Artificial Intelligence Medical Compendium

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

Showing 611 to 620 of 6,689 articles

A Multi-Scale attention network for building extraction from high-resolution remote sensing images.

Scientific reports
The information in remote sensing images often leads to incomplete building contours and suboptimal adaptability to complex building scenes. To address these issues, we propose a novel multi-scale network with dual attention mechanisms to extract cle... read more 

A self-learning method with domain knowledge integration for intelligent welding sequence planning.

Scientific reports
Due to the emergence of mass personalized production, intelligent welding systems must achieve high levels of productivity and flexibility. Therefore, a self-learning welding-task sequencing method that is driven by data and knowledge was developed d... read more 

AI based natural inhibitor targeting RPS20 for colorectal cancer treatment using integrated computational approaches.

Scientific reports
The increasing global incidence of cancer emphasizes the vital role of machine learning algorithms and artificial intelligence (AI) in identifying novel anticancer targets and developing new drugs. Computational approaches can significantly quicken r... read more 

Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization.

Scientific reports
Gastric Tract Disease (GTD) constitutes a medical emergency, emphasizing the critical importance of early diagnosis and intervention to lessen its severity. Clinical practices often utilize endoscopy-supported examinations for GTD screening. The imag... read more 

An integrated AI-driven framework for maximizing the efficiency of heterostructured nanomaterials in photocatalytic hydrogen production.

Scientific reports
The urgency for sustainable and efficient hydrogen production has increased interest in heterostructured nanomaterials, known for their excellent photocatalytic properties. Traditional synthesis methods often rely on trial-and-error, resulting in ine... read more 

SynergyBug: A deep learning approach to autonomous debugging and code remediation.

Scientific reports
Bug detection and resolution are pivotal to maintaining the quality, reliability, and performance of software systems. Manual debugging, along with traditional static rule-based methods, proves inefficient when applied to complex software structures ... read more 

Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces.

Scientific reports
In recent years, machine learning models have exhibited excellent performance and far-reaching impact across domains such as fraud detection in finance, recommendation systems in e-commerce, medical imaging in healthcare, agricultural forecasting, so... read more 

Transparent conductive oxides as a material platform for a realization of all-optical photonic neural networks.

Scientific reports
Photonics integrated circuits have an enormous potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks. They can overcome the existing speed and power limits of the elec... read more 

Exploration and validation of the prognostic value of mitophagy and mitochondrial dynamics-related genes in cervical cancer.

Scientific reports
The mechanisms underlying mitophagy and mitochondrial dynamics (MD) in cervical cancer (CC), a disease with a high mortality rate, remain poorly understood. This study aimed to assess the prognostic significance of these processes in CC. Mendelian ra... read more 

Aqua-MC as a simple open access code for uncountable runs of AquaCrop.

Scientific reports
Understanding uncertainty in crop modeling is essential for improving prediction accuracy and decision-making in agricultural management. Monte Carlo simulations are widely used for uncertainty and sensitivity analysis, but their application to close... read more