--- title: "Medical Imaging, Definition | MedTech Terms" description: "Devices that produce images of the body for diagnosis or guidance. Plain-English Market Segments definition for MedTech teams, with examples and related terms." lang: en json-ld: | { "@context": "https://schema.org", "@graph": [ { "@type": "DefinedTerm", "@id": "https://medtechterms.com/terms/medical-imaging#term", "name": "Medical Imaging", "description": "Medical imaging includes CT, MRI, X-ray, ultrasound, PET, SPECT, and emerging modalities (photon-counting CT, low-field MRI, photoacoustic imaging). 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This often involves extensive validation data and clinical performance studies." } }, { "@type": "Question", "name": "How does DICOM relate to medical imaging device regulation?", "acceptedAnswer": { "@type": "Answer", "text": "DICOM (Digital Imaging and Communications in Medicine) is a standard for handling, storing, printing, and transmitting medical imaging information. While not a direct regulation, adherence to DICOM is crucial for interoperability and data integrity, which are often implicitly required by regulatory bodies for safe and effective device use." } }, { "@type": "Question", "name": "Are all medical imaging devices subject to the same level of regulatory scrutiny?", "acceptedAnswer": { "@type": "Answer", "text": "No, regulatory scrutiny varies based on the device's classification and its intended use. Higher-risk devices, such as those that are life-supporting or offer critical diagnostic information, generally undergo more rigorous premarket review and postmarket surveillance." } } ] } ] } --- [ MedTech Terms The authoritative reference ](/) Browse Learn [Latest](/latest) About 1. [Home](/) 2. / 3. [Terms](/terms) 4. / 5. [Market Segments](/terms?cat=Market%20Segments) 6. / 7. Medical Imaging [All terms](/terms) Market Segments [Strategic Landscape](/ecosystems/strategic-landscape) # Medical Imaging Devices that produce images of the body for diagnosis or guidance. Reviewed by [Christian Espinosa, Founder, Blue Goat Cyber](/authors/christian-espinosa) Last reviewed May 5, 2026 ## Definition Medical imaging includes CT, MRI, X-ray, ultrasound, PET, SPECT, and emerging modalities (photon-counting CT, low-field MRI, photoacoustic imaging). AI-based image analysis is a major growth area. What the regulation says Medical imaging devices are subject to stringent regulations to ensure patient safety and data integrity. In the United States, the FDA classifies these devices based on risk, with Class II and Class III devices requiring premarket submission, such as 510(k) or [PMA](/terms/pma), as per 21 CFR Part 807 and 21 CFR Part 814 respectively. The EU [MDR](/terms/mdr-reporting), particularly Annex I, outlines [general safety and performance requirements](/terms/gspr) for medical devices, including imaging equipment. Cybersecurity considerations for medical imaging are addressed by guidance documents like the FDA’s "Content of Premarket Submissions for Management of Cybersecurity in Medical Devices," emphasizing robust security controls. ## What this means in practice GE HealthCare, Siemens Healthineers, Philips, and Canon dominate hardware. AI imaging companies (RapidAI, Viz.ai, Aidoc, HeartFlow) layer on top of OEM systems with separate reimbursement ( [NTAP](/terms/ntap), Category III [CPT](/terms/cpt-codes)). ## Examples - A manufacturer of a new CT scanner completes a 510(k) submission to the FDA, demonstrating substantial equivalence to a legally marketed predicate device. - A company developing AI software for automatic detection of lung nodules on X-rays ensures its software meets the performance requirements of EU MDR Annex I. - A hospital implementing a new MRI system conducts a cybersecurity risk assessment to ensure patient data remains protected in accordance with HIPAA regulations. Common pitfalls - • Overlooking the classification of software as a Medical Device (SaMD) when AI algorithms are used for image analysis. - • Failing to incorporate cybersecurity risk management throughout the entire product lifecycle of an imaging device. - • Not adequately validating AI algorithms for bias and accuracy across diverse patient populations and imaging modalities. - • Inadequate consideration of data privacy regulations, such as HIPAA or GDPR, when handling and transmitting patient imaging data. - • Neglecting to consider the impact of interoperability standards, such as DICOM, on data exchange and system integration. ## Frequently asked questions What is the primary regulatory concern for AI in medical imaging? The primary concern is ensuring the safety, effectiveness, and reliability of AI algorithms, particularly their ability to accurately interpret images and provide clinical insights without bias or error. This often involves extensive validation data and clinical performance studies. How does DICOM relate to medical imaging device regulation? Are all medical imaging devices subject to the same level of regulatory scrutiny? ## Related terms Grouped by theme ### Editor's picks · Hand-selected related concepts [ Market Segments AI Imaging Software Software that analyzes medical images to triage, detect, or quantify disease. ](/terms/ai-imaging)[ Reimbursement New Technology Add-On Payment(NTAP) Supplemental Medicare payment for inpatient use of qualifying new technologies. ](/terms/ntap) ### More in Market Segments · Same category [ Market Segments Aesthetic & Energy-Based Devices Lasers, RF, ultrasound, cryolipolysis, and IPL systems used for medical and cosmetic indications, body contouring, hair removal, skin tightening, vascular lesions. ](/terms/aesthetics-energy-devices)[ Market Segments Cardiac Rhythm Management(CRM) Implantable and external devices that monitor and treat cardiac arrhythmias, pacemakers, ICDs, CRT devices, and insertable cardiac monitors. ](/terms/cardiac-rhythm-management)[ Market Segments Cardiovascular Devices Devices for diagnosing, monitoring, or treating cardiovascular disease. ](/terms/cardiovascular)[ Market Segments Clinical Laboratory Improvement Amendments(CLIA) U.S. federal standards that govern clinical laboratory testing. ](/terms/clia) Cited by Where this term appears across MedTech Terms. Ecosystems (1) - [Strategic Landscape](/ecosystems/strategic-landscape) ## Mentioned in recent activity 3 entries FDA 510(k) (1)PubMed (1)Trials (1) [Medical Imaging Calibration Feature (MICF) ](https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K253582) Apple, Inc. · 2026-04-01 ## Latest in MedTech [View all](/latest?term=medical-imaging) Recent regulatory actions, publications, and trials matched to this term. Updated daily. - 510(k) 2026-04-01 [Medical Imaging Calibration Feature (MICF) ](https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K253582) Apple, Inc. - PubMed 2026-01-01 [Ethical Responsibility in the Off-Label Use of AI in Medical Imaging. ](https://pubmed.ncbi.nlm.nih.gov/42127793/) The Journal of clinical ethics - Trial 2025-11-19 [Evaluation of Clinical Efficacy of Augmented Reality (AR)-Based Breast Cancer Medical Imaging Solution (SKIA-Breast) Localization Method in Breast Cancer Patients ](https://clinicaltrials.gov/study/NCT07003841) SKIA Inc. · RECRUITING ## Primary references 3 sources Link health: 3 verified · last checked 2026-06-20 RSNA· 1 MedTech Dive· 1 AdvaMed· 1 1. [1 RSNA Verified RSNA · rsna.org ](https://www.rsna.org/) 2. [2 MedTech Dive Verified MedTech Dive · medtechdive.com ](https://www.medtechdive.com/) 3. [3 AdvaMed - Industry Reports Verified AdvaMed · advamed.org ](https://www.advamed.org/our-work/) Inline markers like \[1\] jump to the matching reference above. Sponsor note ### Building a connected device in this segment? Blue Goat Cyber specializes in MedTech cybersecurity across imaging, cardiac, IVD, surgical, and other connected segments. [Book a 30-minute discovery session](https://go.bluegoatcyber.com/meetings/blue-goat-cyber/discovery-session) - No obligation - Expert-led from minute one - NDA available on request MedTech Terms is a community resource sponsored by [Blue Goat Cyber](https://bluegoatcyber.com). Definitions are independent of any vendor. On this term Category Market Segments Sources 3 Updated 5/5/2026 [Compare with another term](/compare?a=medical-imaging) Learn in 60 seconds Card Lesson Quiz Devices that produce images of the body for diagnosis or guidance. - · GE HealthCare, Siemens Healthineers, Philips, and Canon dominate hardware. - · AI imaging companies (RapidAI, Viz.ai, Aidoc, HeartFlow) layer on top of OEM systems with separate reimbursement (NTAP, Category III CPT). - · AI-based image analysis is a major growth area. Remember this Watch out: Overlooking the classification of software as a Medical Device (SaMD) when AI algorithms are used for image analysis. Related terms - [AI Imaging Software ](/terms/ai-imaging) - [New Technology Add-On Payment(NTAP) ](/terms/ntap) You may also need Auto-suggested from Market Segments and shared keywords. - [Aesthetic & Energy-Based Devices ](/terms/aesthetics-energy-devices) - [In Vitro Diagnostics (Segment)(IVD) ](/terms/ivd-segment) - [Neuromodulation ](/terms/neuromodulation) - [Ophthalmology Devices ](/terms/ophthalmology-devices) - [Urology Devices ](/terms/urology-devices) - [Wound Care ](/terms/wound-care) [All Market Segments terms](/terms?cat=Market%20Segments) MedTech Terms An authoritative, plain-language reference for the regulatory, quality, cybersecurity, and software terms that shape modern medical devices. 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