excision Lung Neoplasms Pneumonectomy Lymph Nodes
View on PubMed DOI
Popular Topics
Recent Journals