A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
The predictive capabilities of AI can be a powerful tool, but the goal of such algorithms is to maximize efficiency, which ...
Benchmarks reveal how artificial-intelligence systems reinforce discriminatory social hierarchies.
AI researcher Anmol Aggarwal explains how fairness-aware pricing algorithms can reduce hidden bias without major revenue loss ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...
The controversy began when MeitY flagged specific instances where Grok allegedly bypassed safety filters to produce ...
Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...
Microsoft has begun out new AI-powered incident prioritization capabilities in Microsoft Defender alongside an expanded suite ...
Striking the right balance requires knowing when to act fast and when to safeguard people and systems, an AI business consulting founder writes.
Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.
Sri Lanka’s digital economy is advancing faster than the trust architecture required to sustain it, creating a growing risk ...
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