- 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.
New Literature Review Finds ChatGPT Effective in Radiology in 84 Percent of Studies
April 29th 2024While noting a variety of pitfalls with the chatbot ranging from hallucinations to improper citations, the review authors found the use of ChatGPT in radiology demonstrated “high performance” in 37 out of 44 studies.
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.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
