Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...
As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...
IDC predicts spending on AI systems will reach $97.9B in 2023, more than two and one-half times the $37.5B that will be spent in 2019. Senior management teams at enterprises who are Gartner clients ...
Discover how the global Machine Learning as a Service (MLaaS) market, valued at USD 4.12 billion in 2022, is projected to ...
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 ...
News Medical on MSN
Machine learning models can predict urgent care eeds for patients with non–small cell lung cancer
A new study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation The Financial Action Task Force’s gray list publicly identifies countries with strategic deficiencies in their AML/CFT ...
OJAI, CALIFORNIA / ACCESS Newswire / September 9, 2025 / Elixir today announced significant progress in its patent ...
AI in K-12 Education Market growing rapidly, driven by AI solutions, cloud deployment, machine learning, and virtual learning platforms.Austin, Sept. 04, 2025 (GLOBE NEWSWIRE) -- The AI in K-12 ...
Machine learning is the process by which computer programs grow from experience. This isn’t science fiction, where robots advance until they take over the world. When we talk about machine learning, ...
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