Publications by authors named "I Edes"

Introduction: The integration of AI into healthcare is widely anticipated to revolutionize medical diagnostics, enabling earlier, more accurate disease detection and personalized care.

Methods: In this study, we developed and validated an AI-assisted diagnostic support tool using only routinely ordered and broadly available blood tests to predict the presence of major chronic and acute diseases as well as rare disorders.

Results: Our model was tested on both retrospective and prospective datasets comprising over one million patients.

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Article Synopsis
  • - The study investigates the effectiveness of different balloon treatments after rotational atherectomy (RA) for calcified coronary lesions, focusing on whether modified balloons (MB) improve outcomes compared to plain balloon angioplasty (BA).
  • - A meta-analysis of nine studies involving 1,024 patients found no significant differences in major adverse cardiovascular events, all-cause mortality, or target lesion revascularization between the RA + BA and RA + MB groups overall.
  • - However, the analysis revealed that for patients with severely calcified lesions, the RA + MB group experienced significantly fewer major adverse cardiovascular events without increasing procedural complications.
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Background Coronary artery calcium (CAC) has prognostic value for major adverse cardiovascular events (MACE) in asymptomatic individuals, whereas its role in symptomatic patients is less clear. Purpose To assess the prognostic value of CAC scoring for MACE in participants with stable chest pain initially referred for invasive coronary angiography (ICA). Materials and Methods This prespecified subgroup analysis from the Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease (DISCHARGE) trial, conducted between October 2015 and April 2019 across 26 centers in 16 countries, focused on adult patients with stable chest pain referred for ICA.

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Article Synopsis
  • The text discusses the ethical challenges in post-resuscitation medicine, particularly regarding the complex decision of withdrawing life-sustaining treatment, which involves collaboration between the treatment team and the patient's family.
  • It outlines a systematic review and meta-analysis aimed at evaluating various prognostic scoring systems used to predict neurological and mortality outcomes in patients who have experienced out-of-hospital cardiac arrest (OHCA).
  • The results identified 51 appropriate studies, with specific scoring systems (like CAHP and OHCA) showing good performance in predicting patient outcomes, evidenced by area under curve (AUC) values that indicate their accuracy.
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Cardiogenic shock (CS) in acute coronary syndrome (ACS) is a critical disease with high mortality rates requiring complex treatment to maximize patient survival chances. Emergent coronary revascularization along with circulatory support are keys to saving lives. Mechanical circulatory support may be instigated in severe, yet still reversible instances.

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