Abstract 4131488: Artificial Intelligence-Enhanced Electrocardiogram for the Diagnosis of Cardiac Amyloidosis: A Systemic Review and Meta-analysisdoi:10.1161/circ.150.suppl_1.4131488AmyloidosisArtificial IntelligenceElectrocardiographyBackground:Diagnosis of cardiac amyloidosis (CA) is often delayed due to ...
energy management systems, aggregated flexibility services and trading. A review of the artificial intelligence methods implemented in each of these services is conducted. Their interdependencies are mapped, proving that multiple services can be offered as a single clustered service to different stakeholders...
Intracranial hypertension (IH) is a key driver of secondary brain injury in patients with traumatic brain injury. Lowering intracranial pressure (ICP) as soon as IH occurs is important, but a preemptive approach would be more beneficial. We systematically reviewed the artificial intelligence (AI) ...
The recent advancements in artificial intelligence (AI) and machine learning have wide applications in plant pathology with sensors, drones, robots and intelligent monitoring systems. Computer vision based phenotyping of plant stress, diagnostics and severity assessment of plant diseases has gained momentum...
Artificial intelligence (AI) is an emerging tool to dissect imaging features. This systematic review and meta‐analysis aimed to evaluate the performance of AI to predict the HPV positivity through the HPV‐associated diseased images in HNC patients. A systematic literature search was conducted in ...
Background: The development of artificial intelligence (AI), machine learning (ML) and deep learning (DL) has advanced rapidly in the medical field, notably in trauma medicine. We aimed to systematically appraise the efficacy of AI, ML and DL models for predicting outcomes in tr...
However, it requires the development of both models and algorithms for the analysis of medical data, and advances in Artificial Intelligence (AI)-based algorithms have already revolutionized image segmentation processes. Precise segmentation of lesions may contribute to an efficien...