Health system and hospital executives see the promise of automation and artificial intelligence to customize patient outreach ...

What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Clear and trustworthy information is essential for people who are ill. People with cancer, in particular, are targeted with vast quantities of patient education material, but of variable quality.

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades. Now, researchers at the Johns Hopkins Kimmel ...

Virtual patient communication and documentation have been lauded as some of the immediate potential applications of generative AI large language models in healthcare. A study published in JAMA ...

Machine learning models have potential for early identification of patients with metabolic dysfunction-associated steatotic liver disease (MASLD) who are at risk of hepatocellular carcinoma. Machine ...

A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a ...