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The Road to Robust and Automated Strain Measurements in Echocardiography by Deep Learning.
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Characteristics, outcomes and the necessity of continued guideline-directed medical therapy in patients with heart failure with improved ejection fraction.
Much remains to be learned about patients with heart failure with improved ejection fraction (HFimpEF). This study sheds light on the characteristics and clinical outcomes of HFimpEF patients, including the consequences of halting guideline-directed medical therapy (GDMT). This retrospective study was conducted on patients diagnosed with heart failure with reduced ejection fraction (HFrEF) who und…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Opportunistic Cardiovascular Risk Assessment Using Routine Head CT in the Emergency Department.
Routine noncardiac computed tomography (CT) imaging may contain information about cardiovascular risk. Head computed tomography (CTH) is among the most common imaging studies, conducted annually in millions of patients. Its utility for cardiovascular risk assessment has not been studied. The purpose of this study was to develop and validate deep learning models for predicting incident cardiovascul…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Prevalence of Hypertrophic Cardiomyopathy in the UK Biobank Population.
This cohort study examines the prevalence of hypertrophic cardiomyopathy in the UK Biobank population.
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Efficacy, Safety and Mechanistic Impact of a Heart Failure Guideline-Directed Medical Therapy Clinic.
Although clinical evidence supports rapid institution of guideline-directed medical therapy (GDMT) for heart failure (HF), in actual practice, there remain large gaps in adherence to guideline recommendations. Recent data support safety and efficacy of rapid GDMT implementation; however, rapid GDMT deployment within a general cardiology environment remains unexplored. The purpose of this study was…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Reimagining chronic total occlusion management interventions: the role of artificial intelligence in imaging, planning, and procedural guidance.
Chronic Total Occlusions (CTOs) remain among the most complex lesions encountered in percutaneous coronary intervention (PCI), presenting significant technical and clinical challenges due to ambiguous vessel anatomy, lesion heterogeneity, and high operator variability. Although recent advancements in interventional techniques have improved success rates, procedural outcomes remain variable. The in…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Super-Resolution Deep Learning Reconstruction for Coronary CT Angiography: Coronary Stenosis Assessment and CAD-RADS Reclassification.
Background A novel super-resolution deep learning reconstruction (SR-DLR) algorithm, trained using data acquired with ultra-high-resolution CT, can potentially enhance spatial resolution in coronary CT angiography (CCTA), improving stenosis assessment; however, evidence is limited. Purpose To compare the performance of SR-DLR versus hybrid iterative reconstruction (HIR) in assessing coronary steno…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification.
Deep learning enables automatic and robust extraction of cardiac function descriptors from echocardiographic sequences, such as ejection fraction (EF) or strain. These descriptors provide fine-grained information that physicians consider, in conjunction with more global variables from the clinical record, to assess patients' condition. Drawing on novel Transformer models applied to tabular data, w…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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A deep learning approach with temporal consistency for automatic myocardial segmentation of quantitative myocardial contrast echocardiography.
Quantitative myocardial contrast echocardiography (MCE) has been proved to be valuable in detecting myocardial ischemia. During quantitative MCE analysis, myocardial segmentation is a critical step in determining accurate region of interests (ROIs). However, traditional myocardial segmentation mainly relies on manual tracing of myocardial contours, which is time-consuming and laborious. To solve t…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」
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An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria.
The Echocardiography Appropriate Use Criteria (EAUC) are a set of indications for transthoracic echocardiography (TTE) developed to guide physician decision making around ordering of TTE. In this study, an automated rule-based method for processing "indications" listed within TTE reports and classification into one of the major EAUC categories was developed and validated against a clinician-annota…
💬 論文と壁打ち β 残り 3 / 3 回 (今日)Abstract の内容だけを根拠に答えます。医療助言はしません。abstract に無い事実は「記載なし」と返します。質問例: 「要点を3つ教えて」「結論の限界は?」「N数と統計手法は?」「反論できる可能性は?」