The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...

In-hospital outcomes of acute pulmonary embolism in patients with gastrointestinal cancer: A nationwide study. This is an ASCO Meeting Abstract from the 2024 ASCO Gastrointestinal Cancers Symposium.

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...

AI is not yet the success that it should be, so two dozen enterprises will disclose their move toward a crucial new paradigm – hybrid AI – at a 2026 conference.

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and facilitating data-driven decisions.