Results 161 to 170 of about 2,245 (232)

Dynamic Behavior of Left Atrial Low‐Voltage Areas in Persistent Atrial Fibrillation: Implications for Substrate‐Guided Ablation

open access: yesJournal of Cardiovascular Electrophysiology, EarlyView.
Patient selection and analysis flow diagram. The exact pre‐inclusion denominator and reliable reason‐specific exclusion counts could not be reconstructed because a prospectively maintained screening log was unavailable. The diagram summarizes the final study cohort and analysis‐specific sample sizes. AF, atrial fibrillation; LVA, low‐voltage area; SR1,
Yunus Emre Özbebek   +7 more
wiley   +1 more source

Management of Non‐Plaque‐Induced Gingival Conditions: A Systematic Review—Part 2: Inflammatory and Immune Conditions; Neoplasms; and Gingival Pigmentation

open access: yesJournal of Clinical Periodontology, EarlyView.
ABSTRACT Aims This systematic review assesses current evidence on the management of non‐plaque (dental biofilm)‐induced gingival diseases and conditions (NPIGDs), including (i) inflammatory and immune conditions, (ii) neoplasms and (iii) gingival pigmentations.
Maria Clotilde Carra   +5 more
wiley   +1 more source

International Dermoscopy Society consensus recommendations for the management of lentigo maligna

open access: yesJournal of the European Academy of Dermatology and Venereology, EarlyView.
Lentigo maligna (LM) poses diagnostic and therapeutic challenges amid rising incidence and limited high‐quality evidence. This international expert consensus provides pragmatic, evidence‐based and expertise‐informed guidance on LM diagnosis and management.
Ana‐Maria Forsea   +52 more
wiley   +1 more source

AI‐Assisted Literature Mining Reveals Spatiotemporal Heterogeneity and Progression Trajectories of Traditional Chinese Medicine Syndromes in Coronary Heart Disease in China

open access: yesJournal of Evidence-Based Medicine, EarlyView.
ABSTRACT Despite the centrality of syndrome differentiation in guiding personalized traditional Chinese medicine (TCM) interventions for coronary heart disease (CHD), existing studies of TCM syndrome distribution are constrained by fragmented methodologies and limited spatiotemporal resolution. In this study, we employed an artificial intelligence (AI)‐
Qianzi Che   +15 more
wiley   +1 more source

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