RadiologyAcademyMedical EducationOn Demand Request a Meeting All Clinical utility Cost effectiveness of AI Efficiency in radiology Scalability of AI Toggle dropdown Videos filtered by: MRINeurologyOncology Calantic AI Visions | Part 1: Recognizing the Challenges 2024-03-27 In the first section of the AI Visions event, the panel discusses the main challenges facing radiology today and what could... Calantic AI Visions | Part 2: Why Calantic Now? 2024-03-05 In the second section of the AI Visions event, the speakers talk about the potential impact of an AI platform and marketplace... Calantic AI Visions | Part 3: How to Justify AI? 2024-03-27 In the third section of the AI Visions event, the panel discusses how to overcome various challenges when trying to advocate for... Calantic AI Visions | Part 4: The Validation Challenge 2024-03-27 In the fourth and last section of the AI Visions event, the stakeholders speak about the factors that need to be considered in validating... ECR 2022 | AI in Radiology: The Quest for Clinical Curation of Algorithms 2024-03-05 At this Bayer Symposium at ECR 2022, key experts discuss the implications of algorithm curation, the importance of data... How to demonstrate Clinical Utility of AI and can this lead to further successful reimbursements? 2024-03-27 Early diagnosis of a disease may affect treatment options and the patient’s ultimate prognosis. For many diseases, medical imaging... Artificial Intelligence Governance in Radiology and the Considerations for Regulation 2024-03-05 Over a few short years, the presence of artificial intelligence in health care has grown quickly and as a result, considerations for AI... To Pay or Not to Pay for the Artificial Intelligence Applications in Radiology 2024-03-27 Artificial Intelligence-supported digital applications (AI applications) are expected to transform radiology. However, providers... Bias in Machine Learning 2024-03-27 Artificial intelligence has become an interesting topic in radiology, however a sense of ambivalence remains around the process for AI... Video Categories (field_video_categories) AllClinical utilityCost effectiveness of AIEfficiency in radiologyScalability of AI Videos filtered by: MRINeurologyOncology Medical Education On Demand Breadcrumb Home Articles Radiology Academy
Calantic AI Visions | Part 1: Recognizing the Challenges 2024-03-27 In the first section of the AI Visions event, the panel discusses the main challenges facing radiology today and what could...
Calantic AI Visions | Part 2: Why Calantic Now? 2024-03-05 In the second section of the AI Visions event, the speakers talk about the potential impact of an AI platform and marketplace...
Calantic AI Visions | Part 3: How to Justify AI? 2024-03-27 In the third section of the AI Visions event, the panel discusses how to overcome various challenges when trying to advocate for...
Calantic AI Visions | Part 4: The Validation Challenge 2024-03-27 In the fourth and last section of the AI Visions event, the stakeholders speak about the factors that need to be considered in validating...
ECR 2022 | AI in Radiology: The Quest for Clinical Curation of Algorithms 2024-03-05 At this Bayer Symposium at ECR 2022, key experts discuss the implications of algorithm curation, the importance of data...
How to demonstrate Clinical Utility of AI and can this lead to further successful reimbursements? 2024-03-27 Early diagnosis of a disease may affect treatment options and the patient’s ultimate prognosis. For many diseases, medical imaging...
Artificial Intelligence Governance in Radiology and the Considerations for Regulation 2024-03-05 Over a few short years, the presence of artificial intelligence in health care has grown quickly and as a result, considerations for AI...
To Pay or Not to Pay for the Artificial Intelligence Applications in Radiology 2024-03-27 Artificial Intelligence-supported digital applications (AI applications) are expected to transform radiology. However, providers...
Bias in Machine Learning 2024-03-27 Artificial intelligence has become an interesting topic in radiology, however a sense of ambivalence remains around the process for AI...