Pathologist Support In Cancer Diagnosis

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.

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

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.

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.

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.

MD.ai automates radiology reporting and dataset annotation, handling template selection, key finding mapping, impression generation, billing codes, and patient audio summaries. It integrates with HL7/DICOM, offers secure PHI detection, multilingual support, and AI‑assisted annotator for high‑quality

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.

Medlabreport.com uses AI to generate a personalized health report within minutes of a single file upload. It analyzes labs, imaging, urine, biopsies, and symptoms, then emails a clear summary highlighting concerns and tailored recommendations for quicker insight.

MedicMuse is an AI‑powered clinical support system that lets clinicians enter symptoms to receive instant, guideline‑backed diagnostic, management, and referral recommendations. It produces concise outputs in seconds, saving 2–3 minutes per patient and improving workflow efficiency.

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.