A.I In Healthcare

By AdamMacknight

  • First Concepts

    The first concepts of ai in healtcare

  • MYCIN

    Introduction of MYCIN, an early expert system developed at Stanford University, designed to diagnose bacterial infections and recommend antibiotics.

  • Expansion of Expert Systems

    Development of systems like "INTERNIST-I" and "CASNET" for diagnosing complex diseases, representing a growing interest in AI-assisted diagnostics.

  • Medical Imaging

    AI techniques begin to integrate with medical imaging technologies, enhancing image analysis and interpretation, particularly in radiology.

  • Machine Learning

    Machine learning algorithms are applied to genomics, aiding in the understanding of genetic diseases and personalized medicine approaches.

  • Big Data

    The rise of deep learning models enables significant advancements in image recognition, predictive analytics, and natural language processing in healthcare.
    IBM Watson gains attention for its potential to assist in oncology treatment decisions.

  • A.I In COVID-19 Response

    AI played a crucial role in the COVID-19 pandemic, from predicting outbreak patterns to aiding in vaccine development.