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§ Private Profile · Stockholm, Sweden
Cloud-based platform for radiologists to collaborate, consult on cases, and access AI tools for medical imaging.
Key people at Collective Minds Radiology.
Collective Minds Radiology is a Stockholm, Sweden-based healthcare IT company that provides a cloud-based platform for radiologists to collaborate, consult on complex patient cases, and access artificial intelligence tools for medical imaging. The organization operates a global network supporting over 8,000 radiologists and maintains a small team of 1 to 10 employees across its offices in Sweden, the United Kingdom, Denmark, and Spain. Operating on a subscription and service-based model, the platform facilitates clinical consultations, academic research, and data repository management for hospitals, research consortia, and European Union projects focused on cancer care. The company raised SEK 25 million, or approximately 2.5 million EUR, in an oversubscribed 2021 funding round backed by investors including Brightly Ventures, Crista Galli Ventures, and Antaros Invest. Collective Minds Radiology was founded in 2017 by Johan Norling, Anders Nordell, and Pär Kragsterman.
Key people at Collective Minds Radiology.
Collective Minds Radiology is a Swedish health-tech startup founded in 2017 that builds a cloud-based collaboration platform for healthcare, focusing on radiology and medical imaging.[1][2][3] The platform enables seamless access to data, human expertise, and digital resources—including full DICOM stacks, zero-footprint viewers, and pluggable AI algorithms—to accelerate patient diagnosis and treatment while supporting clinical consultation, research, education, and data repository building.[1][2][5][6] It serves healthcare institutions, consortiums, and professionals across Europe, with a team of about 60 colleagues from 25 countries headquartered in Stockholm (product engineering in Barcelona).[1][2][4]
The company addresses collaboration challenges in radiology by streamlining complex patient case sharing, multi-modal data processing, and privacy-protected workflows, driving faster diagnostics amid growing imaging data volumes.[1][2] Growth momentum includes $7.6M in total funding, with a recent SEK 84M (~$8M) round in 2023 led by Segulah Medical Acceleration and others, supporting platform expansion.[4]
Collective Minds Radiology was founded in 2017 in Stockholm, Sweden, by a team blending MedTech, IT, and radiology expertise.[1][2][3] Key co-founders include Anders Nordell (CEO), with 20 years in MedTech from Karolinska, Stanford, and GE Healthcare sales leadership; Pär Kragsterman (CTO), a 20-year IT architect formerly at PepsiCo; Johan Norling (CFO & Chairman); and Lennart Blomqvist (Professor of Radiology).[1][2]
The idea emerged from founders' experiences in fragmented healthcare collaboration, aiming to unite global radiology networks for quicker diagnoses.[1][3] Early traction built on developing a DICOM-compliant platform with hospital integration proxies, evolving into services for research (e.g., leading AI-POD project's data WP1) and clinical use, fueled by European partnerships.[2]
Collective Minds Radiology rides the AI-healthcare convergence wave, where radiology imaging data explodes (petabytes annually) but silos hinder analysis—its platform bridges this by federating data, experts, and AI for multi-modal processing.[2] Timing aligns with EU initiatives like AI-POD for secure big data tools and post-pandemic tele-radiology demand.[2]
Market forces favoring it include GDPR-compliant privacy tech amid regulations, labor shortages in radiology, and AI adoption (e.g., for triage).[1][2] It influences the ecosystem by powering research consortia, accelerating AI validation through human oversight, and enabling scalable European networks—positioning radiology as a high-impact AI frontier.[2][7]
With fresh SEK 84M funding, Collective Minds Radiology is poised to expand its platform globally, deepen AI integrations, and grow its expert community beyond Europe.[4] Trends like federated learning for privacy-preserving AI and multimodal diagnostics (imaging + genomics) will shape its path, potentially capturing share in a $50B+ radiology AI market.
Its influence may evolve from niche collaborator to infrastructure layer for health-tech ecosystems, amplifying faster diagnoses worldwide—echoing its founding mission to transform patient outcomes through unified expertise.[1]
