4 papers
How Indian Dermatologists are Utilizing Artificial Intelligence for Clinical Practice and Workflow Management: A Nationwide Survey with a Special Focus on atopic dermatitis
Dipayan Sengupta, Saumya Panda, Sandipan Dhar +3
Background: Dermatology AI has mainly focused on image-based diagnosis, while chronic disease workflows have received less attention. We surveyed Indian dermatologists to map routi…
How Clinicians Think and What AI Can Learn From It
Dipayan Sengupta, Saumya Panda
Most clinical AI systems operate as prediction engines -- producing labels or risk scores -- yet real clinical reasoning is a time-bounded, sequential control problem under uncerta…
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…
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…