AI research at Philips Research North America

Connecting Machine Intelligence to Healthcare

We create AI technologies to improve healthcare decision-making and interventions across the care continuum.

Our research activities aim to innovate towards challenging and extending the state of the art in machine intelligence for various applications including clinical question answering, clinical paraphrasing, human-like conversational agents and automated caption generation for medical images. We are committed to advancing the role of AI in realizing desired health outcomes. We establish the footprint of Philips Healthcare as a key player in the development of AI solutions relevant for a paradigm shift in healthcare. We actively engage academic partners and the larger AI research community, and showcase cutting-edge innovations in top peer-reviewed biomedical literature, and world-renown scientific conferences, workshops and symposia.

 

Research Areas


Our expertise and research interests include:

  • Natural Language Processing (NLP)
  • Clinical Question Answering
  • Dialog Systems
  • Social Media Analysis
  • Multimodal Deep Learning
  • Applied Machine Learning
  • Human-computer Interaction
  • Precision Medicine
  • Pharmacovigilance.
People
Oladimeji Farri

Oladimeji Farri

Principal Scientist and Lead

Ashequl Qadir

Ashequl Qadir

Research Scientist

Sadid Hasan

Sadid Hasan

Senior Scientist

Vivek Datla

Vivek Datla

Research Scientist

Yuan Ling

Yuan Ling

Research Scientist

Louis Atallah

Louis Atallah

Senior Scientist - Business Innovation Specialist

Payaal Patel

Payaal Patel

Senior Design Researcher

Joey Liu

Joey Liu

Senior Research Engineer

Tilak Arora

Tilak Arora

Research Engineer

Kathy Lee

Kathy Lee

Research Scientist