AIMC Topic: Aged

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Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies.

The lancet. Healthy longevity
Artificial intelligence (AI)-enhanced interventions show promise for improving the delivery of long-term care (LTC) services for older people. However, the research field is developmental and has yet to be systematically synthesised. This systematic ...

Linguistic Redundancy and its Effects on Younger and Older Adults' Real-Time Comprehension and Memory.

Cognitive science
Redundant modifiers can facilitate referential interpretation by narrowing attention to intended referents. This is intriguing because, on traditional accounts, redundancy should impair comprehension. Little is known, however, about the effects of re...

Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm.

Neurosurgical focus
OBJECTIVE: Damage to the thoracolumbar spine can confer significant morbidity and mortality. The Thoracolumbar Injury Classification and Severity Score (TLICS) is used to categorize injuries and determine patients at risk of spinal instability for wh...

Retinal photograph-based deep learning predicts biological age, and stratifies morbidity and mortality risk.

Age and ageing
BACKGROUND: ageing is an important risk factor for a variety of human pathologies. Biological age (BA) may better capture ageing-related physiological changes compared with chronological age (CA).

Feasibility of salvage robotic partial nephrectomy after ablative treatment failure (UroCCR-62 study).

Minerva urology and nephrology
BACKGROUND: Ablative therapies (AT) are increasingly being offered to patients with kidney tumors. In cases of failure or local relapse, salvage surgery may be required. Such procedures often require an open approach, are difficult and have received ...

Predictors of Toxicity Among Older Adults with Cancer.

Seminars in radiation oncology
An increasing number of cancer patients are of advanced age as the incidence of cancer increases with age. In this article, the clinical predictors of toxicity that may help in treatment selection are addressed, as well as mitigators of toxicity. The...

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning.

JAMA cardiology
IMPORTANCE: Early detection and characterization of increased left ventricular (LV) wall thickness can markedly impact patient care but is limited by under-recognition of hypertrophy, measurement error and variability, and difficulty differentiating ...

Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.

Briefings in bioinformatics
Deep learning is a promising tool that uses nonlinear transformations to extract features from high-dimensional data. Deep learning is challenging in genome-wide association studies (GWAS) with high-dimensional genomic data. Here we propose a novel t...

Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records.

The journals of gerontology. Series A, Biological sciences and medical sciences
BACKGROUND: Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however, it is labor-intensive and impractical for large-scale studies. Natura...

A systemic review and meta-analysis of the effects of perioperative anticoagulant and antiplatelet therapy on bleeding complications in robot-assisted prostatectomy.

European review for medical and pharmacological sciences
OBJECTIVE: Robot-assisted prostatectomy is commonly performed for the management of prostate cancer. The literature has noted that prostate cancer patients are often prone to increased risk for thromboembolic complications. Normally, such situations ...