Geriatrics

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 cognitively impaired individuals based on structural imaging. Quantifying heterogeneity in Alzheimer's disease via subtyping could help us harness new disease-modifying therapies and improve patient care by providing a more targeted approach.

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 target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) data for POD prediction. We sought to develop and internally validate a ML-derived POD risk prediction model using preoperative risk features, and to c...

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 get up, and had been lying on the floor for rough...

Attenuation of Oxidative Stress, Interleukin-6, High-Sensitivity C-Reactive Protein, Plasminogen Activator Inhibitor-1, and Fibrinogen with Oral Vitamin D Supplementation in Patients with T2DM having Vitamin D Deficiency.

 Type 2 diabetes mellitus (T2DM) associated with oxidative stress and inflammation causes endothelial dysfunction, which promotes cardiovascular risk...

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) of free-text data from an ambulance services prov...

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 core relationships, resulting in a deficiency in th...

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 quite common. However, with the onset of the COVI...

Is Blood Loss Greater in Elderly Patients under Antiplatelet or Anticoagulant Medication for Cervical Spine Injury Surgery? A Japanese Multicenter Survey.

INTRODUCTION: In elderly patients with cervical spinal cord injury, comorbidities such as cardiovascular and cerebrovascular diseases are common, with...

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 substrates to be "larger and thinner". Therefore, ...

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 networks on such an imbalanced dataset has become a gr...

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 intelligence (AI) and a variety of "carebots" will increas...

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. However, the involved region differed according ...

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 long history of development. In turn, some long-stan...

Automated Hyperspectral 2D/3D Raman Analysis Using the Learner-Predictor Strategy: Machine Learning-Based Inline Raman Data Analytics.

Synchronously detecting multiple Raman spectral signatures in two-dimensional/three-dimensional (2D/3D) hyperspectral Raman analysis is a daunting cha...

Assessing red blood cell deformability from microscopy images using deep learning.

Red blood cells (RBCs) must be highly deformable to transit through the microvasculature to deliver oxygen to tissues. The loss of RBC deformability r...

Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns.

Trajectories of cognitive decline vary considerably among individuals with mild cognitive impairment (MCI). To address this heterogeneity, subtyping a...

Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation.

Abnormal tau inclusions are hallmarks of Alzheimer's disease and predictors of clinical decline. Several tau PET tracers are available for neurodegene...

Ethical issues of smart home-based elderly care: A scoping review.

AIM: To explore current research on the ethics of smart home technologies including artificial intelligence and information technologies for elderly c...

Structural, functional and molecular pathogenesis of pelvic organ prolapse in patient and deficient mice.

Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis and an ideal animal model are crucial to developi...

Gene prediction of aging-related diseases based on DNN and Mashup.

BACKGROUND: At present, the bioinformatics research on the relationship between aging-related diseases and genes is mainly through the establishment o...