Latest AI and machine learning research in fda general for healthcare professionals.
Interpreting ultra-high-resolution (UHR) remote sensing images requires models to search for sparse ...
Constraint-based metabolic modeling is a powerful way to study the mechanistic basis of cellular sta...
Segmentation models in automated optical inspection of wire-bonded semiconductors are typically devi...
Single-arm trials are an important study design for evaluating drug efficacy and safety without enro...
The US Food and Drug Administration (FDA) maintains a public list of artificial intelligence and mac...
Background: Despite improved cancer outcomes with kinase inhibitors (KIs), their cardiotoxicity rema...
Drug-induced arrhythmias, particularly Torsades de Pointes (TdP), pose a significant risk to patient...
Industrial anomaly detection is critical for manufacturing quality control, yet existing datasets ma...
Optical coherence tomography (OCT), a commonly used retinal imaging modality, plays a central role i...
Clinical time-series forecasting is increasingly studied for decision support, yet standard aggregat...
Protein post-translational modifications (PTMs), particularly phosphorylation, serve as the primary ...
With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monit...
Background: Surgical phase recognition is a critical prerequisite for context-aware operating rooms ...
Introduction Despite the proven benefits of reperfusion therapies in acute ischemic stroke, treatmen...
The technological maturity of in situ inspection and monitoring methods in additive manufacturing is...
The increasing global deployment of solar photovoltaic (PV) systems needs robust, scalable, and auto...
Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While ...
Monitoring frying oil degradation is critical for food safety, yet current practice relies on destru...
Semiconductor failure analysis (FA) requires engineers to examine inspection images, correlate equip...
Analog optical computers promise large efficiency gains for machine learning inference, yet no demon...
Background: The urgent care departments in Europe face a structural paradox: accelerating digitalisa...