Researchers from Indiana University have created an algorithm that helps clinicians search through patient data from health information exchanges and other sources. The tool identifies the most relevant data for a given visit such…
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Mark Coetzer, VP of Business Development, IMAT Solutions
Artificial intelligence (AI) continues to hold the spotlight in healthcare transformation, promising everything from predictive care to streamlined administrative processes. Visionary use cases include anticipating patient deterioration,…
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As complex AI systems become more common in clinical decision-making, a new type of physician-data science specialist is needed to bridge the gap between these AI tools and practicing clinicians. Analogous to how clinical…
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Personalising psychotherapies for depression may enhance their efficacy. We conducted a randomised controlled trial of smartphone cognitive-behavioural therapy (CBT) among 4,469 adults in Japan (RESiLIENT trial, UMIN-CTR UMIN000047124). Participants received one of nine CBT…
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Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies using 21,934 liver ultrasound images from 11,960 patients…
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Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance…
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The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. In response, we developed a Collaborative One-shot Lossless Algorithm…
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Artificial intelligence (AI) is already having a significant impact on healthcare. For example, AI-guided imaging can improve the diagnosis/treatment of vascular diseases, which affect over 200 million people globally. Recently, Chiu and colleagues (2024)…
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Image Credit: Philips Cardiac Workstation
What You Should Know:
– Philips announced the launch of the Philips ECG AI Marketplace, a new platform that provides cardiac care teams with a central location to access multiple vendor…
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Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. However, patient privacy concerns only limit the sharing of patient-level data, and traditional federated learning algorithms,…
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