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Conference on Machine Learning for Healthcare

An academic conference focused on the application of machine learning algorithms to clinical data and healthcare delivery challenges.

When
August, Mid August
Where
RotatingView on Google Maps
Format
In person
Organiser
MLHC Board
Region
North America
Scale
About 500 attendees
Founded
2016

The Signal

The Conference on Machine Learning for Healthcare is a research-focused event that brings together clinicians and computer scientists. It provides a platform to present peer-reviewed papers on algorithmic advances and clinical applications of artificial intelligence. For healthtech operators, it serves as an early indicator of validated AI methodologies entering the clinical workflow. Investors utilize the event to identify technical talent and emerging academic spinouts.

What to expect

  • Peer reviewed paper presentations on clinical predictive modeling
  • Debates on machine learning generalizability across different electronic health record systems
  • Discussions regarding ethical data collection and bias reduction in clinical AI

Who is in the room

Clinicians, computer scientists, machine learning researchers, and healthtech product developers.

Background

Founded to bridge the gap between computer science departments and medical schools. It has grown alongside the rapid development of deep learning in healthcare applications.

Official event site

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