AI Review: Advancing Market and Key Trends for 2025

Ferrum Health Raises $16M in Series A Funding to Unlock AI Adoption in Healthcare

AI Review: Advancing Market and Key Trends for 2025

RSNA 2024 highlighted emerging trends for healthcare AI in 2025, showcasing a shift in consumer behavior. Health systems arrived with specific AI goals, seeking tools to improve patient access, increase productivity and efficiencies, and alleviate staff burdens. For Ferrum, it was the ideal stage to showcase new partnerships and innovations while gaining insights into the evolving AI landscape and clinician expectations. Here's what we predict will be hot trends in 2025:

Innovative Entrants Revolutionizing Comprehensive Stroke Detection and Management; Challenging Legacy Leaders

Clinicians continued highlighting stroke detection, response, and seamless care coordination as one of their top requested use cases. Stakeholders noted the need for comprehensive end-to-end care solutions, including a care navigation mobile application. Brainomix's Brain360 suite, with a strong market presence across Europe, is the most recent FDA-cleared suite. Their combination of NCCT, CTA, and CTP models, paired with a clinician-friendly mobile application, is currently the only end-to-end comprehensive stroke management suite on the market today.

Accelerating Trailblazers in the Evolution of Pathological Imaging

Continuing a theme from previous years, radiologists capacity continues to be in short supply. Increasing costs to retain top talent and generalists frequently asked to read specialty imaging continue to plague organizations. ProstatID and Remedy Logic have introduced advanced imaging AI algorithms that significantly improve the detection and analysis of prostate cancer and spinal abnormalities, respectively. These tools enhance accuracy, streamline workflows, and allow non-specialist readers greater accuracy and comfort with their interpretations. All ultimately contributing to better patient outcomes.

Enhancing Efficiency for Radiology Technicians

Access to Care (Becker’s Hospital Review’s C-suite buzzword for 2025) was repeated often during conversations on the show floor. With facilities expansion projects requiring years-long lead times, administrators are looking for quick wins to help improve throughput and take the burden off of staff. Koios and SeeMode are crucial in supporting radiology technicians with tools designed for automated characterization of thyroid and breast ultrasound imaging. Moving from paper-based workflows to automated simple-click reports allows technicians to get results to radiologists quicker and spend more time focused on the patient in the room.

Automating and Advancing Follow-Up Care Processes

While the financial positions of health systems and large radiology practices have improved post-pandemic, there is continued competition over a finite set of patients in many markets. For high-value specialties like oncology and cardiology, patient retention looms large in the minds of administrators. Health systems understand they need to take the next step and be responsible for follow-up and coordination of patient care. How to do so without requiring armies of navigation specialists remains an open question. Solutions like Inflo Health and Thynk Health provide automated patient management workflows, directing patients to existing scheduling portals and integrating with hospital existing tech stacks to ensure no details are missed and no patients are lost. The result means more dollars in through better managed follow-up care and better overall clinical outcomes.

Third Party Support in Clinically Validating AI Solutions on Local Patient Populations

RSNA focused heavily on the reliability of AI tool validation. With the proliferation of AI tools, many for the same clinical indication, hospitals ask, " Is this tool helping?" and, "Which tool helps our hospital the most?" Expect 2025 to welcome the first robust AI Governance Committees, with a keen focus on algorithm performance and bias POST DEPLOYMENT. Ferrum Health's automated validation suite supports AI governance committees by providing robust tools for monitoring and validating AI applications, ensuring they meet specific, unique clinical needs and regulatory standards.

For more information, please contact:

Austin Deer, Head of Strategic Partnerships, Ferrum Health (austindeer@ferrumhealth.com)