• From Generative AI to Apple’s Vision Pro - How Digital Innovations Are Revolutionising Healthcare

      A conversation with Harvey Castro, author of "ChatGPT and Healthcare: Unlocking The Potential Of Patient Empowerment," about new technologies, what they mean for healthcare in 2024 and what leaders need to know before they can fully embrace innovation.   Key Points By leveraging the power of generative AI, hospital systems can...

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  • Artificial Intelligence and Healthcare Leadership

      The impact of technology and artificial intelligence (AI) on executive leadership in healthcare is a multifaceted and dynamic subject that has garnered significant attention in recent years. In an interview with CNN in April 2023, Elon Musk warned that artificial intelligence could lead to the destruction of civilisation. What does AI mean for...

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  • Integration of Artificial Intelligence in Healthcare: Understanding Changes and Impact

    Oliver Kimberger, Professor at the Medical University of Vienna, shared his insights with HealthManagement.org, highlighting the evolving relationship between Artificial Intelligence (AI) and the established medical culture. These insights were shared in the context of his session at the 2023 Patient Safety Conference, titled “Culture in organization...

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  • Unveiling Tomorrow: IT’s Pioneering Role in Revitalising Healthcare

    The integration of Information Technology (IT) in the healthcare sector is a beacon of transformation amidst modern challenges. This article illuminates the role of Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and low-code solutions in healthcare. By exploring real-world examples and statistics, we shed light...

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  • Passion-Driven Employees Thanks to Robots and AI

    In today’s evolving workplace, robots and AI are reshaping jobs. While job displacement concerns exist, there’s a remarkable aspect: the potential for passionate employees. Automation of repetitive tasks not only enhances efficiency but also boosts job satisfaction. The benefits include positive interactions, happy employees, and more personalised...

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  • Signal-to-Noise Ratio in Medicine: Leveraging AI to Elevate Care & Job Satisfaction

    In today’s demanding and fast-paced medical environment, physicians are challenged by time constraints, information overload, and waning job satisfaction. Assistive AI technologies offer promising solutions to the signal-to-noise conundrum in medicine.   Key Points The avalanche of clinical and administrative information demands a balance...

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  • Multi-Cancer Early Diagnosis Availability for Patients in Low and Middle-Income Countries

    The scale of destruction wreaked on human life and happiness by cancer hardly needs any illustration. Significant disparities exist between countries, caused primarily by differences in national wealth and income. OncoSeek provides good accuracy in detection and diagnosis and will be a game-changing and life-saving multi-cancer early detection test....

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  • AI in Ultrasound: Can I Trust it?

    Artificial intelligence (AI) has made significant advancements in various fields, including medical imaging, such as ultrasound (US). AI methods can be employed to enhance the analysis and interpretation of ultrasound images. The trustworthiness of AI in ultrasound depends on various factors and AI algorithms should undergo ongoing monitoring and...

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  • In the Age of CO-ERA: How Essential is the Human Role in the New AI World?

    In a world where AI and robotics are reshaping the landscape of healthcare, the need for close collaboration and sharing among healthcare providers, medical device companies, tech startups, patients, payers, and regulatory bodies becomes paramount. By adopting a co-era healthcare approach, where collaboration and collective effort drive innovation,...

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  • AI in Radiology: Realities, Challenges and Perspectives from a Tertiary Cardiac Centre in Greece

    An overview of the digitalisation at Onassis Cardiac Surgery Center in Greece and the application of artificial intelligence (AI) to take advantage of the current realistic opportunities along with future perspectives offered by modern technology. Key Points The use of AI in radiology has led to innovative applications throughout the entire...

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