AI Can’t Just Work—It Has to Fit: Rethinking Radiology AI for Seamless Integration | #43 скачать в хорошем качестве

AI Can’t Just Work—It Has to Fit: Rethinking Radiology AI for Seamless Integration | #43

In Episode #43 of Unboxing AI, Dr. Namita Gandhi, Vice Chair of Imaging Informatics at Cleveland Clinic, joins Vidur Mahajan to discuss the real challenges and opportunities of AI in radiology. From tackling bias in algorithms to the logistical hurdles of AI adoption, Dr. Gandhi shares her unique perspective as both a radiologist and an informatics expert. Key discussion points include: ● Why AI adoption in radiology is slower than expected and what needs to change. ● The bias problem in AI—how human-AI interaction influences decision-making. ● Why some radiologists embrace AI while others resist it. ● The challenge of proving AI’s ROI when efficiency gains are hard to measure. ● How workflow integration and reducing radiologists’ cognitive load is key to AI success. ● Future trends in multimodal AI models and their role in contextualizing findings. 🤩 Ready to dive deeper into AI in radiology? Register for our next webinar to interact with our speaker and gain the latest insights: https://zoom.us/webinar/register/WN_z... Join our Unboxing AI LinkedIn community to engage in meaningful conversations about AI and radiology:   / 9808825   #UnboxingAI #AI #Radiology #HealthcareInnovation #MedicalImaging #AIIntegration #BiasInAI