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Medical Care Technologies, Inc. (OTC Pink:MDCE) Details Six-Phase Internal Testing Protocol Driving Melanoma Scan Beta Progress

(Very High)
(Positive)
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Medical Care Technologies (OTC:MDCE) outlined a six-phase internal testing protocol for its MDCE Melanoma Scan Beta AI platform. The process covers dataset curation, baseline training, hyperparameter tuning, stress testing, longitudinal monitoring, and final validation.

Internal benchmarking indicates performance slightly above typical AI skin lesion analysis tools (sensitivity ~78-86%, specificity ~75-88%). The platform targets image organization and longitudinal skin health tracking, remains in beta, lacks regulatory clearance, and is not intended for diagnosis or treatment.

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Positive

  • Six-phase internal testing framework established for Melanoma Scan Beta
  • Use of major public datasets including HAM10000, ISIC Archive, and TCIA melanoma collections
  • Internal validation suggests performance slightly above typical AI skin lesion benchmarks
  • Focus on longitudinal tracking and workflow efficiency for skin health monitoring

Negative

  • Melanoma Scan Beta remains in beta-stage and not commercially cleared
  • No regulatory clearance yet; system not intended for diagnosis, treatment, or disease prevention

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Medical Care Technologies, Inc. (OTC PINK:MDCE) Details Six-Phase Internal Testing Protocol Driving Melanoma Scan Beta Progress

MESA, AZ / ACCESS Newswire / July 7, 2026 / Medical Care Technologies, Inc. (OTC PINK:MDCE) today elaborated on the rigorous six-phase internal testing framework that has powered the encouraging results announced on June 26, 2026.

Following the initial structured testing announcement on June 12, 2026, the Company has implemented a comprehensive, multi-stage internal evaluation process focused on training and optimizing its proprietary AI vision models for the MDCE Melanoma Scan Beta platform.

The six-phase internal testing protocol includes:

  1. Dataset Ingestion & Preprocessing - Systematic curation and augmentation of diverse dermatoscopic images drawn from leading public benchmarks, including the HAM10000 dataset (~1,113 melanoma cases), the expansive ISIC Archive, and relevant TCIA melanoma collections.

  2. Baseline Model Training - Initial training of the Company's proprietary computer vision and deep learning algorithms on balanced data subsets.

  3. Hyperparameter Optimization & Cross-Validation - Rigorous fine-tuning and k-fold cross-validation to enhance model generalizability.

  4. Simulated Real-World Stress Testing - Evaluation under varied lighting conditions, angles, skin tones, and lesion presentations to simulate real-world use.

  5. Longitudinal Consistency & Monitoring - Testing of image organization, tracking, and longitudinal analysis capabilities essential for ongoing skin health monitoring.

  6. Final Validation & Benchmarking- Independent internal review confirming performance metrics slightly above typical industry benchmarks for AI-powered skin lesion analysis tools (sensitivity typically 78-86% and specificity 75-88%).

These early results highlight meaningful improvements in image consistency, workflow efficiency, and preliminary detection accuracy, further validating the core technology.

"This structured six-phase approach ensures our AI models are robust, generalizable, and developed through responsible innovation," said Marshall Perkins, CEO of Medical Care Technologies "We are encouraged by the progress while continuing our commitment to rigorous testing and regulatory preparedness."

The MDCE Melanoma Scan Beta platform continues to be developed as an image organization and monitoring system intended to support longitudinal skin health tracking and preventative wellness awareness. It remains in beta-stage development, has not received regulatory clearance, and is **not intended to diagnose, treat, cure, or prevent any disease or medical condition**, nor to replace professional medical advice or evaluation.

These advancements align with MDCE's diversified technology portfolio, which includes the recently overhauled corporate website at [www.medicalcaretechnologies.com](https://www.medicalcaretechnologies.com) offering Vision API services, the high-value sports memorabilia platform at InfiniteAuctions.com, and the industry-leading authentication site at www.realgameused.com.

About Medical Care Technologies, Inc.:
Medical Care Technologies, Inc. (OTC PINK:MDCE) is a technology company focused on artificial intelligence, imaging technologies, digital wellness platforms, authentication technologies, and advanced software development initiatives. The Company is actively developing AI-assisted imaging and computer vision technologies designed to support emerging opportunities across digital health and preventative wellness markets.

Contact Information:
Medical Care Technologies, Inc.
Website: https://medicalcaretechnologies.com/
Email: info@medicalcaretechnologies.com
Phone: 1-480-645-0750
Address: 1910 S Stapley Drive, Suite 221, Mesa, AZ 85204

Safe Harbor Statement:
This press release contains forward-looking statements that involve risks and uncertainties, including statements regarding product development, testing activities, future platform capabilities, commercialization opportunities, and business strategy. Actual results may differ materially from those projected. Medical Care Technologies undertakes no obligation to update forward-looking statements except as required by law.

SOURCE: Medical Care Technologies Inc.



View the original press release on ACCESS Newswire

FAQ

What testing protocol did Medical Care Technologies (OTC:MDCE) announce for Melanoma Scan Beta on July 7, 2026?

Medical Care Technologies detailed a six-phase internal testing protocol for its MDCE Melanoma Scan Beta AI platform. According to Medical Care Technologies, the phases span dataset ingestion, baseline training, optimization, stress testing, longitudinal monitoring, and final internal validation and benchmarking.

How does MDCE Melanoma Scan Beta’s performance compare to typical AI skin lesion tools?

Internal validation suggests performance slightly above typical AI skin lesion analysis benchmarks. According to Medical Care Technologies, reference ranges for such tools are about 78-86% sensitivity and 75-88% specificity, with the company’s internal results described as marginally higher than these typical ranges.

Is the MDCE Melanoma Scan Beta platform from Medical Care Technologies (MDCE) FDA approved or cleared?

No, MDCE Melanoma Scan Beta has not received any regulatory clearance or approval. According to Medical Care Technologies, the platform remains in beta development and is not intended to diagnose, treat, cure, or prevent disease, nor replace professional medical evaluation.

What is the intended use of Medical Care Technologies’ MDCE Melanoma Scan Beta platform?

The platform is intended for image organization and longitudinal skin health monitoring. According to Medical Care Technologies, MDCE Melanoma Scan Beta focuses on tracking skin lesions over time and supporting preventative wellness awareness, rather than providing standalone diagnostic or therapeutic decisions for users or clinicians.

Which datasets are used to train Medical Care Technologies’ MDCE Melanoma Scan Beta AI models?

The AI models are trained on diverse public dermatoscopic image datasets. According to Medical Care Technologies, sources include HAM10000 with about 1,113 melanoma cases, the ISIC Archive, and relevant TCIA melanoma image collections for broad representation.

What does the six-phase testing framework mean for MDCE shareholders and the Melanoma Scan Beta roadmap?

The framework indicates structured internal progress on the Melanoma Scan Beta AI technology. According to Medical Care Technologies, it emphasizes robustness, generalizability, workflow efficiency, and regulatory preparedness, but the platform is still in beta and not yet cleared for clinical diagnostic use.