AIMC Topic: Aged

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Treatment response to spironolactone in patients with heart failure with preserved ejection fraction: a machine learning-based analysis of two randomized controlled trials.

EBioMedicine
BACKGROUND: Whether there is a subset of patients with heart failure with preserved ejection fraction (HFpEF) that benefit from spironolactone therapy is unclear. We applied a machine learning approach to identify responders and non-responders to spi...

Dose reduction and toxicity of lenalidomide-dexamethasone in multiple myeloma: A machine-learning prediction model.

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
PURPOSE: Lenalidomide remains an effective drug for multiple myeloma, but it is often associated with adverse events and requires dose adjustments. The objective of this study was to propose a model for predicting whether a patient would require dose...

Understanding and interpreting CNN's decision in optical coherence tomography-based AMD detection.

European journal of ophthalmology
INTRODUCTION: Automated assessment of age-related macular degeneration (AMD) using optical coherence tomography (OCT) has gained significant research attention in recent years. Though a list of convolutional neural network (CNN)-based methods has bee...

Detecting schizophrenia with 3D structural brain MRI using deep learning.

Scientific reports
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve clas...

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
PURPOSE: Deep learning reconstruction (DLR) has been recommended as useful for improving image quality. Moreover, compressed sensing (CS) or DLR has been proposed as useful for improving temporal resolution and image quality on MR sequences in differ...

Robot-assisted radical nephrectomy using novel surgical robot platform, hinotori: Report of initial series of 13 cases.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: The aims of the present study were to describe the perioperative findings of the first series of patients undergoing robot-assisted radical nephrectomy (RARN) with a newly launched platform, the hinotori surgical robot system, and compare...

Elderly Patients' Outcomes After Robot-Assisted Radical Prostatectomy: A Single Center Experience.

Journal of laparoendoscopic & advanced surgical techniques. Part A
To assess the oncological and functional outcomes of patients aged 70 years or older after robot-assisted radical prostatectomy (RARP) and compare their results with younger men. Our study included 496 men who underwent RARP in our clinic between M...

Deep Learning Based Walking Tasks Classification in Older Adults Using fNIRS.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Decline in gait features is common in older adults and an indicator of increased risk of disability, morbidity, and mortality. Under dual task walking (DTW) conditions, further degradation in the performance of both the gait and the secondary cogniti...