AI in Healthcare and Pharma Summit

  • Nov 2025
  • Colonnade Hotel, Boston, MA, United States

Description

The AI in Healthcare and Pharma Summit is dedicated to exploring the advancements and applications of AI in healthcare.

Topics
  • Understanding AI bias in healthcare
  • AI in ultrasound: the value in imaging centers, home care and rural settings
  • Predicting patient outcomes with machine learning-based CDSS
  • Is synthetic data the key to better enterprise ML and faster innovation in healthcare?
  • Productionizing GenAI for healthcare with AI data development
  • Reducing nurse burnout in the era of AI: opportunities and challenges
  • Adjudication of adverse events using AI
  • The convergence: AI-powered wearables bridging remote patient monitoring and consumer health
  • Effective deployment of computer-aided diagnosis systems for medical imaging
  • Bringing humanity to AI in healthcare
  • Bridging the chasm between the potential and reality of AI and machine learning for health systems
  • ML pipeline for identification of prognostic and predictive factors in cancer trial data
  • Using AI to identify root causes of health inequity among patient groups
  • Navigating the future: a blueprint for ethical and responsible AI governance
  • Towards automated clinical trial design and protocol optimization with machine learning
Who should Attend
  • Data scientists
  • Healthcare IT professionals
  • Medical directors
  • ML engineers
  • Investors
  • Radiologists
  • AI solutions engineers
  • Executives from health and life sciences sectors
  • Researchers and academicians
  • Healthcare professionals
  • Ethics and governance experts
  • Healthcare venture partners

Venue

  • Colonnade Hotel , 120 Huntington Avenue , Boston, Massachusetts, United States

More Details

Prices:
1295 US Dollar (Estimated)
Exhibition:
No exhibition
Organizer:
RE.WORK
Website:

Future Events

Past Events

Important

Please, check "AI in Healthcare and Pharma Summit" official website for possible changes, before making any traveling arrangements

Event Categories

Health & Medicine: Healthcare, Medical technology, Pharma
Science: Engineering
Technology: Artificial Intelligence (AI)

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