A Guide to Getting into Residency-Course, Fusion Deep learning. Leveraging AI for Pandemic Preparedness 👨‍⚕️

* A Guide to Getting into Residency in the US * Fusion of medical imaging and electronic health records using deep learning * Leveraging artificial intelligence for pandemic preparedness and response * Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest

Status
Published
Video
Video
Ready to Publish
Ready to Publish
Publish Date
Jun 23, 2021
Target
Long Form
Blog Ideas
Design
Drafted
Graphics
Graphics
Type
Idea
Video Recording

A Guide to Getting into Residency in the US

Improve Your Odds, Decrease Your Cost & Time

Video preview
⚕️ Challenge:
Applying for United States residency is one of the most daunting tasks that we have to go through. There are a lot of moving parts; a lot of small steps that we have to take.
✅ Who's the Course for?
This course is dedicated to improve your efficiency in terms of time and cost and decrease the latency of getting to the right application.
  • Enhance your Strengths
  • Project yourself better
  • Improve Odds to getting to a residency interview
  • Improve Odds of getting Matched
❌ Who's the Course NOT for?
  • Macro NOT micro view of Residency application
  • NO USMLE preparation or tips
  • DO NOT expect a letter of recommendation just because you took this course
  • DO NOT expect a US clinical experience invitation
  • NOT an individualized Interview preparation program
"If anyone saved a life, it would be as if he saved the life of all mankind"
"If anyone saved a life, it would be as if he saved the life of all mankind"

💡 Learn


🎥 YouTube
🎓 Academy
📝 Blog

👨‍⚕️ Connect


🕊️ Twitter

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

notion image
 

Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

.. objective of this scoping review was to identify the key use cases for involving AI for pandemic preparedness and response from the peer-reviewed, preprint, and grey literature .. Six key use cases were identified: forecasting infectious disease dynamics and effects of interventions; surveillance and outbreak detection; real-time monitoring of adherence to public health recommendations; real-time detection of influenza-like illness; triage and timely diagnosis of infections; and prognosis of illness and response to treatment.

Hypothermia versus Normothermia after Out-of-Hospital Cardiac Arrest

In patients with coma after out-of-hospital cardiac arrest, targeted hypothermia did not lead to a lower incidence of death by 6 months than targeted normothermia. (Funded by the Swedish Research Council and others; TTM2 ClinicalTrials.gov number, NCT02908308. opens in new tab.)
 

 
 


"If anyone saved a life, it would be as if he saved the life of all mankind"
"If anyone saved a life, it would be as if he saved the life of all mankind"

💡 Learn


🎥 YouTube
🎓 Academy
📝 Blog

👨‍⚕️ Connect


🕊️ Twitter
 
Junaid Kalia MD

Written by

Junaid Kalia MD

CEO | Founder | President NeuroCare.AI - Advancing Digital Health Ecosystem in Emerging Countries!

    Sign up to receive Digital Health and Virtual Care content!