United States
A love for pathology, informatics, and AI coupled with an inextinguishable drive to illustrate the multi-dimensional landscape of medicine today so that these blueprints may serve to navigate the world of tomorrow.
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Chief Director & Content Officer: Special Session (International Society for Computational Biology at the University of Pittsburgh]
Conference Special Session: University of Pittsburgh, May 13-16
Peer-Reviewed Publications
The field of computational pathology[1,2] has witnessed remarkable progress in the development of both task-specific predictive models and task-agnostic self-supervised vision encoders[3,4]. However, despite the explosive growth of generative artificial intelligence (AI), there has been limited study on building general purpose, multimodal AI assistants and copilots[5] tailored to pathology.
Volume 15, Issue 4, Pages 759-785. https://doi.org/10.1016/j.path.2022.08.001
Digital pathology (DP) has disrupted the practice of traditional pathology, including applications in education, research, and clinical practice. Contemporary whole slide imaging (WSI) devices include technological advances that help address some of the challenges facing modern pathology, such as in ...
Diagnostic devices, methodological approaches, and traditional constructs of clinical pathology practice, cultivated throughout centuries, have transformed radically in the wake of explosive technological growth and other, e.g., environmental, catalysts of change.
Volume 8, Issue 1, Pages 145–161 https://doi.org/10.1093/jalm/jfac119
Digital workflow transformation continues to sweep throughout a diversity of pathology departments spanning the globe following catalyzation of whole slide imaging (WSI) adoption by the SARS-CoV-2 (COVID-19) pandemic. The utility of WSI for a litany of use cases including primary diagnosis has been emphasized during this period, with WSI scanning devices gaining the approval of healthcare regulatory bodies and practitioners alike for clinical applications following extensive validatory efforts.
As artificial intelligence (AI) integrates within the intersecting domains of healthcare and computational biology, developing interpretable models tailored to medical contexts is met with significant challenges. Explainable AI (XAI) is vital for fostering trust and enabling effective use of AI in healthcare, particularly in image-based specialties such as pathology and radiology where adjunctive AI solutions for diagnostic image analysis are increasingly utilized.
Machine learning has been leveraged for image analysis applications throughout a multitude of subspecialties. This position paper provides a perspecti...
Multimedia
Poster Presentation
Poster Presentation
Science Writing
Researchers Argue for Equality in Psychedelic Terminology Used in Medical Care
Ketamine may improve the quality of recovery (QoR) in patients undergoing thoracoscopic, i.e., chest, surgery when given around the time of procedure.
Brazilian researchers reviewed a series of published studies to draw further insight into the effects of combined ketamine and alcohol use. Findings