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Key Factors to Consider when Selecting the Appropriate AI for Your Medical Facility

Adoption, Education, Strategy & Implementation, System Integration, Technology, UncategorizedAugust 6, 202436Views0Likes0Comments
In the domain of clinical AI, it is essential to understand the pertinent reasons for incorporating AI, rather than solely focusing on the potential benefits. The choice to integrate AI should not be a whimsical decision, but one informed by concrete objectives to address specific issues. Three distinct strategies to consider while integrating AI in…

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Three Insights From Effective Implementations of Stroke CareCo

Adoption, C-Suite, Expert Perspectives, Strategy & Implementation, System Integration, Technology, UncategorizedJuly 23, 202444Views0Likes0Comments
In the high-speed field of stroke care, artificial intelligence (AI) can significantly impact patient results, with Aidoc’s Stroke Care Coordination (CareCo) App being a prime example. The app has transformed stroke care delivery across multiple partner facilities through three key characteristics of its successful implementation - dynamic project champions, establishing clear success metrics, and comprehensive…

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Essentials Queries to Pose to Artificial Intelligence Healthcare Enterprises

AI Trends, aiOS, Education, Patient Management, System Integration, Technology, Uncategorized, WorkflowJuly 2, 202432Views0Likes0Comments
With a multitude of options available, beginning the journey with AI Healthcare Companies can be daunting. These companies promise unique benefits and workflow enhancements by utilizing AI. They cater to various sub-specialties, like surgical robotics, fintech and insurance, diagnostics, cybersecurity, text analysis, and conversational AI/bots. AI holds the promise of improving and quickening clinical workflows,…

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Investigating the Effect of Data Drift on Artificial Intelligence

aiOS, Data Management, Deep Learning, Education, Strategy & Implementation, System Integration, UncategorizedMay 17, 202434Views0Likes0Comments
Data drift is a phenomena that impacts any AI model in current operation. It is essentially a change in the features distribution an AI model receives while it's in production, thereby leading to a decline in the model's performance. A visible impact in imaging AI, for instance, could be an algorithm becoming less reliable at…

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Developing Regulations and Transparency in AI: Insights from the Inside

Data Management, Education, Expert Perspectives, Regulation, System Integration, UncategorizedMay 5, 202437Views0Likes0Comments
Artificial Intelligence (AI) continues to create transformative opportunities in healthcare. However, these innovations also prompt significant questions about regulation, governance, and trust. In the segment of Lessons From the Inside, Sunil Dadlani, a leading figure at Atlantic Health System, shares his insights into these crucial discussions. As both Chief Information and Digital Transformation Officer and…

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The Dilemma of Data Overload: Will AI Sink or Prosper?

aiOS, Data Management, Platform, System Integration, UncategorizedMay 2, 202431Views0Likes0Comments
Today's healthcare landscape is inundated with vast amounts of patient data due to the digitalization of healthcare. However, a large issue exists as much of this data remains unstructured, leading to difficulties in extracting valuable insights. This problem is discussed in detail in the segment of our whitepaper, The Clinical AI Scorecard: How Different Integration…

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Three Key AI Insights from ACC 2024

Coronary Artery Calcification, Education, System Integration, Technology, Uncategorized, WorkflowApril 18, 202441Views0Likes0Comments
The American College of Cardiology’s (ACC) 2024 conference was a buzzing hive of innovation, focusing largely on the impact artificial intelligence (AI) is expected to have on the cardiology field. The discussions demonstrated that understanding AI’s broader potential in healthcare has progressed significantly and is eagerly recognized by cardiologists for its ability to augment treatment…

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The Advantages and Disadvantages of Artificial Intelligence Platforms

aiOS, Education, Orchestration, Platform, Strategy & Implementation, System Integration, UncategorizedApril 12, 202438Views0Likes0Comments
An Artificial Intelligence (AI) platform, also known as an AI operating system, forms a centralized structure for managing and maintaining all AI-related solutions. This platform's creation and maintenance demand initial investments and technical knowledge. However, in the long term, it proves cost-effective and efficient as it acts as the unique access point into systems and…

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