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AI - Coggle Diagram

- - - - Generalized Linear Models (
      - Decision Trees and Random Forest (RF)
      - K-Nearest Neighbors (KNN)
      - Support Vector Machine (SVM)
      - Gradient Boosting Machine (GBM)
    - - Uses artificial neural networks (ANNs) to automatically learn insights and recognize patterns from raw and unstructured data
      - possible due to availability of computational power and large scale data
      - Subset of machine learning
      - Generative pre-trained transformer 3 (GPT-3)
        
        State of the art (SOTA) language model trained on 45 TB of text including Wikipedia, reddit, and common crawl
      - requires very little human intervention to learn effectively
      - DALL-E 2
        
        SOTA vision model trained on 250 million natural text image pairs, 3.5 billion parameters
        
        Multimodal version on GPT-2
- - - - Regard
        
        Uses AI to diagnose patients, clinical co-pilot
        
        data from EMR is synthesized to determine diagnoses
      - Nuance
      - reduces physician burnout
      - optimizes revenue
    - - Deep learning taken over complex analysis
      - Identify conditions faster, earlier intervention
      - improves diagnostic capacity
      - identifying neurological abnormalities
      - classifying tumors
      - recognizing cancer
      - radiomics
      - detecting fractures
      - providing second opinion
      - imaging biobanks
      - dose optimization
    - - Wearables
        
        FItbit
        
        Apple watch