Researchers from the University of Oxford have benchmarked artificial intelligence (AI) tools capable of automatically ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Version 1 of the SPARK platform was released to pilot users, who represented diverse end users, including molecular biologists, clinicians, and bioinformaticians. Included in the pilot release of ...

PhD, MBA, CTO at John Snow Labs. Making AI & NLP solve real-world problems in healthcare, life science and related fields. Artificial intelligence (AI) and machine learning applications are widely ...

A recent Npj Digital Medicine study evaluated the effectiveness of COMPOSER, a deep learning model for early sepsis prediction. It assessed the impact of this model on the quality of patient care and ...

A patient acuity model drove efficient and safe staffing through data from a natural language processing model informed by ...

In a recent study published in the journal Informatics, researchers investigated the use of advanced machine learning methods to recognize facial expressions as indicators of health deterioration in ...

Meeting patients’ needs—inside and outside the clinic walls—is essential to help ensure patients with cancer achieve optimal outcomes. Socioeconomic and environmental insecurities make it more ...