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DrEnosh/README.md

Terminal-style profile card. Left: a dotted halftone portrait of Dr. Enosh A Paulson. Right: the tagline 'Building AI for a healthier tomorrow' and profile details covering role, education, focus, interests and current work. A text version is at the bottom of this page.

Featured Projects

DentoRoute: probabilistic dental triage and referral research prototype. Turns model probabilities into conservative referral routes and sends unsure cases to a human. Synthetic data. PanoSlice: experimental AI-based panoramic dental image analysis. In-browser U-Net tooth segmentation on an OPG with an estimated 3D jaw and linked slices. Healthcare Forecasting: hospital admission forecasting and time-series prediction. Six-location admission study comparing SARIMA, ETS, Prophet and XGBoost.

Research and educational prototypes. Not validated for clinical decision-making.

Tools & Technologies

Tools I use or explore. Languages: Python, SQL. ML and AI: PyTorch, machine learning, deep learning, LLMs. Apps and APIs: FastAPI, Streamlit. Analytics: Power BI. Workflow: Git and GitHub.

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Text version of this profile (mobile and screen readers)

Dr. Enosh A Paulson
Building AI for a healthier tomorrow

Dentist turned healthcare AI and medical informatics enthusiast, exploring how AI can solve real-world healthcare problems.

Role Healthcare AI · Medical Informatics · AI & Data Science
Education PGDMI, AI & Data Science in Healthcare · IIHMR Bangalore
Additional education Online MBA in Healthcare Management · Manipal
Focus Clinical AI, Hospital AI Implementation, Machine Learning, Digital Health, Clinical Decision Support
Interests Healthcare Data Science, Medical Imaging, Predictive Analytics, LLMs, Health-Tech Product Development
Currently Learning, building prototypes, exploring healthcare AI opportunities, and developing practical technical skills.

Featured projects

  • DentoRoute: probabilistic dental triage and referral research prototype (synthetic data)
  • PanoSlice: experimental AI-based panoramic dental image analysis
  • Healthcare Forecasting: hospital admission forecasting and time-series prediction

Research and educational prototypes. Not validated for clinical decision-making.

Tools I use or explore: Python, SQL, PyTorch, FastAPI, Streamlit, Power BI, machine learning, deep learning, Git & GitHub, LLMs

Pinned Loading

  1. clineval-ai clineval-ai Public

    Evaluation platform for clinical AI summarization systems that surfaces the failures aggregate scores hide.

    Python

  2. dentoroute dentoroute Public

    Probabilistic dental triage and referral routing with structured, explainable decisions. Synthetic data; research prototype.

    Python

  3. hospital-admission-forecasting hospital-admission-forecasting Public

    Admission forecasting across six synthetic hospital sites using SARIMA, ETS and ML models, with an interactive dashboard.

    Python

  4. mouthtwin mouthtwin Public

    Interactive 3D dental arch from a panoramic X-ray (OPG), running entirely in the browser. Research prototype.

    TypeScript

  5. oralguard oralguard Public

    Uncertainty-aware multi-task dental pathology detection and classification on radiographs (PyTorch, YOLO). Research prototype.

    Python

  6. Vi-scan Vi-scan Public

    Voice-first dental report assistant with grounded patient identity and a built-in evaluation harness. Proof of concept.voice-assistant dental-ai speech-to-text llm healthcare-ai python

    Python 1