Leading Artificial Intelligence Technology for Advanced Diagnostic Imaging
Sol Radiology combines board-certified, fellowship-trained radiologists with advanced artificial intelligence technologies to support earlier disease detection, improved diagnostic confidence, faster reporting, and exceptional patient care. AI enhances our radiologists' expertise—it never replaces it.
Artificial intelligence is integrated into multiple imaging specialties at Sol Radiology, helping identify subtle findings, prioritize urgent cases, improve workflow efficiency, and support accurate diagnoses.
Our AI solutions assist radiologists by providing an additional layer of clinical support while maintaining the highest standards of physician oversight and patient care.
Automatically identifies urgent and life-threatening findings, helping prioritize critical cases for faster radiologist review.
• AI-assisted case prioritization
• Faster report turnaround
• Earlier intervention
• Improved patient outcome
Supports breast imaging by identifying subtle abnormalities and providing radiologists with a valuable second set of eyes.
• Earlier breast cancer detection
• Improved diagnostic confidence
• AI-assisted mammography review
Provides objective breast density analysis to support personalized screening recommendations.
• Automated breast density assessment
• Personalized screening pathways
• Compliance with breast density notification requirements
Advanced AI for chest CT interpretation.
• Detects lung nodules
• Quantifies emphysema
• Supports lung cancer screening
• HEDIS reporting support
AI-assisted fracture detection and X-ray interpretation.
• Identifies subtle fractures
• Reduces missed findings
• Faster clinical decision-making
Advanced thyroid ultrasound AI.
• Detects thyroid nodules
• Standardized risk assessment
• Improves reporting consistency
Supporting faster, more accurate diagnostic imaging.
A new study published in Radiology found that commercially available AI tools, including Lunit INSIGHT® MMG, generated elevated cancer scores years before diagnosis in women who later developed breast cancer.
At 90% specificity, AI identified 19% to 20% of future breast cancer cases six years before diagnosis, increasing to 35% at two years. These findings suggest AI may provide an earlier alert that supports supplemental imaging and closer evaluation.
A study published in Radiology found that a commercially available deep learning algorithm improved the detection of visible lung cancers on chest X-rays in a large health screening population. The AI helped identify suspicious findings that might otherwise be overlooked, demonstrating its value as a decision-support tool for radiologists. At Sol Radiology, AI serves as an additional set of eyes to support our board-certified radiologists. Every exam is still carefully reviewed by an experienced physician to ensure accurate, timely, and personalized interpretations.
Artificial intelligence enhances the expertise of our board-certified, fellowship-trained radiologists by improving workflow efficiency, identifying subtle findings, prioritizing urgent studies, and supporting timely, accurate diagnostic interpretations.
Our experienced radiologists deliver accurate, timely interpretations while maintaining the highest standards of quality, communication and patient care.
Combining advanced technology with expert radiologists to deliver exceptional diagnostic care.
No. Artificial intelligence (AI) is a tool that supports our board-certified, fellowship-trained radiologists. Every exam is reviewed and interpreted by an experienced physician. AI enhances the diagnostic process but never replaces expert medical judgment.
AI helps identify subtle findings, prioritize urgent cases, improve workflow efficiency, and support faster, more accurate diagnostic interpretations. These tools help our radiologists deliver timely results while maintaining the highest standards of patient care.
Yes. Sol Radiology uses secure, HIPAA-compliant systems to protect patient information. All imaging studies and reports are handled using industry-leading privacy and security standards.
AI technology supports several imaging specialties, including mammography, CT, X-ray, ultrasound, and emergency imaging. Different AI platforms are used depending on the type of exam and clinical need.
AI serves as an additional layer of support for our radiologists by highlighting areas that may require closer review. The final diagnosis is always made by a board-certified, fellowship-trained radiologist.
We invest in advanced AI technology to enhance diagnostic confidence, improve workflow efficiency, support earlier detection of disease, and deliver the highest quality care for our patients and referring providers.

Research published in Radiology suggests AI may identify subtle mammographic changes that support earlier breast cancer detection.
Advanced technology.
Expert radiologists.
Better patient care.
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