Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 71,831 to 71,840 of 234,892 articles

EnsembleRegNet: Interpretable deep learning for transcriptional network inference from single-cell RNA-seq.

Computational biology and chemistry
Gene regulatory networks (GRNs) govern gene expression and cellular identity, but accurately inferring their structure from high-dimensional single-cell RNA sequencing (scRNA-seq) data remains a major challenge. Here, we present EnsembleRegNet, a dee... read more 

Investigation of cervical cell image segmentation technology based on deep learning and non-coding RNAs.

Non-coding RNA research
BACKGROUND: Cervical cancer remains a significant health concern worldwide, necessitating effective diagnostic methods such as cervical cell image segmentation. This review outlines the challenges and importance of accurately segmenting cervical cell... read more 

Impact Detection in Fall Events: Leveraging Spatio-temporal Graph Convolutional Networks and Recurrent Neural Networks Using 3D Skeleton Data.

Journal of healthcare informatics research
Fall represents a significant risk of accidental death among individuals aged over 65, presenting a global health concern. A fall is defined as any event where a person loses balance and moves to an off-position, which may or may not result in an imp... read more 

Therapy Without a Therapist: Chatbots and Artificial Intelligence in Mental Health.

The Psychiatric clinics of North America
A number of articles have heralded the use of artificial intelligence (AI) agents to serve as a replacement for human psychotherapists. Despite the rapid advancements in the use of both rule-based and generative AI programs in the recent past, an ove... read more 

Developing and Evaluating a Natural Language Processing Algorithm to Detect Insulin Pump and Continuous Glucose Monitor Use in Electronic Health Records of Patients with Type 1 Diabetes.

Diabetes technology & therapeutics
OBJECTIVE: We aimed to develop and validate natural language processing (NLP) algorithms to identify insulin pump and continuous glucose monitor (CGM) users using unstructured clinical note data from the electronic health record (EHR). METHODS: We re... read more 

Machine Learning Model for an App-Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis.

Veterinary dermatology
BACKGROUND: Canine atopic dermatitis (cAD) is a chronic condition requiring life-long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. OBJECTIVES: This study aimed to generate a simple diagnostic model for cAD. MAT... read more 

Artificial intelligence and peripheral neuropathies: Strategies for the development, application, and repair of regenerative biomaterials.

Neural regeneration research
Traditional repair methods for peripheral neuropathies, such as autologous and allogeneic nerve grafts, face limitations, while peripheral nerve regeneration materials have emerged as a promising alternative. However, current biomaterials are mostly ... read more 

Structure and function of voltage-gated sodium channel Nav1.6: Involvement in the pathological process of neural injury.

Neural regeneration research
The voltage-gated sodium channel Nav1.6, encoded by the sodium voltage-gated channel alpha subunit 8 gene, is a crucial regulator of neuronal excitability, with widespread expression throughout the central and peripheral nervous systems. Recent break... read more 

AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
PURPOSE: Osteoporosis is an under-screened musculoskeletal disorder that results in diminished quality of life and significant burden to the healthcare system. We aimed to evaluate the ability of Rho, an artificial intelligence (AI) tool, to prospect... read more