A recent modeling study has identified risk factors predictive of good and bad outcomes in non-diabetic CKD, such as gender, ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...

LG AI Research will collaborate with a Seoul National University (SNU) professor team to develop an artificial intelligence ...

The AI-driven predictive model is expected to interpret combined data from CT scans, clinical risk factors, and demographic ...

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases ...

LG AI Research, in partnership with Seoul National University, is developing a model to predict multistate protein structures ...

Trust in AI is a crucial determinant of its integration into clinical practice. The study measured clinician trust levels and found a strong correlation between trust and agreement with AI ...

Systemic lupus erythematosus (SLE) is a latent, insidious autoimmune disease, and with the development of gene sequencing in recent years, our study aims to develop a gene-based predictive model to ...

A new artificial intelligence model developed by Stanford Medicine combines clinical notes and pathology images to predict ...

The artificial intelligence model predicts patients’ heart disorders and risk of future heart failure using just an ...

A new predictive model developed by Ochsner Health helps clinicians make real-time decisions for patients who had a stroke ...