From Electrocardiography to the Catheterization Laboratory: A Multimodal Artificial Intelligence Framework for Acute Coronary Syndrome Detection and Risk Stratification. [PDF]
Diagnostics (Basel)Tomala M, Kłaczyński M.
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Detecting Occlusion Myocardial Infarction with an AI-Powered ECG Model: A Retrospective Cohort Study. [PDF]
J Pers MedHellerman MB +4 more
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ForestSeg3D: A semantically guided framework for individual tree segmentation from LiDAR point clouds. [PDF]
Plant PhenomicsZhang K, Zhang W, Jing W, Li L, Li C.
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A Wearable Infrared Sensor for Detecting Non-ST Segment Elevation Acute Coronary Syndromes. [PDF]
Life (Basel)Sengupta PP +9 more
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Evidence for Electrocardiographic Patterns Identifying Acute Coronary Occlusion in Non-ST-Elevation Acute Coronary Syndromes: A Scoping Review. [PDF]
Acad Emerg MedGrimes AP, Maria SJ.
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Evaluation of salivary alpha-amylase and cortisol levels in patients undergoing orthodontic mini-implant treatment: a short-term prospective comparative study. [PDF]
Eur J OrthodMalikov I +4 more
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Editorial: Challenges, opportunities, and actions for improved maternal and child nutrition
Frontiers in NutritionMonica Ancira-Moreno +3 more
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Diagnostic challenges in acute coronary syndrome: reconciling the STEMI-NSTEMI and OMI-NOMI paradigms. [PDF]
BMC Cardiovasc DisordUmit TB +6 more
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