Artificial Intelligence Medical Compendium

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

Showing 23,001 to 23,010 of 216,842 articles

From deviation risk to trajectory complexity: machine learning-based deviation characterization and tortuosity analysis for wellbore quality assessment.

Scientific reports
Unintentional wellbore deviation presents persistent challenges in drilling operations, often leading to cumulative trajectory irregularities that can compromise downhole equipment reliability and production performance. This study presents an integr... read more 

Thermomechanical properties of bio-based epoxy biocomposites reinforced with Dracaena draco fibrils and biochar: performance optimization using artificial neural networks.

Scientific reports
Driven by the urgent need to provide high-performance sustainable, high-performing composites as eco-friendly alternatives to petroleum-based materials in structural applications, this study explores enhancing partially bio-based epoxy (E) biocomposi... read more 

Measuring deep learning performance - an empirical study of performance distributions across architectures and tasks.

Scientific reports
Non-determinism in deep learning algorithm design and implementation leads to performance variation, meaning model performance is not a single value, but rather a distribution. These model performance distributions are underexplored despite their imp... read more 

Adaptive homomorphic federated learning framework for multi-institutional medical imaging with optimized diagnostic accuracy.

Scientific reports
The growing use of artificial intelligence (AI) in medicine has highlighted the imperative for privacy-preserving and high-accuracy diagnostic systems. Traditional federated learning (FL) solutions allow multi-institutional collaborative training of ... read more 

An intelligent transformer based framework for bilingual financial complaint classification.

Scientific reports
The manual processing of large volumes of bilingual consumer complaint data poses significant operational challenges, leading to delayed resolution times and inefficient resource utilization. This study presents the development and evaluation of an i... read more 

Enhancing classroom behavior analysis with multimodal data: a cross-attention fusion network approach.

Scientific reports
Classroom behavior analysis plays a crucial role in understanding student engagement, learning effectiveness, and instructional quality in higher education.This study presents a multimodal deep learning framework for classifying students' classroom b... read more 

Machine learning-optimized graphene-integrated refractory metasurface for broadband solar energy harvesting.

Scientific reports
A graphene-integrated refractory metasurface absorber is proposed for broadband solar thermal energy conversion. Near-unity broadband absorptance across 300-2500 nm is achieved through three concurrent mechanisms: free-space impedance matching, groun... read more 

Alpha phase coding supports feature binding during working memory maintenance.

Communications biology
The ability to successfully retain and manipulate information in working memory (WM) requires that objects' individual features are bound into cohesive representations; yet, the mechanisms supporting feature binding remain unclear. Binding (or swap) ... read more 

Geometric deep learning enables high-fidelity network imputation for HIV transmission modeling.

Communications medicine
BACKGROUND: Accurately mapping social and risk networks is critical for understanding and controlling infectious disease transmission, especially among hard-to-reach populations, such as people who inject drugs (PWID). Yet, empirical sociometric netw... read more 

Effective monitoring of online AI decision-making algorithms in just-in-time adaptive interventions.

NPJ digital medicine
Monitoring just-in-time adaptive interventions (JITAIs) is important both during trialing and when the intervention is deployed in a broader healthcare program. While there is increasing interest in using artificial intelligence (AI) algorithms in JI... read more