Artificial Intelligence Medical Compendium

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

Showing 70,641 to 70,650 of 234,208 articles

Long-Term Survival and Beneficiaries of Adjuvant Anti-PD-1 Therapy in Resected Hepatocellular Carcinoma.

Annals of surgical oncology
BACKGROUND: Early and late hepatocellular carcinoma (HCC) recurrences, which are driven by residual and de novo tumors, respectively, differ in biology and potential treatment susceptibility. The effectiveness of adjuvant PD-1 inhibitors (aPD-1) acro... read more 

In silico prediction of endocrine activity.

Trends in endocrinology and metabolism: TEM
Endocrine-disrupting chemicals (EDCs) pose health risks; yet, conventional in vitro and in vivo testing remains slow, costly, and animal-intensive. Enhanced use of in silico approaches can contribute to earlier and increased detection of potential ED... read more 

Machine learning-driven prediction model of adult body weight based on integrated bioelectrical impedance and infrared imaging.

Biosensors & bioelectronics
Traditional body weight measurement methods face challenges, particularly in critically ill patients, necessitating the development of non-invasive and accurate alternatives. We aimed to develop an artificial intelligence (AI) system for weight predi... read more 

Biased minds, sensitive hearts: Divergent neural signatures of interpersonal sensitivity in atypical and non-atypical depression.

Journal of affective disorders
BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensitivity as one of its core characteristics. However, the electrophysiological mechanisms that underlie interpersonal sensitivity in AD remain insufficien... read more 

Efficient speech command recognition leveraging spiking neural networks and progressive time-scaled curriculum distillation.

Neural networks : the official journal of the International Neural Network Society
The intrinsic dynamics and event-driven nature of spiking neural networks (SNNs) make them excel in processing temporal information by naturally utilizing embedded time sequences as time steps. Recent studies adopting this approach have demonstrated ... read more 

Machine learning identification of factors associated with exclusive breastfeeding in Brazilian infants: Cross-sectional analysis of the ENANI-2019 survey.

International journal of medical informatics
BACKGROUND: Exclusive breastfeeding (EBF) for the first six months is recommended by the World Health Organization, yet global rates remain suboptimal. In Brazil, EBF rates show significant regional disparities and socioeconomic gradients. This study... read more 

Free-breathing dynamic MRI reconstruction via joint time-dependent coil sensitivity estimation using implicit neural representation.

Medical image analysis
Dynamic magnetic resonance imaging (MRI) often encounters a trade-off between spatial and temporal resolutions due to slow data acquisition, particularly in free-breathing MRI scans where unpredictable motion complicates imaging. Accelerated dynamic ... read more 

Comparing the Effectiveness of a Robotic and Dynamic Navigation System in Fiber Post removal: An In Vitro Study.

Journal of endodontics
INTRODUCTION: This in vitro study evaluated the effectiveness of a robotic system (RS) and dynamic navigation system (DNS) compared with the freehand technique (FH) in fiber post removal. METHODS: Thirty-six 3D-printed teeth were fabricated from a hu... read more 

Engineering genetic elements for microbial protein expression systems: Advances, challenges, applications, and prospects.

Synthetic and systems biotechnology
The rising global demand for sustainable protein sources poses critical challenges across food, pharmaceutical, and industrial biotechnology sectors. Microbial expression systems provide scalable and versatile platforms for producing recombinant prot... read more