- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA Clears AI-Powered Digital Cytology Platform for Cervical Cancer
Combining advanced volumetric imaging technology with deep learning, the Genius Digital Diagnostics System has reportedly shown a 28 percent reduction in false negatives for high-grade squamous intraepithelial lesions and other severe lesions in comparison to microscopic review.
The Food and Drug Administration (FDA) has granted 510(k) clearance to the Genius Digital Diagnostics System, an artificial intelligence (AI)-enabled digital cytology platform that may facilitate enhanced sensitivity for early diagnosis of cervical cancer.
While traditional cervical cancer screenings have involved microscopic review of samples from Pap smear testing, the Genius Digital Diagnostics System facilitates digital image review of these samples with a Genius Cervical AI algorithm that alerts clinicians to suspicious cells for further review, according to Hologic, the developer of the Genius Digital Diagnostics System.
Combining deep learning capability with advanced volumetric imaging technology, the Genius Digital Diagnostics System may facilitate earlier diagnosis of cervical cancer. (Image courtesy of Hologic.)
In comparison to microscopic review of Pap smear testing, Hologic noted that research has demonstrated a 28 percent reduction in false negatives for high-grade squamous intraepithelial lesions and other severe lesions with the Genius Digital Diagnostics System.
“Our technologies have had a tremendous impact on decreasing cancer rates in women, and we are incredibly excited by the promise of Genius Digital Diagnostics. The system delivers more actionable and accurate insights for laboratories and healthcare professionals to enhance patient care,” said Jennifer Schneiders, Ph.D., the president of diagnostic solutions at Hologic.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Improving Adherence to Best Practices for Incidental Abdominal Aortic Aneurysms on CT and MRI
November 5th 2024In recent interviews, Eric Rohren, M.D., and Krishna Nallamshetty, M.D., discuss the potential of abdominal aortic aneurysms (AAAs) to progress into life-threatening consequences and an emerging AI-powered tool that may bolster adherence to best practice recommendations in radiology reporting of incidental AAA findings on CT and MRI.
