Artificial Intelligence Medical Compendium

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

Showing 51,681 to 51,690 of 225,182 articles

Deep Learning-Based Epileptic Seizure Detection from EEG Signals and PPG signals Using LSTM and CNN Models.

The International journal of neuroscience
Epilepsy is a chronic neurological disorder characterized by recurrent and unpredictable seizures that significantly affect patients' health and quality of life. Conventional diagnosis relies heavily on continuous electroencephalogram (EEG) monitorin... read more 

[Pay attention to blepharospasm and dry eye].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
Blepharospasm-related dry eye is a complex multifactorial comorbidity involving neural, ocular surface, and psychological factors, currently facing core challenges including unclear pathogenesis, ambiguous clinical assessment and diagnostic criteria,... read more 

Hierarchical multi-resolution deep encoder-decoder network for MRI Brain Tumor segmentation.

Biomedical physics & engineering express
So far, many multi-scale encoder-decoder image segmentation architectures have been introduced to utilize the information inherited in different resolutions. However, the way the segmentation problem is formulated and the approach used for using mult... read more 

The Robot Of Theseus: a modular robotic testbed for legged locomotion.

Bioinspiration & biomimetics
Robotic models of biological systems are useful for independently varying specific features to determine their contribution to whole-system behavior, but most quadrupedal robots differ so greatly from animal morphologies that they have minimal biomec... read more 

Infrared spectroscopy-assisted prediction of impurities in chemicals using machine learning: towards smart self-driving laboratories.

Physical chemistry chemical physics : PCCP
The changeable nature of chemicals requires constant monitoring. In a self-driving laboratory (SDL), manual revision of chemicals should be replaced by automated compliance checks. Infrared spectroscopy is an SDL compatible tool that can be integrate... read more 

Enhancing low-dose PET image recovery via edge perception and Mamba-guided network architecture.

Biomedical physics & engineering express
Positron emission tomography (PET) is a sensitive molecular imaging technique used extensively in cancer diagnosis, neurology, and cardiovascular disease. However, low-dose PET (LPET) imaging often results in decreased signal-to-noise ratio and loss ... read more 

Redefining Pathobiology with Spatial Multi-Omics at the Intersection of Biology, Computation, and Histopathological Assessment.

The American journal of pathology
Spatial profiling technologies are transforming our understanding of tissue organization by enabling high-resolution mapping of molecular features in situ. Spatial multi-omics platforms ranging from spot-based to single-cell and subcellular resolutio... read more 

Survey of Guidance for Authors on the Use of Generative Artificial Intelligence in Pharmaceutical Journals.

The Canadian journal of hospital pharmacy
BACKGROUND: Since November 2022, conversational tools powered by generative artificial intelligence (GAI) have become integrated into academic and professional practice within the health care field. OBJECTIVES: To identify and quantify the prevalence... read more 

Integrative transcriptomic and machine learning analysis identifies PYCARD and IFI30 as immune-lysosomal biomarkers of ANCA-associated glomerulonephritis.

Renal failure
OBJECTIVES: ANCA-associated glomerulonephritis (ANCA-GN) is an immune-mediated kidney disease leading to acute or chronic renal failure. This study investigates the role of mitophagy-related genes in ANCA-GN, as mitochondrial dysfunction is closely l... read more 

A Review on AI-Based Data-Driven Models for Optimization of Nanocarriers as Drug Delivery Systems.

ACS biomaterials science & engineering
Artificial intelligence (AI), primarily machine learning (ML), has revolutionized as a transformative strategy to accelerate nanomedicine research and optimization. The present review highlights the nanocarrier-integrated AI-based approaches to enhan... read more