Workshops Healthcare QML Clinical Evaluation

Healthcare Half Day Workshop

Evaluating Quantum Machine Learning for Clinical Applications

This workshop helps healthcare professionals assess quantum machine learning’s real-world potential for clinical imaging and diagnostics.

Half day (4 hours)

In person or online

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Workshop Description

Quantum machine learning for medical imaging is not yet clinically deployable at scale. A systematic review published in April 2025 (arXiv 2504.13910) found that hybrid quantum-classical models outperform purely classical baselines only in low-dimensional and domain-specific diagnostic tasks: carefully selected benchmark datasets, not the high-volume, high-complexity imaging workloads that NHS radiology departments actually process. Only 16 of 72 published QML healthcare studies considered realistic operating conditions with actual quantum hardware or noisy simulations. The gap between research publication and clinical use is wider for QML than for any other AI modality because hardware noise, limited qubit coherence, and unresolved data encoding challenges compound the normal clinical validation burden.

That is not an argument against engaging with QML. It is an argument for clinical informatics teams developing the technical literacy to distinguish genuine early-stage capability from premature commercial positioning. The vendor market for QML in healthcare is active, with companies claiming quantum advantage in MRI feature extraction, CT scan classification, and histopathology analysis. Some of those claims will be sound; most will not be reproducible at clinical scale. This workshop builds the evaluation framework: how to read a QML benchmark paper, what validation evidence is required before a procurement decision, how to apply NICE evidence standards to quantum AI submissions, and how to interpret hardware roadmap claims from quantum computing vendors in terms of specific clinical use case timelines.

What participants cover

Current state of QML in clinical imaging: what 72 peer-reviewed studies show versus what vendors claim
Hybrid quantum-classical architectures: where classical pre-processing ends and quantum circuits begin
Hardware noise and coherence time: the technical constraints that limit current clinical QML viability
Clinical validation frameworks: applying NICE evidence standards and MHRA/FDA SaMD pathways to quantum AI submissions
The 8 questions every clinical technology assessment team should ask a QML vendor before procurement
Hardware roadmaps for medical AI: evidence-based timeline for when specific imaging use cases may become viable

Preliminary Agenda

Half-day session structure with a scheduled break. Content is configurable to your team's technical level and clinical imaging portfolio.

#	Session	Topics
1	QML in Healthcare The evidence base, the honest assessment, and the hype detection toolkit
2	Technical Deep Dive Variational circuits, quantum kernels, and why benchmarks mislead	Variational quantum eigensolver circuits for classification Quantum kernel methods and feature mapping Benchmark dataset limitations versus real clinical data volumes
Break, after 35 min
3	Regulatory Considerations SaMD pathways and NICE evidence standards for quantum processing	MHRA Software as a Medical Device classification FDA AI/ML-based SaMD regulatory framework NICE evidence standards application to quantum AI submissions
4	Vendor Assessment Exercise Evaluating real QML vendor pitches with clinical rigour	The 8 critical questions for QML vendor evaluation Benchmark reproducibility analysis Commercial versus academic claim assessment
5	Hardware Roadmap When do medical imaging QML use cases become viable, and what must change	Qubit count and coherence time requirements for clinical tasks Error correction timeline and impact on medical QML Evidence-based timeline for specific imaging modalities
6	Q&A and Strategic Positioning

Designed and Delivered By

Workshops are designed and delivered by QSECDEF in collaboration with sector specialists. All facilitators have direct experience in both quantum technologies and healthcare systems.

QSECDEF brings world-leading expertise in post-quantum cryptography, quantum computing strategy, and defence-grade security assessment. Our advisory membership spans 600+ organisations and 1,200+ professionals working at the intersection of quantum technologies and critical infrastructure security.

Healthcare-specific workshops are co-delivered with sector specialists who bring direct operational experience in NHS trusts, private hospital groups, pharmaceutical R&D, and medical device manufacturing. This ensures workshop content is grounded in regulatory, clinical, and operational realities.

Commission This Workshop

Sessions are configured around your clinical imaging portfolio, technology assessment processes, and procurement requirements. Get in touch to discuss requirements and schedule a date.

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