Healthcare + AI: If AI Can Beat Doctors at Diagnosis What’s Next?, NVIDIA Partners with Healthcare Leaders, the Regulatory Gap in AI

At Healthcare + AI, we explore the latest trends and insights in healthcare and AI. Everything you need. Nothing you don’t.

Today’s features:

• If AI Can Beat Doctors at Diagnosis, What’s Next?

• NVIDIA Partners with Industry Leaders to Transform Healthcare

• AI vs. Human Intuition: Striking the Right Balance

• The Regulatory Gap in AI

• But What About All The Data?

If AI Can Beat Doctors at Diagnosis, What’s Next?

A study published in late 2024 in the journal JAMA Network Open was expected to confirm that chatbots like ChatGPT could use artificial intelligence to help doctors diagnose illnesses. But that’s not what happened. In fact, doctors who were given ChatGPT-4 along with conventional resources did only slightly better than doctors who did not have access to the bot.

ChatGPT alone outperformed the doctors.

• The chatbot, from OpenAI, scored an average of 90% when diagnosing a medical condition from a case report and explaining its reasoning.

• Doctors randomly assigned to use the chatbot got an average score of 76%.

• Those randomly assigned not to use it had an average score of 74%.

What it found: It unveiled doctors’ sometimes unwavering belief in a diagnosis they made, even when a chatbot potentially suggests a better one.

Why it matters: The integration of AI into healthcare could revolutionize patient care by providing rapid and accurate diagnoses. However, inconsistent performance across studies — and a lack of trust on the part of doctors — highlights the need for cautious implementation and continuous evaluation.

The big picture: While AI shows promise in supporting medical professionals, it is not yet a replacement for human expertise. Ensuring that AI tools are used to complement rather than supplant doctors is crucial for patient safety and care quality. Read More

NVIDIA Partners with Industry Leaders to Transform Healthcare

NVIDIA recently announced collaborations with IQVIA, Illumina, Mayo Clinic, and Arc Institute all designed to revolutionize the $10 trillion healthcare and life sciences sector.

These partnerships aim to accelerate drug discovery, enhance genomic research, and pioneer advanced healthcare services using agentic and generative AI. The solutions include AI agents that can speed clinical trials by reducing administrative burden, AI models that learn from biology instruments to advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations.

• IQVIA is using the NVIDIA AI Foundry service to build custom foundation models on its more than 64 petabytes of information, and developing agentic AI solutions to speed research, clinical development and access to new treatments.

• Illumina is using NVIDIA’s accelerated computing and AI toolsets for its multiomics analysis software and workflows, making the human genome more accessible to researchers, pharmaceutical companies and other life sciences customers.

• Mayo Clinic is massively accelerating the development of next-generation pathology foundation models using NVIDIA’s AI tools.

Why it matters: The integration of AI and accelerated computing with biological data is poised to usher in a new era of medical and biological innovation, improving patient outcomes worldwide. By leveraging AI, these collaborations seek to detect diseases earlier and discover new treatments faster.

What they're saying: “AI offers an exceptional opportunity to advance healthcare and life sciences with tools that help providers detect diseases earlier and discover new treatments faster. The combination of NVIDIA’s AI and accelerated computing capabilities with the expertise of industry leaders is poised to usher in a new era of medical and biological innovation and improve patient outcomes worldwide.” - Kimberly Powell, vice president of healthcare at NVIDIA

The big picture: Collectively, these efforts aim to address the $3 trillion dedicated to supporting industry growth and create an AI factory opportunity worth hundreds of billions of dollars. Read More

AI vs. Human Intuition: Striking the Right Balance

AI is revolutionizing healthcare, but blending it with human intuition remains a puzzle. Striking the right balance between AI and human expertise is crucial for the industry's future.

By the Numbers:

- 60% of healthcare providers are integrating AI in some form.

- 75% of startups view AI as a key growth lever.

- 40% of patients express concern about AI diagnosing diseases.

Why It Matters: As AI becomes more prevalent in healthcare, understanding how to integrate it effectively while maintaining human touch is vital.

What's Next: Expect more dialogue on ethical AI use in healthcare as stakeholders continue pushing for frameworks to guide AI-human collaboration. Further, keep an eye on how startups leverage AI to disrupt traditional healthcare models. Read More

The Regulatory Gap in AI

Healthcare AI is revolutionizing the healthcare sector, but there's a hitch: regulation isn't keeping pace. While innovation is fast-tracking new solutions, the rules governing these systems lag behind, creating a regulatory gap.

- AI in healthcare market projected to reach $45 billion by 2026.

- Over 1,000 AI tools currently in development for medical use.

- Regulatory approvals still less than 5%.

What They’re Saying: “With generative AI, we have 1 1/2 years’ experience,” he said, and even many experts don’t know how those AI programs work. “The power and ability of this technology far exceeds not just our regulatory framework but our experience and understanding of it.” - Gary Weissman, MD, MSHP, Assistant Professor, Pulmonary and Critical Care Medicine, University of Pennsylvania Perelman School of Medicine

Why It Matters: Without appropriate regulation, AI systems could pose risks to patient safety and data privacy, hindering their potential benefits.

What's Next: Policymakers are urged to develop adaptive regulations that can grow alongside technology. The focus is on crafting frameworks that ensure safety without stifling innovation. Read More

Healthcare's Tech Revolution: Data Storage Systems Must Undergo a Makeover

Healthcare is embracing AI-driven transformations, from virtual care to smart diagnostics. But beneath the surface, backup and storage systems are getting a crucial upgrade to support these innovations. The industry is pivoting to accommodate massive data demands, offering a glimpse into the future of medical tech.

- 15%: Estimated annual growth rate of healthcare data over the next decade.

- 30%: Projected reduction in data storage costs with new systems.

- 50%: Increase in data processing speeds achievable with AI integration.

What They're Saying: "The shift to smarter storage solutions is not optional; it's a necessity to keep up with AI-driven healthcare," says Dr. Amanda Singh, chief technology officer at HealthTech Innovations.

Why It Matters: Efficient storage systems are vital for the seamless operation of AI applications in healthcare, ensuring real-time data analysis and decision-making.

What's Next: Expect more healthcare providers to invest in advanced storage solutions as AI continues to reshape the industry. The focus will be on scalability and security, with new partnerships between tech firms and healthcare providers on the horizon.