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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Long COVID poses a significant disease burden globally, but its heterogeneous presentation and unreliable coding practices render it difficult to study. Developing efficient phenotyping algorithms is crucial to enabling risk prediction and effective management…
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Human skin tone is influenced by genetic, environmental, and cultural factors and plays a key role in dermatology due to variation in disease presentation across skin tones. The widely used Fitzpatrick scale, based on…
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Processes to assure the safe, effective, and responsible deployment of artificial intelligence (AI) in safety-critical settings are urgently needed. Here we show a procedure to empirically evaluate the impacts of AI augmentation as a…
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A new algorithm-based biological ageing clock developed in Singapore has shown potential to better predict mortality and health outcomes by only using clinical data. Researchers from the National University of Singapore’s Yong Loo Lin School…
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Source Credit: Boehringer Ingelheim & Eko Health
What You Should Know:
– Boehringer Ingelheim, a global leader in animal health, and Eko Health, a pioneer in applying artificial intelligence (AI) for early disease detection, have announced…
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Revolutionary AI Technology Launches in Healthcare
GE HealthCare has revolutionized interventional radiology with the launch of CleaRecon DL, an advanced artificial intelligence technology that dramatically improves cone-beam computed tomography (CBCT) image quality. This groundbreaking deep-learning…
This study introduces Glucose Level Understanding and Control Optimized for Safety and Efficacy (GLUCOSE), a distributional offline reinforcement learning algorithm for optimizing insulin dosing after cardiac surgery. Trained on 5228 patients, tested on 920,…
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