Mica AI Medical

Decision-support Platform for the Early Detection of Breast Cancer

Health Tech & Life Sciences
Private

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 information hub and medical record platform focused on breast cancer prevention. The company's core technology includes DENISE, an AI-based algorithm that provides decision support to radiologists, and Mammography Image Comparison Analysis (MICA), which uses AI and machine learning to identify suspicious changes in mammograms over time. These solutions aim to increase mammography accuracy and reduce unnecessary biopsies. Mica AI Medical serves the healthcare industry, particularly hospitals, doctors, and healthcare providers, with a focus on women's health and oncology, operating within the digital healthcare and medical decision support sectors.

Strategic signal

Mica AI Medical's successful development and validation of its DENISE AI algorithm at Sheba Hospital, demonstrating a 90% increase in mammography accuracy and a 30% decrease in unnecessary biopsies, signals strong clinical efficacy and potential for significant impact in early breast cancer detection. This validation indicates a robust technological foundation and a clear pathway for improving diagnostic precision, which is a critical factor for investors in the health tech sector.

Company Intelligence Q&A

What is Mica AI Medical's primary focus?
Mica AI Medical focuses on developing a decision-support information hub and medical record platform for the early detection and prevention of breast cancer.
When was Mica AI Medical founded?
Mica AI Medical was founded in January 2019.
What is the DENISE AI algorithm?
DENISE is an AI-based algorithm developed by Mica AI Medical that provides decision support to radiologists, validated at the Sheba Hospital to increase mammography accuracy to 90% and decrease unnecessary biopsies by 30%.
What is the purpose of the Mammography Image Comparison Analysis (MICA) technology?
MICA's artificial intelligence and machine-learning algorithms identify suspicious new changes in mammograms over time, facilitating follow-up for patients with known lesions and comparing current studies to prior ones.