Game-Changing AI Software That Helps Diagnose Breast and Thyroid Cancers Receives US FDA Clearance
By MedImaging International staff writers Posted on 20 Dec 2021 |

A new artificial intelligence (AI) enabled software that improves cancer detection with fewer false positives and avoidable procedures has been cleared for use by physicians interpreting ultrasound exams.
Koios Medical, Inc. (New York, NY, USA) has received FDA clearance for Koios DS, its AI-based software platform used to diagnose thyroid and breast cancer. The new system, built using ultrasound data from a network of 48 sites around the world, aids physicians in accurately diagnosing disease and improves speed to treatment while reducing avoidable surgical procedures.
Breast cancer is the second most diagnosed cancer in women worldwide. An ultrasound exam is the standard of care for women with dense breast tissue. Thyroid disease is one of the most complex and challenging radiological interpretations. Diagnostic uncertainty drives a high level of variability across physicians and results in surgical procedures, downstream cost, risk of complication and physician burn-out.
The company performed studies that proved physicians using Koios DS software dramatically improved accuracy, consistency, and efficiency. Physicians’ thyroid cancer detection rates jumped by up to 14% while simultaneously reducing false positive biopsy orders by over 35%. Interpretation variability was lowered by over 50% and time spent per case dropped by 24%.
The patented AI software aligns Koios DS AI generated findings directly to the American College of Radiology’s BI-RADS and TI-RADS rating systems as well as the American Thyroid Association’s system for tissue classification, scoring and patient management. The AMA recently announced new CPT Category 3 codes for whenever Koios DS software is utilized interpreting, classifying and reporting traditional ultrasound exams.
The rigor of the FDA clearance process required that Koios DS be proven to accurately interpret images from all major ultrasound hardware manufacturers. The software is compatible with major PACS workstation viewers and integrated into GE Healthcare’s LOGIQ E10 ultrasound scanner. The system enables real-time decision-making with results that can be exported directly into a patient's record and all major reporting systems, reducing errors and saving time.
“The typical decision-making paradigm relies on tradeoffs; trading sensitivity for specificity, efficiency for thoroughness, but the only thing enforcing this paradigm is the inability to shift off of these tradeoff curves in place of shifting along them,” said Dr. Lev Barinov, VP of Clinical Excellence. “This novel software demonstrates that using AI for decision support physicians can make clinically meaningful shifts in performance improving interpretation efficacy and diagnostic performance, improving sensitivity and reducing false positives. It is exciting to bring these innovations to physicians and ultimately their patients to elevate the level of care broadly.”
“The ability of physicians and health systems to now code and bill for the use of this innovative and effective technology will most certainly accelerate adoption, putting the software into the hands of physicians for the benefit of patients nationwide,” added Graham Anderson, Koios Medical CFO.
“The loss of life globally to cancers found too late, or misdiagnosed, is tragic. When combined with the millions wasted on avoidable procedures we are compelled to relentlessly innovate, building powerful AI models directly into easy-to-use software,” said Koios Medical CEO Chad McClennan. “This new FDA clearance means physicians are now poised to save tens of thousands of lives while freeing up precious time and resources that can be used more effectively and elevate quality of life.”
Related Links:
Koios Medical, Inc.
Latest General/Advanced Imaging News
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
- Comprehensive CT Scans Could Identify Atherosclerosis Among Lung Cancer Patients
- AI Improves Detection of Colorectal Cancer on Routine Abdominopelvic CT Scans
- Super-Resolution Technology Enhances Clinical Bone Imaging to Predict Osteoporotic Fracture Risk
- AI-Powered Abdomen Map Enables Early Cancer Detection
Channels
Radiography
view channel
Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read moreMRI
view channel
New MRI Technique Reveals Hidden Heart Issues
Traditional exercise stress tests conducted within an MRI machine require patients to lie flat, a position that artificially improves heart function by increasing stroke volume due to gravity-driven blood... Read more
Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
Women with extremely dense breasts face a higher risk of missed breast cancer diagnoses, as dense glandular and fibrous tissue can obscure tumors on mammograms. While breast MRI is recommended for supplemental... Read moreUltrasound
view channel
New Incision-Free Technique Halts Growth of Debilitating Brain Lesions
Cerebral cavernous malformations (CCMs), also known as cavernomas, are abnormal clusters of blood vessels that can grow in the brain, spinal cord, or other parts of the body. While most cases remain asymptomatic,... Read more.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read moreNuclear Medicine
view channel
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read more
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more