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Trishan Panch

Health Data Science

Harvard University

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About Trishan Panch at Harvard University (Harvard)

Based at Harvard University, Trishan Panch focuses their scholarly efforts on Artificial Intelligence in Healthcare, Digital Mental Health, Machine Learning, Healthcare Data Science, AI Ethics, Clinical AI Regulation, Generative AI in Medicine, Diagnostic Accuracy Studies, bridging the gap between theory and practice in Artificial Intelligence in Healthcare. A representative example of their recent contribution is the study titled "Hallucination or Confabulation? Neuroanatomy as metaphor in Large Language Models", which offers critical insights into the dynamics of Artificial Intelligence in Healthcare and Digital Mental Health. Additional work such as "The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

Artificial Intelligence in HealthcareDigital Mental HealthMachine LearningHealthcare Data ScienceAI EthicsClinical AI RegulationGenerative AI in MedicineDiagnostic Accuracy Studies
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Academic Impact Matrix

Research output metrics for Trishan Panch aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations3,359

Emerging researcher

Publications31

Selective publication record

h-index17

Developing track record

i10-index20

Early-stage portfolio

Lab Environment

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Top Publications

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