AINIA digital

HealthScan

Advanced imaging technology, AI and collaborative robotics at the service of precision medicine

A new paradigm in tissue diagnostics

From tissue to data. From uncertainty to accurate diagnosis

In today’s medicine, early and accurate detection of cellular alterations is critical to improve prognosis and personalize treatment. However, conventional tools, such as biopsies or traditional imaging tests, are invasive, slow or insufficient to detect early biochemical changes.

HealthScan solves this limitation: it allows tissue characterization in real time, without the need for physical contact or extraction, using hyperspectral imaging and AI algorithms trained on real clinical data.

Technology oriented to improve clinical practice in specialties such as:

Oncology

Early detection of melanoma, basal cell carcinoma or adenomas in the skin, colon or oral mucosa.

Dermatology

Automated classification of skin lesions, psoriasis, inflammatory acne or atopic dermatitis.

Gynecology and fertility

Non-invasive analysis of endometrial or ovarian tissues for fertility treatment optimization.

Cardiology

Contactless myocardium study, helping to predict inflammatory or ischemic conditions.

Transplants and surgery:

In situ evaluation of the condition of preserved organs and implanted tissues.

Beyond diagnosis: a clinical decision tool

Medical efficiency, patient safety and technological leadership

HealthScan not only improves diagnosis but also expands the capabilities of the medical staff:

It provides objective and quantifiable information in real time, without waiting times due to laboratory backlog.
It reduces reliance on invasive tests or limited resources.
It improves clinical workflow efficiency, avoiding diagnostic bottlenecks.
It facilitates data-driven decision making, thanks to automatic learning (deep learning) through previous real cases.
It adapts to multiple hospital areas: dermatology, operating room, outpatient clinics, endoscopy or pathology laboratories.

Built-in artificial intelligence can identify patterns that are not visible to the naked eye, continuously learning to provide increasingly precise results every day.

03_ Technological core

Synergistic, intelligent and compatible with your systems

An advanced architecture that evolves with you

Multiband hyperspectral vision (visible + infrared):

It enables the identification of structural and biochemical alterations not visible through conventional methods.

NIR spectroscopy

It extracts the “chemical fingerprint” of tissues without contact, ideal for distinguishing healthy from pathological tissue.

Artificial Intelligence (AI)

It autonomously analyzes spectral data, detects lesions, classifies tissues and proposes diagnostic alerts.

Collaborative robotics

It facilitates automated scanning in operating rooms or clinics, reducing clinical staff workload and improving accuracy.

Clinical augmented reality

It visually highlights suspicious areas directly on the image, enabling faster and safer action.

Edge computing

It processes data on-site, guaranteeing speed and privacy, without dependence on external servers.

Designed to easily integrate with other medical imaging systems and clinical databases.

Clinical projects that validate the solution

Proven results in real hospital environments

CHEMISCOPIA

Hospital La Fe: Adenoma classification without needing biopsy.

MELADET

Hospital La Fe: Melanoma early diagnosis with AI

MEDISCAN

La Fe + IVO: Real-time delineation of colon and skin cancer using spectral endoscopy.

AD-DERMA

IVO: Non-invasive evaluation of cancerous skin lesions.

Advanced fertility

Private Collaboration: Optimization of treatments with endometrial spectroscopy

Organ preservation

Hospital La Paz + INCLIVA: Characterization of organs for AI transplantation.

When innovation and medicine work together

Reduce risks, improve decisions, transform your clinical practice

HealthScan completely transforms the diagnostic approach:

By reducing pain, risks and recovery times.

By increasing the therapeutic success rate.

By delivering standardized and objective results

By freeing up time and space for priority cases.

By adapting decisions to the real characteristics of the patient.

Adaptable to the needs of each facility: from private clinics to university hospitals.

Each of these benefits is the result of key design factors: automation, spectral capacity, analysis power, AI integration and clinical adaptation.

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