Mica AI Medical
Decision-support Platform for the Early Detection of Breast Cancer
Company Overview
Snapshot
Founded in January 2019 by Lior Wayn, Dr. Rony Weitzen, Lilia Leye Shwartsman, and Dov Tamarkin, Mica AI Medical operates with 1–10 employees. The company has raised $4.23M across three funding rounds from six investors.
Business overview
Mica AI Medical develops a decision-support platform and medical record system focused on the early detection and prevention of breast cancer. Its core technology includes DENISE, an AI-based algorithm that assists radiologists in mammography analysis, and Mammography Image Comparison Analysis (MICA), which uses AI and machine learning to identify suspicious changes over time. The company also offers an app for managing medical records and images. Mica AI Medical serves the healthcare industry, specifically targeting hospitals, doctors, and healthcare providers, with a focus on women's health and oncology.
Strategic signal
Mica AI Medical's successful validation of its DENISE algorithm at Sheba Hospital, demonstrating a 90% increase in mammography accuracy and a 30% decrease in unnecessary biopsies, signals a significant advancement in AI-driven diagnostic tools. This indicates strong potential for improving patient outcomes and operational efficiency in breast cancer screening, positioning the company as a key innovator in medical decision support for radiologists and healthcare providers.
Log in to access full profile ›Company Intelligence Q&A
- What is Mica AI Medical's primary focus?
- Mica AI Medical focuses on developing a decision-support platform for the early detection and prevention of breast cancer, utilizing AI and machine learning technologies.
- When was Mica AI Medical founded?
- Mica AI Medical was founded in January 2019.
- Which investors participated in Mica AI Medical's February 2023 funding round?
- In February 2023, Mica AI Medical received funding from investors including.
- What is the core technology behind Mica AI Medical's offerings?
- The company's core technology includes DENISE, an AI-based algorithm for decision support in mammography, and Mammography Image Comparison Analysis (MICA), which uses AI and machine learning to track changes in mammograms over time.
- What was a key outcome of the DENISE algorithm's validation at Sheba Hospital?
- The DENISE algorithm, validated at Sheba Hospital, demonstrated an increase in mammography accuracy to 90% and a decrease in unnecessary biopsies by 30%.