New search engine optimized for electronic teaching files debuts
A prototype search engine uses advanced content-specific algorithms to efficiently search databases of image files contained in public Medical Imaging Resource Center storage servers. The search engine was developed as a joint project between the Baltimore VA Medical Center and the University of Maryland. The prototype is the alpha version of a vertical search engine designed to match users with radiology-specific content.
A prototype search engine uses advanced content-specific algorithms to efficiently search databases of image files contained in public Medical Imaging Resource Center storage servers. The search engine was developed as a joint project between the Baltimore VA Medical Center and the University of Maryland. The prototype is the alpha version of a vertical search engine designed to match users with radiology-specific content.
Popular search engines cannot provide comprehensive compilations of teaching files in MIRC sites or other radiology information sites that contain case examples. Teaching files are "hidden" from a typical search engine because they are located behind pages of fill-in-the-blank forms.
GoogleMIRC has the ability to obtain and index online storage teaching files located behind these forms. This Web crawler also protects itself from dynamic content, advertisements, and unwanted downloads. Its crawler speed is 1.5 pages per second.
GoogleMIRC provides a portal for searching for specific pages, using a complex algorithm to determine whether each case is relevant. The search engine currently uses 13 servers. In demonstrations at the Lakeside Learning Center, it outperformed commercial search engines by a significant margin.
Can MRI-Based AI Bolster Biopsy Decision-Making in PI-RADS 3 Cases?
December 9th 2024In patients with PI-RADS 3 lesion assessments, the combination of AI and prostate-specific antigen density (PSAD) level achieved a 78 percent sensitivity and 93 percent negative predictive value for clinically significant prostate cancer (csPCa), according to research presented at the Radiological Society of North American (RSNA) conference.
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.
RSNA 2020: Addressing Healthcare Disparities and Access to Care
December 4th 2020Rich Heller, M.D., with Radiology Partners, and Lucy Spalluto, M.D., with Vanderbilt University School of Medicine, discuss the highlights of their RSNA 2020 session on health disparities, focusing on the underlying factors and challenges radiologists face to providing greater access to care.
New Interventional Radiology Research Shows Merits of Genicular Artery Embolization for Knee OA
December 3rd 2024In a cohort of over 160 patients with knee osteoarthritis (OA), including grade 4 in nearly half of the cases, genicular artery embolization led to an 87 percent improvement in the quality of life index, according to research presented at the recent RSNA conference.
Siemens Healthineers Debuts New Photon-Counting CT Systems at RSNA
December 2nd 2024Debuting at the Radiological Society of North American (RSNA) conference, the new photon-counting computed tomography (PPCT) scanners Naeotom Alpha.Pro and Naeotom Alpha.Prime reportedly combine rapid scan times with high-resolution precision.
