GE HealthCare unveils LesionID Pro and precision oncology suite to drive AI-led theranostics at SNMMI 2025

GE HealthCare launches LesionID Pro, Omni Legend, and MINItrace Magni at SNMMI 2025 to power AI-led theranostics and whole-body tumor imaging.

Why is GE HealthCare accelerating investment in AI-powered imaging and theranostics at SNMMI 2025?

GE HealthCare Technologies Inc. (NASDAQ: GEHC), a leading global innovator in medical technology and pharmaceutical diagnostics, has spotlighted a comprehensive suite of AI-powered theranostics tools at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2025 Annual Meeting in New Orleans. Headlining its showcase is the debut of LesionID™ Pro, a zero-click AI software platform for whole-body tumor burden analysis developed by its MIM Software unit. The American healthcare technology giant is also promoting its advanced hardware systems—including Omni Legend PET/CT, StarGuide digital SPECT/CT, and the MINItrace Magni cyclotron—to support real-time, data-driven, patient-specific decision-making in oncology.

This integrated product suite reflects GE HealthCare’s growing commitment to transform oncology care through precision diagnostics. As global cancer mortality surpasses 10 million deaths annually, according to the World Health Organization, the deployment of AI-enabled, theranostics-ready tools is emerging as a strategic priority for healthcare systems.

Institutional sentiment around GE HealthCare’s SNMMI portfolio launch has trended positively, with analysts noting that the vertical integration of cyclotrons, software, and imaging systems uniquely positions the firm to lead the AI diagnostics landscape. Industry observers also highlight that automation features like zero-click processing in LesionID Pro could significantly reduce time-to-diagnosis and improve care coordination for oncology teams.

How does LesionID Pro improve clinical workflows in tumor burden measurement through zero-click AI automation?

LesionID Pro introduces a 510(k)-pending AI workflow that eliminates the need for manual segmentation, image registration, and lesion filtering by automating tumor burden processing from PET and SPECT/CT scans. The system was developed by GE HealthCare’s MIM Software unit and incorporates upgraded algorithms capable of computing whole-body tumor volumes with minimal human input. According to the company, the software’s ability to remove normal physiologic uptake and harmonize multi-phase imaging studies helps accelerate turnaround times for radiologists while maintaining accuracy and consistency.

This automation is especially relevant in theranostics workflows, where understanding tumor burden is crucial for selecting, monitoring, and adjusting targeted radiopharmaceutical therapies. Experts like Dr. Shyam Srinivas, Associate Clinical Professor at the University of California, Irvine, emphasize that tools like LesionID Pro bring real-time, quantitative clarity to oncologists, supporting faster and more informed decisions.

Analysts believe that reducing radiologist pre-processing time can yield meaningful efficiency gains across diagnostic labs, particularly in high-volume cancer centers. Furthermore, institutional investors have noted that the rollout of AI-powered oncology software aligns with the broader healthcare industry’s push for automation and predictive analytics in diagnostics.

What is the strategic significance of PET/CT and SPECT/CT platforms like Omni Legend and StarGuide in GE HealthCare’s theranostics ecosystem?

GE HealthCare’s imaging portfolio featured prominently at SNMMI 2025 includes its flagship Omni Legend PET/CT system and the StarGuide SPECT/CT, both optimized for oncology imaging and therapeutic monitoring.

Omni Legend enables dose reduction of up to 40% without compromising image quality, based on internal phantom testing against Discovery MI Gen1. This dose efficiency is critical in serial imaging settings, where patients undergo repeated scans for therapy response assessment. The system’s rapid market adoption has made it the fastest-selling PET/CT platform in GE HealthCare’s portfolio since 2010.

StarGuide’s 12-detector CZT-based digital architecture delivers high-resolution, 3D images with shorter scan times, which are particularly valuable for oncology patients experiencing pain or fatigue. Its design also supports advanced dosimetry calculations, which are central to theranostic applications that rely on precise radiation dosing.

Industry experts note that these platforms’ hardware-software integration with tools like LesionID Pro enables end-to-end automation—from scan acquisition to report generation. Institutional perspectives also highlight the relevance of these systems for large hospital networks seeking scalable, AI-enhanced imaging infrastructure.

How does the MINItrace Magni cyclotron expand accessibility for in-house radiopharmaceutical production in precision care?

Also introduced at SNMMI 2025, the MINItrace Magni is GE HealthCare’s compact cyclotron designed to democratize local production of PET tracers and radiometals like Gallium-68. Roughly the size of a commercial refrigerator, this system offers hospitals and diagnostic centers an opportunity to bring isotope production in-house, reducing dependence on centralized radiopharmacies and streamlining theranostics workflows.

This is particularly relevant for emerging markets and regional hospitals aiming to expand access to personalized radiopharmaceutical therapies. By enabling on-demand isotope availability, MINItrace Magni could help healthcare systems lower operational bottlenecks and offer more flexible scheduling for theranostics patients.

Analysts view in-hospital cyclotron capability as a competitive differentiator in the evolving molecular imaging ecosystem. Its adoption could also align with broader value-based care goals by reducing delays and improving continuity of therapy.

What role does GE HealthCare’s theranostics pathway manager play in improving oncology care coordination?

In addition to hardware and imaging advances, GE HealthCare is leveraging its Command Center digital platform to offer the Theranostics Pathway Manager—an application designed to simplify the complexity of managing oncology treatment timelines. This tool consolidates data from labs, scheduling systems, and patient records to provide a real-time dashboard view of patient readiness for radiopharmaceutical therapy.

Oregon Health & Science University is an early adopter of the tool. According to faculty member Dr. Erik Mittra, the pathway manager improves clinical efficiency by reducing time spent manually tracking patients across fragmented systems. This allows providers to redirect more time toward patient-facing care activities and ensure no delays in the therapeutic pipeline.

Institutional feedback suggests that streamlined workflow coordination tools like these are increasingly seen as essential in multidisciplinary cancer care, where patient outcomes depend on the alignment of diagnostics, therapy, and follow-up schedules.

What is the market outlook for GE HealthCare’s AI-powered oncology and theranostics solutions in 2025 and beyond?

GE HealthCare’s comprehensive strategy across theranostics is designed to serve every phase of the patient journey—from imaging to isotope production to therapy monitoring. The company’s $19.7 billion revenue base and 53,000-strong global workforce give it scale advantages in deploying integrated AI, hardware, and pharmaceutical diagnostics solutions.

As adoption of theranostics expands globally, analysts expect GE HealthCare to remain well-positioned as a key enabler of this care model. The growing clinical interest in precision radiotherapy, supported by real-time tumor burden quantification and in-house tracer production, is likely to drive further demand for the company’s offerings.

While LesionID Pro remains pending FDA 510(k) clearance and is not yet CE marked or available in major markets, institutional sentiment suggests that once approved, it could become a standard tool for AI-assisted oncology imaging. Likewise, the MINItrace Magni, though currently in development, is seen as an important step toward decentralizing isotope logistics and making theranostics more accessible.

Looking ahead, investors will be watching for regulatory approvals, clinical partnerships, and adoption rates of these technologies as indicators of future earnings growth. Analysts also highlight the synergy between GE HealthCare’s software and hardware lines as a potential source of operating leverage and competitive moat in the precision imaging space.


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