Category: AI in healthcare
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Navigating the intersection of trust, AI, and healthcare
6 steps to building trust in healthcare AI while remaining true and accurate regarding expectations and limitations.
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AI is our ally in healthcare
Discover AI in healthcare, the potential & limitations of LLMs, and how Infermedica combines medical knowledge with AI for improved accuracy.
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ED overutilization: Changing patient habits with AI-powered solutions
Understand why patients are misusing EDs and find solutions to mold new behaviors in your customers.
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Infermedica expands company’s API capabilities to include AI-driven patient intake workflows
We are happy to introduce our new API for Intake, which improves patient care, reduces clinician burnout, and delivers intake data prior to care.
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Eliminate barriers to digital health tools adoption and reduce unnecessary ED visits
In this article we will identify barriers to digital solutions adoption in healthcare and try to propose ways of eliminating such barriers.
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Evaluation of the NLP engine for medical solutions
NLP identifies symptoms reported by patients on chats or call centers. See what metrics we use to ensure its highest quality.
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How to reconcile physicians and AI?
AI is a tool supporting doctors, however, it is often seen as a reason for mistrust. Are improved education, collaboration, and regulations a remedy?
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Why is asking Google about your health a bad idea?
I asked Google to diagnose my symptoms. That mistake cost me a lot of unnecessary stress. How to avoid the insecurity of online diagnosis?
