Artificial Intelligence Medical Compendium

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

Showing 17,671 to 17,680 of 214,033 articles

Multi-year monitoring and modeling of benthic environmental improvement by oyster shell capping on coastal sediments.

Marine pollution bulletin
This study evaluated the multi-year efficacy of oyster shell (OS) capping for reducing benthic phosphorus release and improving coastal ecosystems by integrating laboratory experiments, field monitoring, and hybrid biogeochemical modeling. Using ambi... read more 

Use of Artificial Intelligence in prostate MRI: A rapid scoping review highlighting limited evidence in screening context.

European journal of radiology
BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) is seen as a potential solution to alleviate workforce demands arising from growing use of magnetic resonance imaging (MRI) in prostate cancer (PCa) screening. We aimed to synthesize the evidence... read more 

Aberration-aware 3D localization microscopy via self-supervised neural-physics learning.

Nature communications
Single-molecule localization microscopy (SMLM) enables volumetric nanoscopy by retrieving 3D molecular positions from engineered 2D fluorescence patterns. However, achieving nanoscale resolution over large axial ranges in complex samples remains chal... read more 

De novo design of peptides localizing at the interface of biomolecular condensates.

Nature communications
The interface of biomolecular condensates plays a key role in processes such as protein aggregation and biochemical reactions, making it an attractive target for engineering condensates. However, the molecular grammar that drives preferential localiz... read more 

An enhanced ensemble deep learning model integrating three strategies for runoff modeling in the Qinghai Lake Basin.

Scientific reports
Accurate runoff forecasting is crucial for water resource management in the cold-arid Qinghai Lake Basin (northeastern Tibetan Plateau), yet complex snowmelt dynamics and spatiotemporal heterogeneity limit traditional models. This study develop a nov... read more 

Synthetic materials trained tactile sensing enables quantitative perception of Young's modulus and Poisson's ratio.

Nature communications
Accurately perceiving object softness remains challenging for tactile sensors, as current approaches estimate Young's modulus from object deformation in response to an applied pressure while overlooking the pivotal role of Poisson's ratio in shaping ... read more 

Adaptive fuzzy deep learning with multimodal sensor fusion for enhanced plant disease detection.

Scientific reports
Timely and accurate plant disease detection is important for enhancing agricultural productivity and promoting sustainability. The study introduces Multimodal Adaptive Fuzzy-based Deep Neural Network (MAF-DNN) for classification of plant diseases. Th... read more 

A hyperspectral imaging framework integrating band selection and deep learning for beverage stain classification in forensic analysis.

Scientific reports
The technique of Hyperspectral Imaging (HSI) is significant in the field of non-destructive forensic crime scene investigation, as it allows for the identification of minor spectral changes over a broad range of wavelengths. In the present study, the... read more 

Enhancing spectral analysis of ghee adulteration via a deep learning-based multimodal attention mechanism.

Scientific reports
Expensive dairy products like ghee are at high risk of hazardous adulteration with cheaper fats, and traditional testing approaches such as FTIR device and conventional machine learning are too slow, complex, and lack the interpretability to be usefu... read more 

Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition.

Scientific reports
Motor imagery (MI)-based brain-computer interfaces (BCIs) enable users to control external devices using EEG signals, offering great potential in assistive and rehabilitation technologies. However, MI recognition remains challenging due to EEG's low ... read more