Recent advances in Artificial Intelligence (AI) show great promise in several fields of medicine. The field of deep learning is enabling the development of expert-level automated algorithms.
There are two aspects to consider when looking at the value in using AI. First is the practical aspect. Use of AI can speed up the diagnostic process, ensuring diagnostic assessments are more reproducible. This helps physician productivity by automating some of the decision-making process.
The deeper aspect of AI’s impact is in its ability to analyze the data found. AI algorithms will begin to find patterns a human wouldn’t necessarily see, extending the capability of what physicians can do today. These advances could address the impact treatment of the disease has on outcomes.
AI is simply a tool – not a replacement for a pathologist. Deep learning can be applied to numerous diagnostic tasks and defines a new era in digital pathology.
Dr. Keith Kaplan, Chicago native and Publisher of leading industry blog tissuepathology.com will be discussing artificial intelligence, what it means for healthcare and pathology at the Pathology Horizons Conference this September in N.Ireland.
During his session Dr. Kaplan will focus on advancements in AI in surgical pathology and what the use of this technology means for the future practice of pathology.
Objectives for this session:
- Understand basic definitions in AI and deep learning.
- Review applications and use cases to date within medicine and pathology
- Discuss implications of AI for the practice of pathology
- Highlight potential opportunities and weaknesses for AI within pathology