Background Research
1. Artificial Intelligence Revolutionizing the Field of Medical Education
Artificial Intelligence is revolutionizing the medical education through intelligent tutoring systems, AI grading tools, and skill assessment tools.
2. ConverSense: An Automated Approach to Assess Patient-Provider Interactions using Social Signals
By processing patient-doctor conversation through a carefully designed Machine Learning pipeline, we can derive insights & social signals which can help improve the overall communication and ultimately the patient health outcome.
3. Anatomy teaching assistants: facilitating teaching skills for medical students through apprenticeship and mentoring
Developing teaching practice based on apprenticeship and mentoring lends to more accountability to both TA’s and course faculty by incorporating universal competencies to facilitate the TA experience.
View Technology
Expert Enagement
Having an AI run in the background can save a lot of time and overtime improve patient outcomes by ensuring our students are optimally trained.
Dr. Preetham Suresh
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Competitive Analysis
Evaluation
Knowledge base:
University Course Content
Verifiable Answers
Realtime Answers
Personalized feedback
Ethical and societal considerations
Privacy and Confidentiality
- Safeguarding patient and student data
- Compliance with regulations (e.g., FERPA, HIPAA, GDPR)
- We do not train on university student data.
Transparency, Explainability and Accountability
- We give timestamps of outcomes, indicating where the answer came from
- Additionally we give the percentage of confidence on a particular decision
Informed consent
- Ensuring students and patients are aware of AI use
- Obtaining necessary permissions
Impact on Education and Training
- Balancing technology with human oversight
- Enhancing or replacing traditional evaluation methods
Future Work
Further Platform development
We will continue to build and interate based on the feedback we receive. We will build the platform further to build a product that can be integrated within the med school workflow.
Pilot & Partener with Medical Schools
We are working towards running pilot for our platform for early adopters within medical schools. We are also seeking to secure partenerships with medical schools.
Integrate VR for training
We will integrate VR technology within the learning workflow. For eg. for clinical skills development, we will develop VR modules to train the students without requiring simulated patients.