Area of research
Physiology · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Medicine, Computer science, Spaceflight, Optometry, Artificial intelligence, and Ophthalmology.
Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions
Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care
Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment
Next-Generation Biomaterials for Load-Bearing Tissue Interfaces: Sensor-Integrated Scaffolds and Mechanoadaptive Constructs for Skeletal Regeneration
Navigating Healthcare AI Governance: the Comprehensive Algorithmic Oversight and Stewardship Framework for Risk and Equity
Biomarker-Guided Imaging and AI-Augmented Diagnosis of Degenerative Joint Disease
Ophthalmic Image Synthesis and Analysis with Generative Adversarial Network Artificial Intelligence
Precision health monitoring in spaceflight with integration of lower body negative pressure and advanced large language model artificial intelligence
Computational and Imaging Approaches for Precision Characterization of Bone, Cartilage, and Synovial Biomolecules
Epigenetic Profiling of Cell-Free DNA in Cerebrospinal Fluid: A Novel Biomarker Approach for Metabolic Brain Diseases
Generative artificial intelligence in ophthalmology
Artificial Intelligence-Based Methodologies for Early Diagnostic Precision and Personalized Therapeutic Strategies in Neuro-Ophthalmic and Neurodegenerative Pathologies
Artificial intelligence in corneal diseases: A narrative review
A side-by-side evaluation of Llama 2 by meta with ChatGPT and its application in ophthalmology
Oculomics analysis in multiple sclerosis: Current ophthalmic clinical and imaging biomarkers
Imaging in spaceflight associated neuro-ocular syndrome (SANS): Current technology and future directions in modalities
Lower body negative pressure as a research tool and countermeasure for the physiological effects of spaceflight: A comprehensive review
Ultrasound Biomicroscopy as a Novel, Potential Modality to Evaluate Anterior Segment Ophthalmic Structures during Spaceflight: An Analysis of Current Technology
GPT-4: a new era of artificial intelligence in medicine
Generative Adversarial Networks in Medicine: Important Considerations for this Emerging Innovation in Artificial Intelligence
Meta smart glasses—large language models and the future for assistive glasses for individuals with vision impairments
Google’s AI chatbot “Bard”: a side-by-side comparison with ChatGPT and its utilization in ophthalmology
GPT-4 and Ophthalmology Operative Notes
Apple Vision Pro and why extended reality will revolutionize the future of medicine
Apple Vision Pro for Ophthalmology and Medicine
The future of ophthalmology and vision science with the Apple Vision Pro
Artificial Intelligence Frameworks to Detect and Investigate the Pathophysiology of Spaceflight Associated Neuro-Ocular Syndrome (SANS)
Retina Oculomics in Neurodegenerative Disease
Test–Retest Reliability of Virtual Reality Devices in Quantifying for Relative Afferent Pupillary Defect
Terrestrial health applications of visual assessment technology and machine learning in spaceflight associated neuro-ocular syndrome