Skin Cancer Detection

ScanSkinAI analyzes uploaded skin photos in ~30 seconds to detect 31+ conditions (including melanoma, basal cell carcinoma, eczema), generates risk reports with next-step recommendations, offers optional dermatologist review (8–48 hrs) and longitudinal tracking.

Skinive AI delivers 24/7 AI‑driven skin analysis with real‑time camera guidance, 3D mole mapping, and risk assessment for melanoma, eczema, acne, and other conditions. It supplies diagnostic support, analytics dashboards, and an integration API.

Rash Detector lets users upload three photos from different angles; computer‑vision analyzes texture, color, and pattern to produce a confidence‑rated report with risk assessment and treatment guidance, all stored securely.

Rayscape analyzes chest X‑rays and CT scans, detecting 148+ pathologies and quantifying pulmonary nodules. It highlights abnormalities, prioritizes studies by urgency, and generates structured reports, supporting radiologists, oncologists, and hospital IT teams.

Lunit delivers AI‑powered imaging analytics for breast cancer screening and chest X‑ray, offering real‑time risk scoring, patient tracking, and precision oncology modules for biomarker quantification and genotype prediction. The platform integrates seamlessly with clinical workflows and supports glo

FixYou Cancer Shield generates guideline-based, personalized cancer screening recommendations and schedules (colorectal, breast, lung, cervical, prostate, skin) from a brief questionnaire, tracks completed tests with a shield score, and stores data on-device.

ibex offers AI-powered cancer diagnostics with innovative deep learning technology. Trusted by pathologists worldwide, it enhances cancer detection accuracy, especially for small foci and higher-grade cancers, leading to better patient outcomes.

ProFound AI delivers AI‑driven breast cancer detection, density assessment, and risk evaluation for 2D and 3D mammography. Its detection module improves sensitivity and lowers recall rates, while density scoring aids risk stratification and treatment planning.

Face Shape Detector is a web-based AI tool that analyzes your facial structure from an uploaded photo. It then provides instant, personalized recommendations for the most flattering hairstyles and makeup.

IDScan.net offers an AI‑driven identity verification platform that scans passports, driver’s licenses, and mobile IDs using UV/IR imaging and deep‑fake detection. It supports real‑time data capture, KYC/AML compliance, and APIs for integration across banking, retail, and logistics.

AI Skin Analysis evaluates 14 skin health indicators using a vast global database, providing personalized skincare recommendations based on environmental factors and individual needs, making it suitable for diverse skin types across different ethnicities.

HeHealth offers a confidential, at‑home AI‑based penile health screening that analyzes self‑reported data and photos to detect STIs with about 94% accuracy, delivering rapid results and guidance while reducing stigma and improving early detection.

QOVES analyzes facial structure with 521 landmarks and 160+ aesthetic metrics, producing research‑based, personalized plans for skincare, lifestyle, and low‑invasive procedures that improve symmetry, confidence, and perceived attractiveness.

0xmd is a generative AI tool for the healthcare sector, focusing on Chinese medicine. It offers dietary advice, medicine scanning, health report analysis, skin condition recognition, and chest X-ray diagnostics, enhancing informed health choices and efficiency in medical assessments.

The AI content checking tool uses image recognition technology with 93% accuracy rate to classify potentially indecent content and offers camera and blur protection. It can be accessed through GitHub and has a mobile demo available.

My Color Analysis AI quickly identifies your personalized color palette from your photo, offering seasonal color suggestions for outfits and makeup. Get accurate results without special equipment, making it easy to enhance your natural beauty.

Photograph‑based AI calculates body‑fat percentage within seconds using shape and distribution analysis. No data is stored beyond the image. Repeatable weekly or monthly, it supports consistent tracking across genders and body types.

Eczemaless is an AI‑powered eczema app that scores skin lesions from photos, identifies food triggers, monitors weather conditions, and tracks personalized treatment adherence. Its dashboards visualize severity trends and users can export comprehensive, multilingual reports.

Embrace Beauty helps users identify their unique skin tone through a guided quiz, offering personalized recommendations for clothing, makeup, and hair color while categorizing them into seasonal palettes to enhance their natural appearance.

Gesichtsform bestimmen lets users upload a photo to detect facial landmarks and classify the face into one of six shapes—long, oval, square, round, heart, or diamond—using machine learning, with results generated server‑side without image storage.

Hippo automates dermatology documentation and patient intake, cutting administrative time by up to 50%. It integrates with EMRs, supports dermoscopic image uploads, offers smart templates and shortcuts to speed data entry and increase patient throughput.

Cat’s Eye Smart Systems uses audio‑visual sensors and AI to detect aggressive behavior in classrooms, delivering real‑time alerts, incident logs, trend reports, and ensuring safety regulation compliance. It supports early intervention, reduces bullying, and safeguards student mental health.

Beauty.AI 2.0 is a global contest platform where users upload selfies and data scientists submit algorithms evaluated by a robot jury. The system scores facial attributes—symmetry, skin tone, etc.—linking beauty assessment to AI‑driven health diagnostics.

AI Color Analysis.ai is a photo-based personal color analysis tool that uses facial landmark detection and color-science algorithms to determine your seasonal palette. It provides personalized makeup, hair, and clothing recommendations with virtual try-on features for visualization.

LotusEye automatically learns normal sensor behavior from CSV data, scores hourly anomalies, and visualizes results in a dashboard. It supports web and API ingestion, email alerts, and multi‑user collaboration, requiring no AI expertise to deploy.