Case Studies - CARPL.ai

From Friction to Flow: Why the “Zero-Click AI” Radiology Workflow is the New Standard

In the high-pressure environment of the modern radiology world, every second counts. Traditional AI integration often forces radiologists to leave their primary workspace, adding "Toggles" and “Clicks” that disrupt focus. At CARPL.ai, we eliminate this friction with the CARPL Widget - a seamless, "Zero-Click" solution for real-time AI consumption.

Navigating the New Regulatory Reality for AI in Radiology

Written by Dhruv Sahai, Chief Operating Officer, CARPL.ai If you build, buy, deploy, or regulate AI in radiology, 2025 was the year the conversation stopped being philosophical and became operational. Regulators did not “discover” AI. Regulators started asking for proof that you can control it across the full product life, not just at launch.

Orchestration and Trust: The Essential Role of Platforms in Widespread Abdominal AI Adoption

CARPL was delighted to host a truly insightful panel discussion on the evolving landscape of Artificial Intelligence (AI) in abdominal imaging, exploring why this complex area has been historically underserved and highlighting the significant opportunities for measurable value.

Drive ROI by AI enabled PACS

Radiology departments are drowning in scans, and radiologists are stretched to their limits. Buying multiple point solutions just adds friction, more contracts, more integrations, and more radiologist training - something they don’t have time for. What if your PACS could double down as your AI platform?

Pre-Deployment Validation of Radiology AI: How CARPL Makes it Simple

Radiology AI has great promise, but published studies and regulatory approvals like FDA and CE don’t always reflect real-world performance. Algorithms that work

Lung cancer screening radiology AI platform

Enhancing Lung Cancer Screening with AI: From Detection to Diagnosis

Australia’s launch of a National Lung Cancer Screening (NLCS) Program in July 2025 marks a turning point in the country’s fight against its leading cause of cancer death. With early-stage detection rates historically low, the program targets high-risk populations with low-dose CT (LDCT) scans to catch cancers earlier - when they’re more treatable.

Radiologist using the platform approach.

Building a Future-Ready Imaging Department: The Case for AI Platforms

Radiology AI holds the promise of transforming imaging departments, but most hospitals are still stuck at the starting line. Healthcare systems want to adopt AI but simply don’t know how to start. Despite the growing interest, actual implementation remains near zero.

No longer an “if” - AI in Healthcare at HIMSS’25

CARPL.ai was beyond excited to attend the HIMSS conference 2025, and when we say everyone was talking about AI, we mean it. We witnessed a clear move from theoretical conversations about AI applications to discussions about real-world execution. AI adoption is no longer a question of "if" but "how and when." Healthcare providers are actively integrating AI-driven solutions to enhance diagnostics, improve patient flow management, and boost operational productivity.

Monitoring Radiology AI Performance Over Time

The adoption of artificial intelligence (AI) in radiology has significantly transformed the field, improving clinical and operational efficiency and enhancing diagnostic accuracy. However, as AI models are increasingly integrated into clinical practice, the need for ongoing, robust performance monitoring becomes critical. Monitoring ensures that AI systems remain reliable and effective, safeguarding patient outcomes over time.

How AI is Revolutionizing Diagnosis, Efficiency, and Global Healthcare Access

Artificial Intelligence (AI) is transforming the field of radiology, offering opportunities to improve diagnostic accuracy, optimize workflows, and confront the global shortage of radiologists. The global market for AI in healthcare, and radiology specifically, is on an accelerated growth trajectory, estimated at USD 19.27 billion in 2023 and is expected to grow at a CAGR of 38.5% from 2024 to 2030. This expansion is driven by several factors: the increasing patient demand, the surge in medical imaging studies, and the critical need to address the shortage of radiologists.

Speeding up pediatric AI CXR Validation at DASA, Brazil

Speeding up pediatric AI CXR Validation at DASA, Brazil About the Customer DASA, headquartered in Sao Paolo, Brazil, is the 4th largest diagnostics company in…

Real-time validation of AI in production

Real-Time Validation Of AI In Production Note: The images used below are for representational purposes only About the Customer Qure.ai is the world’s leading developers of…

Thomas Jefferson University uses CARPL for testing and deploying AI algorithms

Thomas Jefferson University Uses CARPL For Testing And Deploying AI Algorithms RSNA AI Theatre 2021 Dr. Paras Lakhani, the pioneer of radiology AI, from Thomas…

CARPL Teleradiology Applications

CARPL Teleradiology Applications CARPL.Mail This app enables you to E-Mail Patient’s DICOM Data faster and in more efficient way. You do not have to manually…

How to build an AI that works? (and get paid!!)

How To Build An AI That Works? (And Get Paid!!) IRIA -ICRI webinar series — Part 2 This is a commentary of the IRIA- ICRI…

What do AI tech companies want from radiologists? (other than buying their products) — A Radiologist’s understanding!

What Do AI Tech Companies Want From Radiologists? (Other Than Buying Their Products) — A Radiologist’s Understanding! Commentary on IRIA-ICRI webinar series on AI in…

India’s Solution to the Coronavirus Pandemic lies in Local Partnership and Global Collaboration

India’s Solution To The Coronavirus Pandemic Lies In Local Partnership And Global Collaboration The fastest way to help India survive the COVID-19 pandemic involves building…

The Right Choice: AI to drive the future of Indian healthcare according to GOI budget

The Right Choice: AI To Drive The Future Of Indian Healthcare According To GOI Budget Emphasis on artificial intelligence (AI) for healthcare proves that the…

AI in radiology: Where are we today?

AI In Radiology: Where Are We Today? Dr. Mahajan began the panel discussion on ‘Artificial intelligence in radiology: Where are we today?’ by asking the…

Panel discussion on How can radiologists stay relevant in the current day and age? | RAD2024

Panel Discussion On How Can Radiologists Stay Relevant In The Current Day And Age? | RAD2024 Video Link: https://vimeo.com/350234491 Digital Partner: Carestream Panelists: Harsh Mahajan,…

Panel discussion on Artificial intelligence in radiology: Where are we today? | RAD2024

Panel Discussion On Artificial Intelligence In Radiology: Where Are We Today? | RAD2024 Video Link: https://vimeo.com/350235602 Digital Partner: Carestream Panelists: Dr Vidur Mahajan, Associate Director,…

AI will NOT replace radiologists - Dr Vasantha Venugopal

AI Will NOT Replace Radiologists - Dr Vasantha Venugopal Dr Vasantha Venugopal, Imaging Lead, Caring, Mahajan Imaging, analyse on the claims from AI developers that threaten to…

AI will replace radiologists - Dr Vidur Mahajan

AI Will Replace Radiologists - Dr Vidur Mahajan Dr Vidur Mahajan, Associate Director, Mahajan Imaging, Head (R&D), CARING Any discussion around replacement of any ‘profession’ requires detailed…

AI in radiology: Clinical perspective

AI In Radiology: Clinical Perspective AI is said to hold great potential in shaping the future of diagnostic imaging. Dr Vasantha Venugopal, Imaging Lead, Caring,…

Current state of AI in radiology

Current State Of AI In Radiology Dr Vidur Mahajan, Associate Director, Mahajan Imaging, mentions that the day is not far when software algorithms would assist…

Cardiac PET helps assess revascularization benefits

Cardiac PET Helps Assess Revascularization Benefits By Wayne Forrest, AuntMinnie.com staff writer CHICAGO – By performing myocardial perfusion imaging (MPI) with cardiac FDG-PET before revascularization, clinicians…

Dawn Of An AI Era?

Dawn Of An AI Era? Healthcare sector is welcoming machine learning as it ushers accuracy and better predictive decisions. Mansha Gagneja catches up with Dr Vidur Mahajan, Associate…

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