Health Tech & AI
AI Symptom Checkers: What the Studies Actually Show
Placeholder body. A plain-language look at the accuracy research behind consumer AI symptom checkers arrives in a later step.
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Health Tech & AI
Where healthcare meets technology: AI diagnostics, wearables, and digital health platforms.
Latest official announcements
Straight from the bodies that issue them, in their own words, with a link to the original.
arXiv: AI in Healthcare (preprints)
During transitions from hospital to home, older adults are frequently affected by fragmented communication, limited coordination between levels of care, and…
arXiv: AI in Healthcare (preprints)
Ambient artificial intelligence (AI) scribes have moved rapidly from experimental pilots to enterprise-wide deployment across health systems, promising reduced…
arXiv: AI in Healthcare (preprints)
Ambient artificial intelligence (AI) scribes have moved rapidly from experimental pilots to enterprise-wide deployment across health systems, promising reduced…
arXiv: AI in Healthcare (preprints)
In the healthcare sector, claim denials impose significant financial and administrative burdens, emphasizing the need for automated and trustworthy…
arXiv: AI in Healthcare (preprints)
Artificial Intelligence (AI) is increasingly embedded in high-risks decision-making systems across domains such as healthcare, finance, and the judicial…
arXiv: AI in Healthcare (preprints)
This paper focuses on algorithmic bias of machine learning and artificial intelligence applications in healthcare information systems. Based on the…
arXiv: AI in Healthcare (preprints)
Artificial intelligence (AI) has several transformative effects on healthcare, like to facilitate clinicians in disease detection and to manage patient care…
arXiv: AI in Healthcare (preprints)
Healthcare artificial intelligence is shifting from centralized archives toward distributed pipelines that combine wearables, edge processing, cloud analytics,…
arXiv: AI in Healthcare (preprints)
Big data analytics supports modern intelligent systems, but model complexity and limited transparency can undermine interpretability, trust, and security in…
arXiv: AI in Healthcare (preprints)
Privacy-preserving machine learning has become critical for deploying artificial intelligence in sensitive domains such as healthcare, finance, and…
arXiv: AI in Healthcare (preprints)
Nurse scheduling is a complex optimization problem in which nurses are assigned to shifts to meet staffing demands while complying with working-time limits,…
arXiv: AI in Healthcare (preprints)
Time series causal discovery --- the process of detecting causation between time series --- has its roots in signal processing research from over a half…
arXiv: AI in Healthcare (preprints)
In recent decades, artificial intelligence has made significant progress in understanding and interacting with images. One of the important applications of…