TRUE-See Stories New Peer-Reviewed Publication that Highlights the Essential Position of Accuracy and High quality Requirements in Medical Pictures

NEW ORLEANS, May 19, 2026 (GLOBE NEWSWIRE) — TRUE-See Systems, the worldwide chief in calibrated photographic medical imaging and picture authentication, immediately reported publication of a brand new peer-reviewed evaluation that highlights the important position of accuracy and coloration and high quality requirements within the medical pictures which can be broadly used for the evaluation and therapy of wounds and different medical situations. The article, “The importance of accurate color in wound photography and data,” was revealed within the April 2026 situation of the journal Wound.¹

The authors word that wound pictures is a broadly used and important instrument for scientific evaluation, documentation, telemedicine and rising AI-powered analytic purposes. Yet lately medical picture seize has shifted to doctor and patient-operated smartphones – as much as 93% of all routine scientific pictures at the moment are taken utilizing smartphones, leading to enormously elevated variability within the applied sciences and methods used for picture seize, documentation and interpretation. As a end result, up to date wound pictures has developed largely outdoors the target acquisition and accuracy requirements utilized to different medical imaging modalities and lacks goal, measurable assessments of picture accuracy. In explicit tissue and pores and skin coloration, a major determinant for the analysis of wounds and greater than 40 different medical situations, is inconsistently represented in present routine scientific pictures.

For this publication, the Wound Care Collaborative Community (WCCC) Tools Work Group carried out a broad structured literature evaluation that synthesized peer-reviewed research, requirements paperwork and enormous observational analyses addressing wound pictures accuracy, coloration calibration, acquisition standardization, analytic efficiency, scientific interpretation variability and documentation use. WCCC is an FDA-approved and acknowledged unbiased collaborative physique centered on fixing widespread, complicated issues in wound care by supporting evidence-based innovation. The evaluation discovered that:

• Uncalibrated wound pictures demonstrated substantial deviation from recognized coloration reference values, with large dispersion of clinically related tissue colours.
• Medical pictures obtained with out using standardized strategies resulted in variability in measurements and divergent scientific assessments.
• Predictive efficiency to be used in scientific determination making and the event of AI-powered analytic instruments was considerably impacted by baseline picture constancy.

Multiple peer-reviewed datasets demonstrated that standardized picture acquisition methods mixed with coloration calibration produced substantial and clinically significant enhancements in coloration accuracy, in addition to improved reproducibility and utility for growing new analytic and diagnostic instruments utilizing AI and machine studying fashions.

WCCC Vice President and publication creator Alisha Orapallo MD, FACS, FSVS, FABWMS, is Professor of Surgery on the Donald and Barbara Zucker School of Medicine at Hofstra University/Northwell and the Feinstein Institutes for Medical Research. She is the Director of the Comprehensive Wound Healing Center and Program Director of the Wound and Burn Fellowship program at Northwell Health. Dr. Orapallo notes, “This review demonstrates that inaccuracy in wound photography is prevalent, measurable and consequential. The good news is that standardized image acquisition technologies and color calibration using reference targets produce substantial, measurable and clinically meaningful reductions in errors. These result in improved photographic fidelity and support more reliable use in clinical settings and in the development of AI-powered analytic and diagnostic tools. The types of image-quality standards discussed in this review are common in other types of medical imaging and we believe their adoption would represent a practical pathway to improving reliability and utility in wound photography.”

Clinicians battle with unreliable medical photographs because of coloration errors, lack of standardization and ranging high quality, resulting in diagnostic uncertainty and inconsistent therapy plans. Additionally, clinicians usually waste vital time on fragmented, guide and cumbersome medical picture seize and documentation processes. TRUE-See delivers an built-in, environment friendly answer that gives medical photographs which can be verifiably correct and coloration and quality-calibrated. This eliminates guesswork by offering a real illustration of scientific situations for extra exact evaluation, monitoring and therapy plan growth. It additionally allows simple integration with digital well being data, accelerated AI instrument growth and improved affected person and reimbursement outcomes.

“This review adds scientific rigor to a situation familiar to those working on the front lines of wound management, dermatology, vascular and reconstructive surgery and related fields,” stated Ben Favret, Chief Executive Officer of TRUE-See Systems. “Medical photos are an essential tool in all of these applications, but without accuracy and consistency their value can be highly variable, undermining confidence in their use and potentially posing challenges for validation, patient outcomes and reimbursement. TRUE-See was developed to address this problem, ensuring that clinicians have easy and cost-effective access to accurate medical photos they can trust—color and quality-calibrated, captured simply and rapidly, stored securely, standardized across the enterprise and integrated into the medical systems already in use. Our strong relationships with the healthcare leaders developing the image quality standards that are transforming medical photography are enabling TRUE-See to remain at the forefront of this imaging revolution.”

1 – James FG, Oropallo A, Woodworth J, et al. The significance of correct coloration in wound pictures and information. Wounds. 2026;38(4):90-96. doi.10.25270/wnds/24145

About TRUE-See Systems
TRUE-See Systems is dedicated to bettering scientific outcomes by means of standardized, color-accurate medical pictures that will increase the accuracy, utility and effectivity of scientific pictures by means of its patented coloration calibration expertise, safe workflows and AI-powered diagnostic instruments. TRUE-See’s proprietary system delivers vital enhancements in diagnostic accuracy and reimbursement charges, simplifies doctor workflows, ensures HIPAA compliance, and establishes authorized admissibility. With a rising library comprising greater than 2 million calibrated medical pictures, TRUE-See empowers clinicians to make quicker, extra correct medical choices for sufferers whereas bettering confidentiality, authorized defensibility and reimbursement outcomes for suppliers. Learn extra at TRUE-See.com.

About the Wound Care Collaborative Community
The Wound Care Collaborative Community (WCCC) is devoted to advancing the event and adoption of protected, efficient and high-quality revolutionary remedies and diagnostics for power wounds. Grounded in scientific rigor, WCCC is an FDA-approved and acknowledged unbiased collaborative physique centered on fixing widespread, complicated issues in wound care by supporting evidence-based innovation to enhance product security and affected person entry to cutting-edge medical expertise whereas lowering value and time to market. It serves as a focus for collaboration, working carefully with the FDA, the Centers for Medicare & Medicaid Services (CMS) and trade, academia and affected person teams to handle medical machine, diagnostic, drug, and biologic challenges in treating power wounds.

Media Contact

For TRUE-See Systems
Barbara Lindheim
blindheim@bllbiopartners.com
917-355-9234