SpringML's Healthcare & Life Sciences Webinar Series 2021

  • Calendar
  • May 12 2021 - May 19 2021
    2:00 - 3:00 pm EST
  • Location
  • Online Webinar

Join us for a series of 3 webinars with experts from across the healthcare & life sciences industries. You’ll get in-depth knowledge across a variety of topics, ranging from immunization credentials for reopening businesses to medical imaging to remote patient monitoring. Fill out the form to register - select just one webinar or sign up for all 3, it’s up to you.

Navigating the pandemic forced many companies to pivot to a digital-first strategy, with telehealth and telemedicine receiving a lot of attention in 2020. The future of medical imaging solutions using AI holds great promise for saving lives, improving productivity, and reducing costs. We’ll discuss:

  • How to used AI based annotation and segmentation to improve workflows, and how to automate de-identification of clinical data from images
  • How to take advantage of Cloud and the innovations by industry leaders - Google Cloud - Healthcare API, NVIDIA - Clara and OHIF - zero footprint DICOM Viewer
  • Implementation strategies to support data import and enablement

Saravanan Jayakumar

Sindhu Adini
Director,
Google Cloud Services - Healthcare & Lifesciences Solutions,
SpringML

Brad Generaux

Brad Genereaux
Medical Imaging and Smart Hospitals Alliance Manager,
NVIDIA

The pandemic has opened our eyes to the many ways of doing business remotely, including telemonitoring patients in real time. By integrating wearables, 3rd party devices, and even IoT data into the clinical workflow, your care teams can have immediate insights into patient status even outside the hospital or office. Tracking patient status in real-time improves patient outcomes and scales the best quality of care to the most patients possible. We’ll discuss:

  • How to build and deploy ML algorithms that analyze new contextual data from devices
  • How to integrate with medical devices - In-Patient as well as Out Patient
  • How to analyze data to identify abnormalities; push alerts to patients and physicians for timely intervention

Daniel Gonzalez

Daniel Gonzalez
HLS Solutions Lead,
SpringML

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