Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

The review documents a sharp increase in healthcare XAI research since 2018, reflecting the surge of machine learning adoption in diagnostics, clinical support, and digital health platforms. Thematic ...

Patients undergoing stem cell transplants for blood cancers who develop oral mucositis are at nearly four times the risk of ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported ...

The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also ...

This course explores the field of Explainable AI (XAI), focusing on techniques to make complex machine learning models more transparent and interpretable. Students will learn about the need for XAI, ...

Breast and Gynecologic Cancer Care for Sexual Minority Women and Transgender People The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly ...

In an era where AI adoption frequently outpaces regulatory readiness, Archana Pattabhi, Senior Vice President at a leading global bank, led a forward-looking transformation that redefined how ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...