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Adoption

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

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

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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Innovation at the Forefront: Our Dialogue with Jason Hill, MD from Ochsner Health

In our growing healthcare landscape, innovation has transitioned from a buzzword to a crucial aspect in enhancing patient outcomes and operational efficiency. We had an insightful discussion with Jason Hill, MD, Innovation Officer at Ochsner Health, on his guiding principles, philosophies about AI, and its impact on care delivery. We discussed various aspects of AI…

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“Dreams and Duct Tape: The Practical Implementation of AI in Real-World Scenarios”

The author, a radiologist for one of the top Artificial Intelligence (AI) companies, Aidoc, discusses the challenges of implementing AI algorithms in radiology departments. The author uses the analogy of their past experiences repairing motorcycles to explain how deploying AI in healthcare settings often involves a collage of makeshift solutions reminiscent of duct tape, rather…

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The Actualities of Implementing Artificial Intelligence Outside the Lab: The Role of Duct Tape and Aspirations

The following article details the author's experience of working at Aidoc, a leading medical AI company, despite lacking a detailed understanding of software engineering, data security, and AI, drawing parallels between his experience repairing old motorcycles and developing and deploying AI algorithms in medical settings. The author introduces the topic by confessing his lack of comprehensive…

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Why is it Essential for Radiology Departments to Implement AI Platforms?

The importance of artificial intelligence (AI) in clinical settings has grown significantly, sparking discussions on best practice for AI governance structures and identifying key stakeholders in building a long-lasting AI strategy. Specifically, radiologists have been at the forefront of embracing AI, acknowledging the potential it holds to transform their workflows, such as reducing reading times…

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Summary of UKIO 2024: A Discussion With Mike Burns and AXREM on AI’s Role in Shaping the Future of Health Sector

The Aidoc team recently participated in the UK's largest radiology event, the UKIO 2024 conference in Liverpool. The event served as a significant platform for industry leaders, healthcare professionals, and technology enthusiasts to engage in meaningful discussions on the role of technologies like Aidoc’s AI in assisting UK radiologists to overcome key challenges such as…

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UKIO 2024 Summary: Discussions with Mike Burns and AXREM on the Role of AI in Future Health Services

The Aidoc team from the United Kingdom's (UK) largest radiology conference, the UK Imaging and Oncology (UKIO) 2024, held in Liverpool, shared their experiences and insights into the significant role of AI in the field of radiology. The event attracted industry pioneers, healthcare professionals, and technology innovators who explored the potential of solutions like Aidoc's…

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The Significance of Artificial Intelligence in Health Care Services

AI in healthcare isn’t about replacing human doctors but about augmenting their abilities, like the synergy between Luke Skywalker and R2D2 in Star Wars. Rather than extra 'boots on the ground,' AI serves as extra 'circuits on the ground,' helping clinicians navigate obstacles in patient care swiftly and efficiently. AI has come a long way since…

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AI Implementation in Healthcare: An Exploration, Understanding and Application Journey

The use of Artificial Intelligence (AI) in healthcare started as early as the 1970s, but its significant transformative power was only widely recognized in the last decade. The scope and capabilities of AI is being pushed and innovated by numerous players in the healthcare sector. Despite the promising advances, spectators are questioning the true impact…

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Transition from Governance to Caregiving: The Interdisciplinary Approach and the Influence of AI in Healthcare.

The changing nature of the regulatory environment for clinical AI presents unique challenges for leaders in the healthcare sector. As healthcare systems look to adopt and implement AI responsibly, a range of regulatory compliance issues have come to the fore, bringing with them the need for effective internal governance structures. The application of AI in…

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