3 papers
cs.AI2026
How Clinicians Think and What AI Can Learn From It
Dipayan Sengupta, Saumya Panda
Clinical artificial intelligence increasingly builds high-dimensional representations of patients, yet every finite clinical model is an abstraction. The key question is not only h…
cs.AI2025
Divergent Realities: A Comparative Analysis of Human Expert vs. Artificial Intelligence Based Generation and Evaluation of Treatment Plans in Dermatology
Dipayan Sengupta, Saumya Panda
Background: Evaluating AI-generated treatment plans is a key challenge as AI expands beyond diagnostics, especially with new reasoning models. This study compares plans from human…
q-bio.QM2025
A Novel Framework for Comparing Combination Therapy Outcomes Using Mechanistic Graph Models
Dipayan Sengupta, Saumya Panda
Background: Predicting the efficacy of combination therapies is a critical challenge in clinical decision-making, particularly for diseases requiring multi-drug regimens. Tradition…