Remeda LogoRemeda

Research & Publications

Advancing healthcare through cutting-edge research, peer-reviewed publications, and scientific collaboration with leading medical institutions worldwide.

5
Research Papers
1
Conference Presentation
On Designing Human-Centric Diagnostic AI
This paper is all about workflow and user experience.

Abstract

Objective: This paper details the design and evaluation of ReMeDa (REsponsive MEdical Assistant), an AI-augmented medical assistant built to enhance clinical efficiency and user experience.

Workflow DesignUser ExperienceClinical AI
Status: Unpublished
On the Efficacy of AI-Augmented Clinical Decision Support
This paper is all about outcomes and accuracy.

Abstract

Objective: This study evaluates the efficacy of ReMeDa (REsponsive MEdical Assistant), an AI-augmented diagnostic tool, in improving the speed and accuracy of clinical diagnosis.

Clinical Decision SupportDiagnostic AccuracyOutcomes
Status: Unpublished
Adaptive Learning in Clinical AI: A Reinforcement Learning Approach to Diagnostic Refinement
Focus: impact of RLHF on ATLAS on interpretability and accuracy

Abstract

Evaluate model improvement over iterations (accuracy, time to diagnosis). Potential benchmarks using textbook/fuzzed cases.

Reinforcement LearningRLHFAdaptive Learning
Status: Unpublished
Bridging the Gap: Patient-Facing Interfaces for AI-Augmented Healthcare
Focus: Expansion into the patient experience layer - mobile and desktop UI/UX, QOL features, and wearables integration.

Abstract

Evaluate the patient-side interface in terms of usability and accessibility, as well as AI usefulness. Integration of wearable data and its clinical relevance.

Patient InterfaceUI/UXWearables
Status: Unpublished
Deep Learning for Multimodal Clinical Imaging: Scan Analysis in AI-Integrated Diagnostic Systems
Focus: Use of computer vision (CV) to enhance diagnostic support through analysis of scans (e.g., chest X-rays, CTs), and their integration into a broader AI diagnostic model.

Abstract

Scan classification/segmentation performance (AUC, sensitivity, specificity). Use of imaging results as inputs into the larger AI model (ATLAS integration).

Computer VisionMedical ImagingMultimodal AI
Status: Unpublished

Collaborate with Our Research Team

Interested in collaborating on research or have questions about our publications? We'd love to hear from you.