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SUMMARY:Advancing Valvular Heart Disease Screening: AI-Enhanced Auscultati
 on and Handheld Sensing for Early Detection - Anurag Agarwal (University o
 f Cambridge)
DTSTART:20250313T133000Z
DTEND:20250313T143000Z
UID:TALK229054@talks.cam.ac.uk
CONTACT:Spencer Keene
DESCRIPTION:Valvular heart disease (VHD) is a significant public health ch
 allenge\, with over half of cases remaining undiagnosed due to late sympto
 m onset and the limitations of traditional stethoscope-based screening. Th
 is talk will explore two promising approaches to improve VHD screening.\n 
 \nFirst\, we will discuss the development and validation of an AI-enhanced
  auscultation algorithm that directly predicts clinically significant VHD 
 from electronic stethoscope recordings. This algorithm\, trained on a larg
 e\, diverse dataset of NHS patients\, achieves a sensitivity of 98% for se
 vere aortic stenosis and 94% for severe mitral regurgitation\, significant
 ly outperforming general practitioners in both sensitivity and specificity
 .\n \nSecond\, we will introduce a novel handheld\, multi-sensor device de
 signed for untrained users to record high-quality heart sounds without req
 uiring patients to undress. This device\, equipped with advanced signal qu
 ality algorithms\, significantly improves the likelihood of successful rec
 ordings across diverse body types and has the potential to enable low-cost
 \, accessible screening in resource-constrained settings.\n \nTogether\, t
 hese advancements offer a practical\, non-invasive solution for early VHD 
 detection\, supporting timely intervention and improved patient outcomes. 
 This talk will highlight the integration of AI\, wearable technology\, and
  health data in enhancing cardiac screening and population health.\n
LOCATION:Heart and Lung Research Institute (R.101 and 102) or Virtually vi
 a Zoom: https://sanger.zoom.us/j/98898125575?pwd=MQOJwCliHlvrlVJcfOjD4jxtC
 0Vf1A.1
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