Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

7,270 articles
Stay Ahead - Weekly Geriatrics research updates
Subscribe
Browse Categories
Subcategories: Alzheimer's Disease Medicare
Showing 2101-2121 of 7,270 articles
An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network.

Alzheimer's disease (AD) is the most generally known neurodegenerative disorder, leading to a steady...

Image-based laparoscopic camera steering versus conventional steering: a comparison study.

In the last 2 decades, multiple robotic camera holders have been developed to improve camera steerin...

Predicting individual traits from unperformed tasks.

Relating individual differences in cognitive traits to brain functional organization is a long-lasti...

Feedforward backpropagation artificial neural networks for predicting mechanical responses in complex nonlinear structures: A study on a long bone.

Feedforward backpropagation artificial neural networks (ANNs) have been increasingly employed in man...

Interpretable machine learning for high-dimensional trajectories of aging health.

We have built a computational model for individual aging trajectories of health and survival, which ...

P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization.

This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convo...

Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning.

In biological systems, Glutamic acid is a crucial amino acid which is used in protein biosynthesis. ...

End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.

BACKGROUND: The advancement of science and technologies play an immense role in the way scientific e...

Deep learning for subtyping the Alzheimer's disease spectrum.

In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about subtyping ...

Postoperative delirium prediction using machine learning models and preoperative electronic health record data.

BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to...

Rhabdomyolysis: An evidence-based approach.

A 76-year-old lady was found on the floor following a fall at home. She was uninjured, but unable to...

Machine learning and natural language processing to identify falls in electronic patient care records from ambulance attendances.

We derived machine learning models utilizing features generated by natural language processing (NLP)...

Multipath Cross Graph Convolution for Knowledge Representation Learning.

In the past, most of the entity prediction methods based on embedding lacked the training of local c...

A machine learning and blockchain based secure and cost-effective framework for minor medical consultations.

With the ever-increasing awareness among people regarding their health, visiting a doctor has become...

High-Speed Handling Robot with Bionic End-Effector for Large Glass Substrate in Clean Environment.

The development of "large display, high performance and low cost" in the FPD industry demands glass ...

Relieving the Incompatibility of Network Representation and Classification for Long-Tailed Data Distribution.

In the real-world scenario, data often have a long-tailed distribution and training deep neural netw...

Beneficent dehumanization: Employing artificial intelligence and carebots to mitigate shame-induced barriers to medical care.

As costs decline and technology inevitably improves, current trends suggest that artificial intellig...

Alteration of the corpus callosum in patients with Alzheimer's disease: Deep learning-based assessment.

BACKGROUND: Several studies have reported changes in the corpus callosum (CC) in Alzheimer's disease...

Application of AI and IoT in Clinical Medicine: Summary and Challenges.

The application of artificial intelligence (AI) technology in the medical field has experienced a lo...

Browse Categories