Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI images, independent of sequence. In the study, the model ...

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

Development of Prediction Model for Brain Amyloid-Beta Accumulation for Early Screening of Alzheimer's Disease MACHINE LEARNING MODEL USING ...

In contrast to Asimov's robots, “AI” is not a robotic uprising but rather an energy revolution—this energy revolution must ...

This recognition highlights IGC's innovative application of artificial intelligence (AI) and machine learning ... prediction methods for Alzheimer's disease and related dementias (AD/ADRD) using ...

In this special issue in ACS Medicinal Chemistry Letters, you will find a collection of 14 publications which highlight significant successes made with artificial intelligence/machine learning (AI/ML) ...

In paediatrics, workforce challenges ... support early in the disease. ML models can help predict which infants with bronchiolitis are likely to require intensive care support or positive pressure ...

The impact of applying these risk scores in clinical practice is almost completely unknown, but their use is recommended ... the outcome of the prediction model was CVD or a cardiovascular component ...

1 The Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA 2 The Heart Institute, Sheba Medical Center, Tel Hashomer, Israel Become familiar with current criteria for defining ...

Objectives Hypocomplementaemia is common in patients with IgG4-related disease (IgG4-RD). We aimed to determine ... of 279 patients who fulfilled the IgG4-RD classification criteria, using unadjusted ...

and API to predict IA occlusion using pre- and post-intervention DSAs. Methods We analyzed DSA images of IAs pre- and post-treatment to extract API parameters in the IA dome and the corresponding main ...