AI Medical Compendium Topic:
Aged, 80 and over

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Automatic and robust estimation of sex and chronological age from panoramic radiographs using a multi-task deep learning network: a study on a South Korean population.

International journal of legal medicine Mar 12, 2024
Sex and chronological age estimation are crucial in forensic investigations and research on individual identification. Although manual methods for sex and age estimation have been proposed, these processes are labor-intensive, time-consuming, and err...
Sex Determination by Skeleton Age Determination by Teeth Middle Aged Deep Learning Adolescent Radiography, Panoramic Aged Aged, 80 and over Young Adult Adult Male Humans Republic of Korea Female
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Detection of urinary tract stones on submillisievert abdominopelvic CT imaging with deep-learning image reconstruction algorithm (DLIR).

Abdominal radiology (New York) Mar 12, 2024
PURPOSE: Urolithiasis is a chronic condition that leads to repeated CT scans throughout the patient's life. The goal was to assess the diagnostic performance and image quality of submillisievert abdominopelvic computed tomography (CT) using deep lear...
Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Radiography, Abdominal Aged Aged, 80 and over Adult Urolithiasis Sensitivity and Specificity Humans Urinary Calculi Male Algorithms Retrospective Studies Tomography, X-Ray Computed Female
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Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

Academic radiology Mar 11, 2024
RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation ...
Aortic Valve Stenosis Aged Coronary Angiography Humans Aged, 80 and over Radiographic Image Interpretation, Computer-Assisted Prospective Studies Male Radiation Dosage Tomography, X-Ray Computed Deep Learning Transcatheter Aortic Valve Replacement Female Contrast Media
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[Reduction of Motion Artifacts in Liver MRI Using Deep Learning with High-pass Filtering].

Nihon Hoshasen Gijutsu Gakkai zasshi Mar 11, 2024
PURPOSE: To investigate whether deep learning with high-pass filtering can be used to effectively reduce motion artifacts in magnetic resonance (MR) images of the liver.
Aged, 80 and over Adult Male Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Liver Motion Artifacts Humans Female Aged
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Transcatheter Aortic Valve Replacement Aortic Valve Humans Aged, 80 and over Predictive Value of Tests Coronary Vessels Retrospective Studies Male Coronary Angiography False Positive Reactions Female Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Reproducibility of Results Deep Learning Observer Variation Computed Tomography Angiography Aged Aortic Valve Stenosis Coronary Stenosis
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MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 8, 2024
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive ...
Male Middle Aged ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Retrospective Studies Female Aged Aged, 80 and over Radiomics Urinary Bladder Neoplasms Receptor, ErbB-2 Humans Machine Learning Algorithms
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Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [F]FDG PET/CT predicts survival in multiple myeloma.

European journal of nuclear medicine and molecular imaging Mar 8, 2024
PURPOSE: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding standardization of scan interpretation. Our group...
Middle Aged Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Bone Marrow Survival Analysis Multiple Myeloma Fluorodeoxyglucose F18 Female Aged Aged, 80 and over Adult Male Humans Artificial Intelligence Prognosis
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Perspective analysis of assistive robots for elderly in India.

Disability and rehabilitation. Assistive technology Mar 7, 2024
PURPOSE: Assistive technology for elderly are advancing, and this study aimed to analyse the Indian perspective on utilising assistive robot technology for aiding elderly individuals.
Age Factors Robotics Family Self-Help Devices Humans Adult Health Personnel Male Female Middle Aged Aged Surveys and Questionnaires Aged, 80 and over India
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Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm.

Journal of imaging informatics in medicine Mar 6, 2024
This study aimed to investigate the effects of intravenous injection of iodine contrast agent on the tracheal diameter and lung volume. In this retrospective study, a total of 221 patients (71.1 ± 12.4 years, 174 males) who underwent vascular dynamic...
Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Iodine Humans Contrast Media Infusions, Intravenous Aged, 80 and over Lung Volume Measurements Male Trachea Middle Aged Lung Deep Learning
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The LISA-PPV Formula: An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes.

American journal of ophthalmology Mar 6, 2024
PURPOSE: To investigate the relationship between effective lens position (ELP) and patient characteristics, and to further develop a new intraocular lens (IOL) calculation formula for cataract patients with previous pars plana vitrectomy (PPV).
Female Aged Aged, 80 and over Cross-Sectional Studies Male Humans Artificial Intelligence Retrospective Studies Phacoemulsification Biometry Vitrectomy Optics and Photonics Lens Implantation, Intraocular Middle Aged Refraction, Ocular Lenses, Intraocular Visual Acuity Cataract
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