[HTML][HTML] Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
Digital pathology technologies, including whole slide imaging (WSI), have significantly
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …
improved modern clinical practices by facilitating storing, viewing, processing, and sharing …
Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology
Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …
bring forward unprecedented technical capabilities to leverage for a wide range of …
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 …
Augmenting pathologists with NaviPath: design and evaluation of a human-AI collaborative navigation system
Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-
resolution tumor images to search for pathology patterns of interest. However, existing AI …
resolution tumor images to search for pathology patterns of interest. However, existing AI …
Introduction to the special issue on human-centred AI in healthcare: Challenges appearing in the wild
The development of Artificial intelligence (AI) is accelerating and promising to impact
healthcare. Advancements in processing chips and Machine Learning (ML) have made …
healthcare. Advancements in processing chips and Machine Learning (ML) have made …
Understanding human-AI workflows for generating personas
One barrier to deeper adoption of user-research methods is the amount of labor required to
create high-quality representations of collected data. Trained user researchers need to …
create high-quality representations of collected data. Trained user researchers need to …
Enhancing mitosis quantification and detection in meningiomas with computational digital pathology
Mitosis is a critical criterion for meningioma grading. However, pathologists' assessment of
mitoses is subject to significant inter-observer variation due to challenges in locating mitosis …
mitoses is subject to significant inter-observer variation due to challenges in locating mitosis …
Next steps for human-centered generative AI: A technical perspective
Through iterative, cross-disciplinary discussions, we define and propose next-steps for
Human-centered Generative AI (HGAI). We contribute a comprehensive research agenda …
Human-centered Generative AI (HGAI). We contribute a comprehensive research agenda …
Ganravel: User-driven direction disentanglement in generative adversarial networks
Generative adversarial networks (GANs) have many application areas including image
editing, domain translation, missing data imputation, and support for creative work. However …
editing, domain translation, missing data imputation, and support for creative work. However …
Enabling large-scale screening of Barrett's esophagus using weakly supervised deep learning in histopathology
Timely detection of Barrett's esophagus, the pre-malignant condition of esophageal
adenocarcinoma, can improve patient survival rates. The Cytosponge-TFF3 test, a non …
adenocarcinoma, can improve patient survival rates. The Cytosponge-TFF3 test, a non …