The startup develops diagnostic technologies that utilize artificial intelligence and medical imaging to identify lung cancer in patients. By enabling early detection of this high-mortality disease, the company aims to reduce the public health burden and associated costs of late-stage lung cancer treatment.
Funding
$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Lung cancer is often diagnosed at advanced stages, leading to reduced survival rates and increased healthcare costs. Radiologist shortages and the time-intensive nature of manual CT scan reviews can delay diagnosis and treatment. Existing methods may also suffer from inconsistencies in accuracy due to human error and variability in experience levels among radiologists.
Solution
PreciousMD offers ChestClearAI, an AI-powered solution designed to streamline lung cancer screening and accelerate early detection. ChestClearAI automatically analyzes CT scans to identify and filter out normal cases, allowing radiologists to focus on suspicious cases. This evidence-backed approach enhances radiologist efficiency by 70-84%, reduces turnaround time by approximately 30%, and improves diagnostic accuracy by minimizing human error. By integrating AI into the diagnostic workflow, ChestClearAI aims to improve patient outcomes through earlier and more accurate diagnoses, while also alleviating the burden on radiologists. The company also offers DICOMWallet, a cloud-based medical storage service with an integrated DICOM viewer that enables users to store, access, and share medical images online while safeguarding patient data.
Target Audience
The primary target audience includes radiologists, pulmonologists, and healthcare providers involved in lung cancer screening programs, as well as medical professionals seeking secure and efficient solutions for medical image storage and analysis.
Features
- AI-driven analysis of CT scans for lung cancer screening
- Automated filtering of normal cases to prioritize suspicious scans
- Cloud-based DICOM storage and viewer (DICOMWallet)
- AI-powered image analysis for efficient and accurate diagnoses
- Secure and collaborative platform for healthcare teams
- Continuous updates to AI algorithms for improved performance
- User-friendly interface for easy integration into existing workflows
- Non-invasive method for detecting cancer mutations using AI-enhanced imaging