HeartFocus, an AI-enabled heart echo software by medtech firm DESKi, announced the launch of the HeartFocus education app in partnership with digital ultrasound company Butterfly Network.The HealthFocus app aims to raise a health practitioner’s…
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Once the foundation is in place, senior living and post-acute care organizations can move on to optimizing care, which involves determining how to use data analytics and connected care. This is where the organization…
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Health systems that embrace artificial intelligence tools can not only improve radiology operations and quality but patient follow-up as well, which can result in greater staff efficiencies, higher patient completion rates and better access…
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This perspective article explores how process mining can extract clinical insights from mobile health data and complement data-driven techniques like machine learning. Despite technological advances, challenges such as selection bias and the complex dynamics…
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Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions and…
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[
]Two of Buckinghamshire Healthcare NHS Trust’s digital leaders will present their experiences of using Quail (Quality, AI & Learning), an AI-powered tool to analyse patient feedback. Attendees at Rewired 2025 will hear how advanced…
Drug-related errors are a leading cause of preventable patient harm in the clinical setting. We present the first wearable camera system to automatically detect potential errors, prior to medication delivery. We demonstrate that using…
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Alzheimer’s disease (AD) is a global healthcare challenge lacking a simple and affordable detection method. We propose a novel deep learning framework, Eye-AD, to detect Early-onset Alzheimer’s Disease (EOAD) and Mild Cognitive Impairment (MCI)…
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The success of deep learning (DL) relies heavily on training data from which DL models encapsulate information. Consequently, the development and deployment of DL models expose data to potential privacy breaches, which are particularly…
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Privacy and data usage in the age of artificial intelligence are colliding in healthcare where maintaining trust is as essential as advancing patient care. Secure encryption technologies and regulatory guidance can help to ensure…
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