Tag: teleradiology innovation

Powering Quality and Efficiency Through AI

Elevating Radiology. Expanding Access. Enhancing Care.

Vesta Teleradiology is redefining radiology delivery by integrating artificial intelligence (AI) into our diagnostic and operational workflows – helping hospitals of every size achieve higher quality, faster turnaround, and greater consistency in patient care.

Through our newly launched partnerships with Qure.ai and Carpl.ai, Vesta is bringing the benefits of AI assisted imaging to both large health systems and rural or underserved communities across the nation. This innovation enhances the speed, accuracy, and accessibility of radiology services – ensuring clinical excellence reaches every patient, everywhere.

AI Partnerships Driving Clinical Quality and Efficiency

Vesta now integrates Qure.ai’s FDA cleared AI solutions directly into our reading workflow to support both CT and X-ray imaging. For CT Brain (Non-Contrast), the AI automatically detects intracranial hemorrhages, fractures, and mass effect to improve triage and accelerate emergency response times. For Chest X-rays, it identifies nodules, effusions, and acute pulmonary findings to strengthen diagnostic consistency and enable earlier intervention. These tools work as a co-pilot for radiologists – helping prioritize critical studies, standardize interpretations, and deliver higher-quality reports with precision and speed.

Vesta also leverages Carpl.ai’s enterprise grade AI platform for musculoskeletal (MSK) fracture detection, enabling faster identification of subtle skeletal injuries that are often missed under high volume workloads. This integration enhances both radiologist efficiency and patient safety by improving consistency, turnaround times, and workflow throughput.

Expanding AI Across Vesta’s Clinical and Operational Ecosystem

In addition to our partnerships with Qure.ai and Carpl.ai, Vesta continues to implement AI across the organization to enhance both clinical quality and operational efficiency. Through RadPair, Vesta improves dictation accuracy, peer review workflows, and reporting analytics for radiologists – driving consistency and precision across the reading process.

On the operations side, Vesta has developed and launched an AI based support platform that allows staff to instantly retrieve internal protocols, radiologist schedules, credentialing data, and study specialty details from a centralized location. These tools streamline communication, improve turnaround time, and strengthen coordination across departments – supporting faster, more efficient service for clients and radiologists alike.

AI with a Purpose: Clinical Quality Care for All

Vesta’s mission has always been clear – to combine technology, compassion, and clinical excellence to improve access to quality radiology care. By implementing these AI partnerships and innovations, we’re ensuring faster turnaround for emergent and high acuity studies, improved diagnostic accuracy through validated AI support, greater access for rural and underserved hospitals, and consistent quality across every facility, 24/7/365.

These advancements reaffirm Vesta’s leadership as a trusted partner in AI driven radiology innovation, bringing cutting edge technology to the frontlines of patient care while optimizing the systems that support it.

About Vesta Teleradiology

Vesta Teleradiology is a Joint Commission-Accredited, 24/7/365 radiology provider serving hospitals, imaging centers, and healthcare systems nationwide. Our team of board-certified radiologists delivers timely, accurate, and secure interpretations – now further enhanced by AI technology to support faster decisions, higher quality, and better outcomes.

Interested in learning how Vesta’s AI powered radiology can support your hospital or health system?
Contact us at info@vestarad.com or visit www.vestarad.com/contact to schedule a demo or consultation.

Attribution:
Vesta Teleradiology integrates third party AI technologies through collaborations with Qure.ai, Carpl.ai, and RadPair. Descriptions of imaging and workflow capabilities in this publication are based on publicly available clinical use cases and are provided for informational purposes only. All content and messaging on this page are original to Vesta Teleradiology.

Precision Imaging at RSNA 2025: Radiomics, Biomarkers, and the Era of Multi-Omics Integration

As radiology moves deeper into the era of precision medicine, quantitative imaging is transforming from a promising research tool to a clinical driver of individualized care. The convergence of radiomics, imaging biomarkers, and multi-omics integration represents one of the most exciting frontiers showcased under RSNA 2025’s theme, “Imaging the Individual.”

Radiomics — the extraction of high-dimensional quantitative features from medical images — allows the characterization of tissue heterogeneity beyond what can be perceived visually. These features, derived from modalities such as CT, MRI, or PET, have been linked to tumor phenotype, gene expression, and therapeutic response across oncology, neurology, and cardiology studies (Springer, 2024).

Imaging Biomarkers in Practice

Validated imaging biomarkers are redefining how clinicians stratify patients, monitor disease, and predict outcomes. Quantitative features from radiomics pipelines can act as noninvasive surrogates for histopathologic or molecular data, guiding therapy selection and prognosis assessment. For instance, radiomic signatures have shown potential in predicting response to immunotherapy and correlating with tumor-infiltrating lymphocytes in non-small cell lung cancer (ScienceDirect, 2020).

In cardiovascular and neuroimaging applications, biomarkers derived from texture and perfusion patterns are being explored to detect subclinical disease, assess ischemic risk, and evaluate treatment efficacy. The promise lies in moving from population averages toward individualized predictions based on each patient’s unique imaging phenotype.

Radiogenomics and Multi-Omics Integration

The next step in precision imaging is radiogenomics — linking imaging phenotypes with genomic and proteomic data to uncover biologically meaningful correlations. Integrating imaging with multi-omics datasets enables the creation of comprehensive disease models that reflect both spatial and molecular dimensions.

Recent reviews highlight the potential of AI-driven multi-omics integration to refine cancer subtyping, prognostication, and therapeutic decision-making (British Journal of Radiology, 2025) and (ScienceDirect, 2025). Federated approaches and multi-modal AI models are emerging to harmonize these heterogeneous datasets while preserving privacy and reproducibility.

Projects such as NAVIGATOR, a regional imaging biobank integrating multimodal imaging with molecular and clinical data, illustrate how research infrastructure is catching up to these ambitions (European Journal of Radiology, 2025).

From Quantitative Imaging to Clinical Translation

Despite the promise, clinical translation remains the critical frontier. Feature reproducibility, acquisition standardization, and regulatory validation continue to challenge adoption (Insights into Imaging, 2020). However, the increasing presence of quantitative imaging biomarkers in prospective trials, along with support from the Quantitative Imaging Biomarkers Alliance (QIBA) and FDA’s digital health framework, signals that this research is crossing the threshold into practice.

At RSNA 2025, expect sessions emphasizing standardization of radiomics workflows, reproducibility metrics, and AI-assisted integration of multi-omics data. Discussions will likely center on how to validate imaging biomarkers in multi-institutional settings and what infrastructure is required for clinical scalability.

The Role of Teleradiology in Precision Imaging

For teleradiology providers like Vesta, these developments offer both opportunity and responsibility. The same digital infrastructure that enables subspecialty coverage across time zones can support quantitative image analysis, data harmonization, and longitudinal tracking — essential foundations for radiomic and biomarker validation.

By aligning with quantitative imaging standards and collaborating with research institutions, teleradiology networks can help bring precision imaging insights into real-world practice — from oncology to cardiovascular disease management.

Precision imaging is not a distant future — it’s the next evolution of radiology happening now.


 At RSNA 2025, Vesta will be on site to explore how radiomics, biomarkers, and AI-driven data integration are redefining what it means to truly “image the individual.”