Latest Articles in Artificial-Intelligence

Machine Learning and Medical Device Regulations

MedTech sector is in the midst of a digital revolution, with AI leading the way. In the tightly regulated realm of MedTech, there's an increasing demand for a well-established regulatory framework that emphasises the equilibrium between innovation and patient safety. Let’s explore the current applications of AI in the MedTech sector, its key...
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The Internet & Rise of AI in CCM: Opportunities, Threats and the Practitioner-Patient Relationship

This article explores how pervasive and persuasive the internet is in current critical care practice, offers insights into how healthcare professionals, patients and families can critically appraise where information comes from and its content producers and discusses the opportunities and threats posed by AI on the physicians/team-patient/family...
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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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Interoperability and Healthcare: Key Aspects, Pitfalls and Evolution

Interoperability outcomes in healthcare refer to improving patient care, reducing medical errors, and increasing efficiency in healthcare delivery by enhancing the necessary coordination of all the agents involved. Key Points Interoperability oriented towards care continuity. Empowerment of the patient over their clinical information....
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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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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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Artificial Intelligence in the ICU

Artificial Intelligence (AI) is making significant strides in healthcare, and its application in critical care is no exception. AI technologies can potentially enhance patient care, improve clinical outcomes, and streamline healthcare operations in the ICU. There are numerous ways in which AI can be effectively utilised in the ICU....
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Towards Artificial Intelligence as a Decision Support Tool to Combat AMR in the ICU

Ongoing research and challenges regarding the use of Artificial Intelligence and Machine Learning to leverage data and identify complex interactions to address antimicrobial resistance in the ICU. The possibilities of artificial intelligence (AI), and more specifically, machine learning (ML), are being researched across almost all domains...
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Why Artificial Intelligence is Not Fixing the Problem of Sepsis in the Hospital

The use of Artificial Intelligence in detecting sepsis, AI prediction/detection models and how these healthcare tools need to complement clinical expertise. The potential of Artificial Intelligence (AI) in healthcare has generated significant excitement and discussion. However, it's important to distinguish between the theoretical...
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