Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Meanwhile, in clinical decision support systems, AI has been used to analyze electronic health records to predict outcomes ...

Insulin resistance severity measured via eGDR enhanced the predictive value of clinical models for cardiovascular disease risk in CKM syndrome.

Deep learning model outperformed clinical tools, cutting false positives and enhancing accuracy in CT lung cancer screening studies.

Objectives C reactive protein (CRP) is frequently normal in psoriatic arthritis (PsA) despite active disease, complicating ...

Munich news, health insurance, technology, jobs and other topics for expatriates. The Eye Newspapers covers daily news and offers services for foreigners.

Researchers evaluated whether a deep learning model could distinguish between autoimmune neuroinflammatory disorders based on retinal thickness.

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...

The new Google Home app looks fancy, but it's still pretty barebones for me. It needs some crucial features to win me back ...

Methods for Testing Power Battery Health Single Cell Voltage Consistency Testing The power battery pack consists of multiple ...

Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal disease (ESRD), according ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...