Artificial Intelligence Medical Compendium

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

Showing 2,071 to 2,080 of 166,336 articles

Neurogenetic biomarkers in epilepsy: A comprehensive narrative review of progression and therapeutic approaches.

Mutation research. Reviews in mutation research
Epilepsy is a multifaceted and heterogenous neurological disorder that affects an estimated 70 million people worldwide and is identified by recurrent or unprovoked seizure activity. Although there have been advances in pharmacotherapeutic treatments... read more 

Artificial Intelligence in Abdominal, Gynecological, Obstetric, Musculoskeletal, Vascular and Interventional Ultrasound.

Ultrasound in medicine & biology
Artificial Intelligence (AI) is a theoretical framework and systematic development of computational models designed to execute tasks that traditionally require human cognition. In medical imaging, AI is used for various modalities, such as computed t... read more 

Advancing sociotechnical systems theory: New principles for human-robot team design and development.

Applied ergonomics
This paper reviews and adapts sociotechnical systems (STS) principles for the design and development of Human-Robot Teams (HRTs). Through a collaborative review process, the authors identify existing STS principles relevant to HRTs, suggest modificat... read more 

Multi-omics analysis of plasma and CSF in spontaneous diabetic cynomolgus monkeys: Unravelling and validating the key molecular markers that predict the preclinical pathological formation of Alzheimer's disease.

Computers in biology and medicine
Alzheimer's disease (AD) biomarkers (Aβ42 or Tau 181) have high diagnostic performance. However, when they are altered, it indicates that irreversible pathology has developed in the brain. Therefore, there is a lack of early prediction or monitoring ... read more 

Interpretable bioinformatics approaches for pheochromocytoma bioactivity and protein interaction analysis.

Computers in biology and medicine
Pheochromocytoma (PCC) is a rare neuroendocrine tumor driven by complex molecular mechanisms, notably involving the oncogenic c-Myc/Max and c-Myc/c-Max protein complexes. Despite their pivotal role in tumor progression, the molecular interactions and... read more 

High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Computers in biology and medicine
Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival of patients. Early and accurate diagnosis is crucial for effective leukemia treatment. Traditional diagnostic methods rely on experts' subjective anal... read more 

[Tips and tricks for the cytological management of cysts].

Annales de pathologie
Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. The approach to cystic lesions on fine needle-aspiration is becoming a popular diagnostic tool due to the increased availability of high-quality cross... read more 

Evaluating the Efficacy of Various Deep Learning Architectures for Automated Preprocessing and Identification of Impacted Maxillary Canines in Panoramic Radiographs.

International dental journal
Previously, automated cropping and a reasonable classification accuracy for distinguishing impacted and non-impacted canines were demonstrated. This study evaluates multiple convolutional neural network (CNN) architectures for improving accuracy as a... read more 

Drug-like molecules targeting androgen receptor's allosteric binding sites selected by augmented AI and high-throughput screening as antitumor agents against prostate cancer.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Despite therapeutic advancements, metastatic and nonmetastatic castration-resistant prostate cancer (mCRPC and nmCRPC) remain incurable due to drug resistance, partly due to Androgen receptor (AR) gene abnormalities and splice variants. An Augmented ... read more