CARPL is a company focused on artificial intelligence and machine learning in the automotive industry. The company provides AI solutions for autonomous driving, predictive maintenance, and vehicle safety systems.

CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. 

CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows.

We are the world’s largest radiology AI marketplace offering 100+ applications from 45+ AI vendors.

CARPL - Radiology AI Platform

📢 At its core, CARPL - Radiology AI Platform is a clinical technology platform, and having the best radiologists on the planet guiding us through this journey is critical.

We are proud to announce that Dr. Vijay Rao, Professor of Radiology and Senior Vice President of Enterprise Imaging at Jefferson Health, is joining CARPL's advisory board. Dr. Rao is an icon in the field of radiology and has served as the President of the Radiological Society of North America (RSNA)—the world's leading body of radiologists.

We look forward to learning from Dr. Rao as we build the world's safest and most effective AI testing, deployment, and monitoring platform for radiology applications. 🚀

#MakingAIReal #RadiologyAutomationSimplified #RadiologyAI #Announcement

🔙✨ Throwback to the vibrant moments at the Indian Radiological & Imaging Association #IRIA Conference!

As the 76th Annual Conference unfolds, witnessing the remarkable growth is truly inspiring. IRIA has always been the epicenter for leaders and innovators in India to converge, share insights, and envision the future of imaging.

Cheers to the memories that fuel our dedication to advancing the world of imaging through AI! 🌐🚀

Shoutout to our fellow pioneers in the journey- Aikenist Technologies, BrainSightAI, Biocliq AI, DeepTek, Qure.ai, and Manentia AI.

#MakingAIReal #RadiologyAutomationSimplified #RadiologyAI

The latest guidelines published in the #radiology AI journal are creating a buzz in #radiologyai circles! 📈

It is always rewarding to know that our customers and users appreciate having us by their side to ensure compliance with these guidelines.

"I am happy that at RADICLE we already use CARPL for AI testing, deployment, and monitoring which ensures that not only do we stick to these recommendations, but also go beyond them.”

~ Leonardo Kayat Bittencourt, MD. 

University Hospitals, University Hospitals Radiology AI & Diagnostic Innovation Collaborative (RadiCLE).

American College of Radiology, Canadian Association of Radiologists, European Society of Radiology, The Royal Australian & New Zealand College of Radiologists (RANZCR), and Radiological Society of North America (RSNA).

#MakingAIReal #RadiologyAutomationSimplified

Earlier this month, Dr. Vidur Mahajan, CEO of CARPL.ai, served as a featured panelist at the Annual Global Healthcare Summit 2024, alongside Dr. T. V. Devarajan, Dr. Anurag Agrawal, and Dr. Krithika Rangarajan.

The panel focused on the theme 'Cutting Edge in Healthcare and Artificial Intelligence,' during which he shared insights into the feasibility of using AI in radiology and its significant impact on improving clinical outcomes.

Exciting times lie ahead as we continue to deploy CARPL.ai and contribute to patient care globally! 🚀

AAPI American Association of Physicians of Indian Origin, All India Institutes of Medical Sciences (AIIMS), New Delhi, CSIR-IGIB, Apollo Hospitals, Ashoka University.

Earlier last year, Mitchell Goldburgh, Senior Director - Industry Solutions at NTT DATA USA, and Dr. Vidur Mahajan, Chief Executive Officer at CARPL.ai talked about the transformative impact of artificial intelligence on the field of radiology, enhancing patient outcomes and streamlining workflows.

Gain insights into the challenges of adopting AI, the importance of validation, and the return on investment (ROI) associated with implementing AI solutions. 🔬📈

Watch the full video here🔗https://lnkd.in/gk6NTBja

#MakingAIReal #RadiologyAutomationSimplified

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