Artificial Intelligence Medical Compendium

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

Showing 48,511 to 48,520 of 224,199 articles

Scenario-based portfolio optimization via bootstrapping and machine learning methods: Theory development and empirical evidence from the Tehran Stock Market.

PloS one
Predicting future returns and modeling return uncertainty are essential yet challenging tasks in portfolio optimization. To address these issues, this study proposes a hybrid approach combining machine learning for return prediction, bootstrapping fo... read more 

QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing.

PloS one
Scaling and Latency Issues Processing blockchain transactions is a challenge with respect to throughput and latency, while also being resilient against quantum adversaries. To overcome these,m this research presents QRBT:Quantum Driven Reinforcement ... read more 

AdaptiveInvolutionNet: Spatially-adaptive involution with channel-wise attention for breast MRI tumor classification.

PloS one
BACKGROUND: Early and accurate classification of breast tumors from MRI scans is essential for improving patient outcomes. However, a key limitation of conventional deep learning models, such as Convolutional Neural Networks (CNNs), is their difficul... read more 

DrugReasoner: Interpretable drug approval prediction with a reasoning-augmented language model.

PloS one
Drug discovery is a complex and resource-intensive process, making early prediction of approval outcomes critical for optimizing research investments. While classical machine learning and deep learning methods have shown promise in drug approval pred... read more 

PAIRNet: Predicting PIWI cleavage specificity via position-aware RNA interaction modeling.

PLoS computational biology
PIWI proteins maintain genome integrity by piRNA-guided cleavage of complementary RNA targets. While Cleave-N'-Seq (CNS-seq) has advanced our understanding of PIWI targeting logic through quantitative mapping of cleavage rates and pairing rules, its ... read more 

Supporting the creative industries through the AI turn: A comparative analysis of Scottish policy and the needs of Scotland's creative practitioners.

PloS one
In the creative industries (one of the largest UK sectors, which operates at the juncture of business, technology and the arts) creative practitioners are not only consumers of Artificial Intelligence (AI), but also its developers, originators and in... read more 

Open-source framework for detecting bias and overfitting for large pathology images.

PloS one
Even foundational models trained on large-scale datasets may learn to rely on non-relevant artifacts such as background color or color intensity, leading to overfitting and/or bias. To ensure the robustness of deep learning applications, there is a n... read more 

Identifying Transdiagnostic Predictors of Depression Across Psychoses: Informing Stratified Antidepressant Treatments.

Psychotherapy and psychosomatics
INTRODUCTION: Depression frequently co-occurs with psychosis and is associated with poor outcomes. Early identification of patients at risk of persistent depression remains challenging, limiting opportunities for stratified treatment planning. This s... read more 

A hierarchical approach to the causality of shipyard accidents with integrated machine learning methods.

Work (Reading, Mass.)
BackgroundThe number of shipyard accidents should be reduced by examining the effects of the various demographic and workplace factors on the severity of the accident.ObjectiveThe study examines shipyard accidents and various occupational-behavioral-... read more 

Detection of Solid-Phase Explosives Using an Electroantennogram-Based Biohybrid Sensor with Active Sniffing.

Analytical chemistry
Effective detection of hazardous compounds such as explosives is a critical objective in the fields of security and environmental monitoring. However, these materials, especially in their solid phase, present considerable analytical challenges due to... read more