A multimodal generative AI copilot for human pathology
Computational pathology, has witnessed considerable progress in the development of both
task-specific predictive models and task-agnostic self-supervised vision encoders …
task-specific predictive models and task-agnostic self-supervised vision encoders …
A visual-language foundation model for computational pathology
The accelerated adoption of digital pathology and advances in deep learning have enabled
the development of robust models for various pathology tasks across a diverse array of …
the development of robust models for various pathology tasks across a diverse array of …
Get Real Get Better: A Framework for Developing Agile Program Management in the US Navy Supported by the Application of Advanced Data Analytics and AI
J Haase, PB Walker, O Berardi, W Karwowski - Technologies, 2023 - mdpi.com
This paper discusses the “Get Real Get Better”(GRGB) approach to implementing agile
program management in the US Navy, supported by advanced data analytics and artificial …
program management in the US Navy, supported by advanced data analytics and artificial …
Unpacking human-AI interaction in safety-critical industries: a systematic literature review
Ensuring quality human-AI interaction (HAII) in safety-critical industries is essential. Failure
to do so can lead to catastrophic and deadly consequences. Despite this urgency, existing …
to do so can lead to catastrophic and deadly consequences. Despite this urgency, existing …
A foundational multimodal vision language AI assistant for human pathology
The field of computational pathology has witnessed remarkable progress in the
development of both task-specific predictive models and task-agnostic self-supervised vision …
development of both task-specific predictive models and task-agnostic self-supervised vision …
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
MS Seyfioglu, WO Ikezogwo… - Proceedings of the …, 2024 - openaccess.thecvf.com
Diagnosis in histopathology requires a global whole slide images (WSIs) analysis requiring
pathologists to compound evidence from different WSI patches. The gigapixel scale of WSIs …
pathologists to compound evidence from different WSI patches. The gigapixel scale of WSIs …
[HTML][HTML] Human-centered AI as a framework guiding the development of image-based diagnostic tools in oncology: a systematic review
K Allen, AK Yawson, S Haggenmüller, JN Kather… - ESMO Real World Data …, 2024 - Elsevier
Background Artificial intelligence diagnostic tools (AIDTs) in oncology show high image
classification accuracy but limited clinical adoption. Their adoption could be enhanced by (i) …
classification accuracy but limited clinical adoption. Their adoption could be enhanced by (i) …
What a whole slide image can tell? subtype-guided masked transformer for pathological image captioning
Pathological captioning of Whole Slide Images (WSIs), though is essential in computer-
aided pathological diagnosis, has rarely been studied due to the limitations in datasets and …
aided pathological diagnosis, has rarely been studied due to the limitations in datasets and …
Assessing and enhancing robustness of deep learning models with corruption emulation in digital pathology
Deep learning in digital pathology brings intelligence and automation as substantial
enhancements to pathological analysis, the gold standard of clinical diagnosis. However …
enhancements to pathological analysis, the gold standard of clinical diagnosis. However …
MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives
WO Ikezogwo, K Zhang, MS Seyfioglu… - arXiv preprint arXiv …, 2025 - arxiv.org
We propose MedicalNarratives, a dataset curated from medical pedagogical videos similar
in nature to data collected in Think-Aloud studies and inspired by Localized Narratives …
in nature to data collected in Think-Aloud studies and inspired by Localized Narratives …