It’s no secret that artificial intelligence (AI) has arrived in radiology and that AI-based CAD is good for patients.
But what about AI’s effect on your revenue? As highlighted in International Hospital, whether you are an independent radiologist or a large imaging center, you have a business to run, and practices need revenue and cost saving strategies to survive. The good news is that using AI to screen patients for breast cancers doesn’t just benefit patients—research shows that it improves your practice’s bottom line.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Machine Learning,
breast cancer awareness,
AI Mammogram,
black history month,
Breast imaging,
BI-RADS Atlas 5th Edition,
FFPI,
Dense Breast,
Ethnic disparities,
BRCA,
Ashkenazi Jewish,
Asian Women,
Brazilian women,
African American Women
Radiologists know that every patient is different. When reading a mammogram, it’s important to know a patient’s racial and ethnic background, health history, age, geographic location and breast density, just to name a few factors. Understanding how these differences may affect a patient’s diagnosis is crucial—and unfortunately, many radiologists do not have the data driven insights they need to accurately diagnose a diverse array of cases and find breast cancers earlier.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Machine Learning,
breast cancer awareness,
AI Mammogram,
black history month,
Breast imaging,
BI-RADS Atlas 5th Edition,
FFPI,
Dense Breast,
Ethnic disparities,
BRCA,
Ashkenazi Jewish,
Asian Women,
Brazilian women,
African American Women
Coronary heart disease is the leading cause of death for women in the United States. One in three women will die from heart disease alone, according to the American Heart Association—five times the rate of death from breast cancer.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Machine Learning,
breast cancer awareness,
RSNA,
AI Mammogram
Artificial intelligence (AI) continues to make a major impact on medical imaging, particularly in computer-aided cancer detection. Multiple studies have demonstrated that using AI-based computer-aided detection (CAD) for mammography significantly improves radiologists’ ability to detect breast cancers[1] and reduces the number of false positives recalled for unnecessary screening[2].
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Machine Learning,
breast cancer awareness,
RSNA,
AI Mammogram
Well-respected Radiologist Brings Over Three Decades of Experience to AI-Focused Global Health Technology Company.
La Jolla, California, December, 2020 — CureMetrix, Inc., a global healthcare technology company that develops AI-driven software for radiology, today announced that Marie Tartar, MD, an accomplished diagnostic radiologist and breast imaging specialist with over three decades of experience, will join the company as Vice President of Medical Affairs.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Deep Learning,
Machine Learning,
breast cancer awareness
As published by AuntMinnie.com - Dec 1, 2020:
Computer-aided detection (CAD) software developer CureMetrix reported in a Tuesday morning presentation at the virtual RSNA 2020 meeting that radiologists who used its mammography artificial intelligence (AI) software in a recent challenge were more accurate than those who didn't utilize the technology.
In a "Test Drive Challenge" study performed by the company in collaboration with Ambra Health, CureMetrix found that radiologists who used its AI software had improved sensitivity and specificity for detecting breast cancer compared with those who didn't. They also read normal cases much faster than those who interpreted the exams without the aid of AI software, said Kevin Harris, president of CureMetrix.
In the study, CureMetrix first invited seven experienced radiologists to read an enriched test of 25 mammograms, which included 19 normal and six biopsy-confirmed cancer cases, according to the vendor. These exams were interpreted without the use of AI on a research platform created by Ambra, according to the vendor.
Next, 30 other radiologists who volunteered to participate in the challenge read the same cases on the same platform, but with help from AI. In this part of the study, the radiologists were given a worklist of the 25 mammograms that had been prioritized by the firm's cmTriage mammography triage software by level of cancer suspicion. They then interpreted the exams with help from the vendor's cmAssist algorithm, which identifies, marks, and scores suspicious lesions for review by the radiologist, according to CureMetrix.
| Radiologist performance on test set of 25 screening mammograms |
| |
Radiologists without AI |
Radiologists with AI |
Percentage improvement |
| Sensitivity |
71% |
75% |
5% |
| Specificity |
56% |
75% |
34% |
| Accuracy |
60% |
75% |
25% |
The improvements were seen across all levels of reader experience, according to the company.
In addition, the radiologists were able to read normal exams 40% faster with use of AI, CureMetrix said.
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Topics:
News,
AI,
mammogram,
cmTriage,
cmAssist
Human insights and visionary medicine – the theme for the 2020 RSNA Annual Meeting, and the CureMetrix team aims to deliver just that – all in a virtual setting. Many of you have engaged already via the AI Test Drive Challenge and other events throughout the year, and we are excited to support you with education and information that can be applied in your practice to improve cancer detection, reduce false positives, and reduce reading time so that you can deliver a better patient experience.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Deep Learning,
Machine Learning,
breast cancer awareness,
Athena
CureMetrix AI joins 567 projects, products, and services from Spotify, Google, Disney+, and others.
CureMetrix was honored as a finalist in Fast Company’s Innovation by Design Awards for 2020 in the Health category.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Deep Learning,
Machine Learning,
breast cancer awareness
Artificial intelligence (AI) is quickly becoming a mainstay in radiology, and it’s helping doctors read mammograms more accurately than ever. AI is no replacement for an expert radiologist, but it is a highly trained, sensitive tool that can pick up subtle differences the human eye might miss.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Deep Learning,
Machine Learning,
breast cancer awareness,
Athena
Putting Radiologists in the Driver’s Seat. Enter the AI Test Drive to Win an eBike.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Deep Learning,
Machine Learning
