Artificial Intelligence Medical Compendium

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

Showing 40,241 to 40,250 of 223,737 articles

Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study.

PLOS digital health
Artificial intelligence (AI) has transformative potential in public health, but its impact is limited by models that implicitly prioritize a single stakeholder perspective and do not make explicit and tunable trade-offs between community and clinicia... read more 

Acceptance of AI-based tools in consumer financial decision-making: An application of the extended technology acceptance model.

PloS one
The development of artificial intelligence has led to an increase in scientific papers on its applications in financial services. Some of them focus on consumers, particularly presenting the aspects of automated servicing through robo-advisory system... read more 

Coaxial Hydrogel Optical Fibre Skin for Interference-Free Multimodal Tactile Perception.

Advanced materials (Deerfield Beach, Fla.)
Flexible photonic fibers enable precise, interference-free multimodal tactile sensing in wearable interfaces, owing to their intrinsic immunity to electromagnetic interference and cross-modal coupling, together with rapid response. Until now, optical... read more 

Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models.

PloS one
Lung cancer (LC) is one of the most prevalent and deadly cancers globally, presenting a major public health challenge. Patients with chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) are at a significantly higher ri... read more 

Predicting oil contamination in water using machine learning on microbial compositions.

PloS one
We present a compact and generative machine-learning framework that predicts oil contamination based on microbial community compositions from experimental samples. Our method combines dimensionality reduction with data augmentation and generative mod... read more 

Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction.

PloS one
Accurate wind energy forecasting is critical for integrating wind power into electrical grids due to its inherent variability and uncertainty. This study introduces a systematic framework that integrates large-scale oceanic climate indices and time-l... read more 

Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability.

PloS one
Invasive species management demands predictive models that balance accuracy with ecological interpretability, yet traditional approaches often fail to capture complex environmental interactions. We evaluated hybrid frameworks integrating biological a... read more 

A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles.

PloS one
The emergence of Autonomous and Connected Autonomous Vehicles (CAVs) has transformed the automotive landscape drastically over the past few years by offering enhanced features in the vehicles for drivers' safety and convenience. These developments ha... read more