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Medical Care Technologies, Inc. (OTC PINK:MDCE) Advances Melanoma Scan Beta Through Comprehensive AI Model Optimization Using Gold-Standard Datasets

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Medical Care Technologies (OTC PINK:MDCE) detailed a six-phase AI model optimization protocol for its MDCE Melanoma Scan Beta platform, following positive internal testing disclosed earlier. The process uses gold-standard public dermoscopic datasets such as HAM10000, ISIC archives (including BCN20000 and SLICE-3D), and TCIA melanoma cohorts to train advanced convolutional and transformer-based vision models.

The company reports rigorous preprocessing, iterative optimization, multi-scenario validation across diverse skin tones and conditions, and performance benchmarking that slightly exceeds established industry benchmarks for AI skin lesion analysis while maintaining workflow efficiency. Melanoma Scan Beta remains a non-diagnostic, beta-stage image organization and monitoring tool without regulatory clearance, positioned within MDCE’s broader preventive wellness and diversified technology portfolio.

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Internal Testing Demonstrates Strong Technical Progress and Positions MDCE for Growth in AI-Powered Preventive Wellness

MESA, AZ / ACCESS Newswire / July 16, 2026 / Following the positive internal testing results announced on June 26, 2026, Medical Care Technologies, Inc. (OTC PINK:MDCE) today outlined the structured six-phase process applied to train and optimize its proprietary AI vision models for the MDCE Melanoma Scan Beta platform.

To learn more about MDCE and its diversified technology initiatives, visit the corporate website at www.medicalcaretechnologies.com.

By leveraging leading public benchmark datasets, the Company has executed a rigorous, methodical development cycle designed to deliver robust, high-performing AI capabilities. These advancements underscore MDCE's commitment to innovation in AI imaging technologies and highlight significant potential within the rapidly expanding preventive wellness and digital health markets.

MDCE's Six-Phase AI Model Optimization Protocol:

Phase 1: Data Acquisition & Curation - Sourcing high-quality dermoscopic images from premier public resources, including the HAM10000 dataset, extensive ISIC Archive collections (such as BCN20000 and SLICE-3D), and TCIA melanoma cohorts.

Phase 2: Preprocessing & Augmentation - Applying advanced techniques such as rotations, color corrections, and synthetic variations to enhance model robustness across diverse conditions.

Phase 3: Core Model Training - Leveraging state-of-the-art convolutional neural networks and transformer-based architectures to build powerful computer vision foundations.

Phase 4: Iterative Optimization - Conducting hyperparameter tuning and adversarial training to maximize performance and resilience.

Phase 5: Multi-Scenario Validation - Rigorous testing across diverse demographics, skin tones, lighting conditions, and lesion presentations to ensure real-world applicability.

Phase 6: Performance Benchmarking & Refinement - Achieving results slightly exceeding established industry benchmarks for AI-powered skin lesion analysis tools, while maintaining superior workflow efficiency.

"This comprehensive six-phase approach reflects the depth of our technical execution and strengthens the foundation for future growth," said Marshall Perkins, CEO of Medical Care Technologies. "We are excited by the momentum in our AI initiatives and their potential to contribute to our diversified technology portfolio as we pursue opportunities in preventive wellness."

The MDCE Melanoma Scan Beta platform is being 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 by a qualified healthcare provider.

These technical milestones align with MDCE's broader strategic vision, which includes the recently enhanced corporate website at www.medicalcaretechnologies.com offering Vision API services, the high-value sports memorabilia auction platform at InfiniteAuctions.com, and the leading authentication platform at www.realgameused.com.

About Medical Care Technologies, Inc. Medical Care Technologies, Inc. (OTC PINK:MDCE) is a technology company focused on artificial intelligence, advanced imaging technologies, digital wellness platforms, authentication solutions, and innovative software development. The Company is actively advancing AI-assisted imaging and computer vision technologies aimed at emerging opportunities in digital health and preventive 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 within the meaning of the Private Securities Litigation Reform Act of 1995. These statements involve risks and uncertainties that could cause actual results to differ materially from those projected. Factors include, but are not limited to, regulatory approvals, market conditions, technological challenges, and competition. Medical Care Technologies, Inc. undertakes no obligation to update forward-looking statements except as required by law. Investors are cautioned not to place undue reliance on these forward-looking statements.

SOURCE: Medical Care Technologies Inc.



View the original press release on ACCESS Newswire

FAQ

What did Medical Care Technologies (OTC PINK:MDCE) announce about Melanoma Scan Beta on July 16, 2026?

Medical Care Technologies outlined a six-phase AI optimization protocol for its MDCE Melanoma Scan Beta platform. According to Medical Care Technologies, internal development now uses benchmark dermoscopic datasets, advanced vision architectures, and multi-scenario validation, achieving performance slightly above established industry benchmarks for AI skin lesion analysis tools.

How does MDCE's six-phase AI model optimization process work for the Melanoma Scan Beta platform?

MDCE’s process spans data acquisition, preprocessing, core model training, optimization, validation, and benchmarking. According to Medical Care Technologies, it sources leading public dermoscopic datasets, applies augmentation, trains convolutional and transformer-based models, tunes hyperparameters, tests across diverse real-world scenarios, and refines performance and workflow efficiency iteratively.

Is the MDCE Melanoma Scan Beta platform approved to diagnose melanoma or other skin cancers?

No, Melanoma Scan Beta is not approved to diagnose, treat, cure, or prevent any disease. According to Medical Care Technologies, it is a beta-stage image organization and monitoring system for longitudinal skin health tracking and preventive wellness awareness and has not received regulatory clearance or approval.

Which AI training datasets does Medical Care Technologies (MDCE) use for its Melanoma Scan Beta models?

Medical Care Technologies uses several gold-standard public dermoscopic datasets to train its AI models. According to Medical Care Technologies, these include the HAM10000 dataset, ISIC Archive collections such as BCN20000 and SLICE-3D, and melanoma cohorts from the Cancer Imaging Archive (TCIA).

How does MDCE Melanoma Scan Beta fit into Medical Care Technologies' broader technology portfolio (OTC PINK:MDCE)?

Melanoma Scan Beta is part of MDCE’s focus on AI-powered preventive wellness and digital health. According to Medical Care Technologies, it complements offerings like Vision API services, the InfiniteAuctions sports memorabilia platform, and the RealGameUsed authentication platform in the company’s diversified technology portfolio.

What real-world conditions are considered in validating MDCE’s Melanoma Scan Beta AI models?

Validation covers multiple demographics, skin tones, lighting conditions, and lesion presentations to test real-world applicability. According to Medical Care Technologies, the multi-scenario validation phase is designed to improve robustness and ensure that AI performance generalizes beyond controlled datasets into varied clinical and consumer environments.