Artificial Intelligence Medical Compendium

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

Showing 23,301 to 23,310 of 217,176 articles

BIM-integrated carbon footprint assessment for sustainable buildings using real-time monitoring and optimization.

Scientific reports May 4, 2026
The substantial contribution of the building sector to global carbon emissions highlights the limitations of conventional static assessment approaches and motivates the exploration of real-time, operation-oriented carbon management strategies. This s... read more 

An interpretable progressive residual network for automated multiclass diabetes diagnosis.

Scientific reports May 4, 2026
Diabetes mellitus remains one of the most widespread and burdensome chronic diseases worldwide, yet invasive assays and high costs constrain early detection. Existing machine-learning studies often reduce diagnosis to a binary task and overlook the c... read more 

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

Scientific reports May 4, 2026
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 May 4, 2026
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 May 4, 2026
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 May 4, 2026
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 May 4, 2026
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 May 4, 2026
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 May 4, 2026
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 May 4, 2026
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 
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