Transforming Healthcare with AI-Driven Medical Documentation *new start time* Artificial intelligence is becoming increasingly prevalent in healthcare. From diagnostic support to personalised treatment plans, AI is poised to significantly impact healthcare delivery. However, with these advancements come unique challenges, such as data security, bias, and system integration. According to recent studies, the global AI in healthcare market is expected to reach $45.2 billion by 2026, growing at a compound annual growth rate (CAGR) of 44.9% from 2020. This growth is driven by the rising need for accurate and efficient medical documentation, among other applications. Join us for our LinkedIn Live ⚡ 📅Tuesday 18th June, 9.30am PDT / 12.30pm ET 💻 Panel discussion with experts in the AI HealthTech space #healthtechevents #aihealthtech
Transforming Healthcare with AI-Driven Medical Documentation
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Given how quickly OpenAI is iterating on their game-changing models, how does this impact how you create your AI strategy and roadmap?
And who takes the liability -the company or provider?
Hello from London - looking forward to some interesting insights
Q - for hiring tech/product talent, is specific healthcare exp required or would experience with other highly regulated, data-sensitive industries like fintech meet that need?
Do you have to make adjustments to your solutions when changing between medical healthcare, mental healtcare, rehab etc.?
Is there still a place for universal API vendors like Redox or 1UpHealth in reducing the integration friction?
What would you say are the biggest barriers to innovation for AI in healthcare right now? Funding? Security? Regulation?
Can each/any of you share what are the FDA guidelines for AI driven diagnosis.
Connecting from ATHTech in Athens, GA!!!!