Browse AI in the Healthcare and its future: Preview of Investing in Digital Health 2025
The rise of artificial intelligence and the increasing diversity of AI applications in healthcare have created excitement. But this should also pause us to the potential consequences of widespread adoption. Medcity Invest Digital Health will explore the topic through a series of discussions at Digital Health on September 18 in Pegasus Park, Dallas, a series of discussions in our annual Pitch Perfect competition, during which startups push their companies to a group of investor judges.
Here are five panel discussions and fireside chats. If you have expertise, compelling stories, or you are pursuing new AI applications in digital health, we hope to hear from you! Also, if you are a company that aligns with these and related AI topics and you want to be an investment digital health sponsor, email our publisher Ken Montgomery: [email protected].
Register today
How do AI startups stand out in a crowded market?
With a large number of medical AI startups competing for investor interest and capital, discernment strategies are more important than ever. At this session, digital health investors will explore what separates true AI competitors from hype-driven hopes. These venture capitalists will discuss the real-world use cases they are attracted to, a powerful go-to-market strategy and how AI startups prepare for regulatory barriers.
The dawn of AI labor: The next frontier of productivity in healthcare
From environmental copying to automatic coding to patient outreach, “AI labor” is becoming a powerful new layer of operational efficiency in healthcare. But what does it mean to deploy AI as a digital worker? How far can it go? Hear experts explain how health systems, payers and startups use AI to perform tasks once humans complete, as well as the ripple effects of cost, staffing and care quality.
First, don’t hurt: build guardrails for the person in charge
Healthcare organizations are adopting AI models more than ever, but questions about bias, patient safety, privacy and transparency remain. How do health systems, payers and startups innovate responsibly, especially when AI is growing rapidly and regulations are still catching up? Healthcare leaders will explain how they develop internal governance
Framework reviews and monitors AI tools to develop compliance and build trust with patients and clinicians.
Using AI to change patient experience while maintaining human touch
Providers and payers are increasingly leveraging AI tools to improve the way patients and members interact with the healthcare system. These tools can accomplish things like personalized care journeys, deliver faster services, enhance communication and improve satisfaction. At this session, industry experts will discuss where AI has the greatest impact and what it takes to deploy accurate and compassionate models.
Beyond the buzzword: Evaluating the efficacy and ROI of AI tools
Providers and payers are continuing to experiment with AI, and many people are even starting to scale their deployments. However, the healthcare industry is still in its early stages of generating evidence, showing that these tools actually deliver on their promises to increase efficiency and reduce costs. The team members will unravel what is needed to prove the value of AI tools, and
Explore the growing demand for third-party verification and peer review evidence.
Fireside Chat: AI and Health Equity – Is the technology-enclosed care gap or has it widened?
AI tools are expected to make healthcare more personalized, proactive and easy to use – but do these tools bring the same results for everyone? As more providers and payers adopt AI models such as clinical decision-making, risk prediction and patient engagement, there is concern about whether AI can enhance existing differences rather than reduce them.
At the heart of Invest Digital Health is the perfect competition for healthcare startups of the year. Here is what we are looking for:
- Startups that offer AI-driven solutions to improve provider operations –
Including but not limited to: - Clinical decision support and diagnostic tools
- Automatic clinical document or environmental copying
- AI-driven scheduling and resource management
- Patient participation and communication platform
To apply, click here.
picture: Mr. Cole_photographer, Getty Images
