Artificial Intelligence Medical Compendium

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

Showing 18,341 to 18,350 of 214,278 articles

Analysis of choroidal OCT intensity and profile changes in high myopia: correlation with visual impairment and identification of pathological myopia.

The British journal of ophthalmology
AIMS: To investigate the changes in choroidal optical coherence tomography (OCT) radiomic features, their correlations with visual acuity and utility in identifying pathological myopia (PM). METHODS: A total of 288 myopic participants aged 18-50 year... read more 

Understanding Cell Wall Enzyme Function: From Classical Approaches to New Biotechnology.

Journal of experimental botany
Plant cell walls are complex networks of polysaccharides that underpin plant structure and provide dietary fibers that promote human health. These polymers are assembled and remodeled by carbohydrate-active enzymes (CAZymes), which have been more cha... read more 

A probabilistic framework for risk-bounded patient-specific quality assurance in volumetric modulated arc therapy based on measured and calculated gamma pass rates.

Zeitschrift fur medizinische Physik
This study introduces a probabilistic framework for patient-specific quality assurance (PSQA) in volumetric modulated arc therapy (VMAT), using gamma pass rates obtained from both measurement-based and independent calculation-based PSQA. The model qu... read more 

Few-Shot Prediction of Toxicity of Ionic Liquids Supported by Attentive Model-Agnostic Meta-Learning.

Chemical research in toxicology
Prediction of chemical compounds' toxicity enables efficient and rapid screening at the cost of utilizing experimental data as a foundation for artificial intelligence (AI) models. Given the constraints of limited data availability, few-shot learning... read more 

Cuffless hemodynamic monitoring with physics-informed machine learning models.

Nature communications
Wearable technologies have the potential to transform ambulatory and at-home hemodynamic monitoring by providing continuous assessments of cardiovascular health metrics and guiding clinical management. However, existing cuffless wearable devices for ... read more 

Large-scale data-driven pre-trained DNA models enhance performance across diverse genomics tasks.

Nature communications
Sequence-based deep learning has advanced genome interpretation, yet most models remain task-specific and rely on retraining, limiting scalability across biological contexts. Here we present SUCCEED, a supervised multi-task DNA foundation model pretr... read more 

Integrated machine learning-bayesian receptor modelling framework for uncertainty-aware source apportionment in a non-stationary fluoride-contaminated coastal aquifer.

Scientific reports
Fluoride contamination in coastal aquifers is difficult to evaluate because its mobilisation is controlled by overlapping and seasonally dynamic non-stationary hydrogeochemical processes influenced by seawater intrusion, lithological heterogeneity, r... read more 

Computationally intelligent calibration framework for durable soft strain sensors.

Nature communications
The ever-growing demand of soft strain sensors in ubiquitous electronics poses urgent need of device durability innovations to reduce resource waste. As most soft sensors use non-degradable materials, it is important to ensure durable sensor performa... read more 

Exploration of soil microbial community: a comparative study between organic and conventional systems in perennial and annual crops.

Scientific reports
​Soil microbiota is central to agroecosystem sustainability, influencing fertility, plant health, and resilience. Agricultural practices shape these communities in distinct ways: conventional systems, with intensive chemical inputs, often promote mic... read more 

Generation of spinal cord organoids from human induced pluripotent stem cells caudalised to a lumbar fate.

Scientific reports
Organoids offer a powerful platform to model human development and disease in vitro, while preserving key features of in vivo tissue architecture and complexity. In this study, we developed a protocol to generate human induced pluripotent stem cell (... read more