Pathologists' assistant
PulseAugur coverage of Pathologists' assistant — every cluster mentioning Pathologists' assistant across labs, papers, and developer communities, ranked by signal.
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Medical specialists embrace AI for enhanced diagnostics and efficiency
Medical professionals in fields like radiology, dermatology, and pathology are embracing AI tools, viewing them as enhancements rather than replacements for human expertise. They appreciate the speed and data-handling c…
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WSI foundation models can automatically triage cancer slides
Researchers have developed a pipeline using publicly available whole slide image (WSI) foundation models to automatically triage slides for cancer diagnosis. This method accurately identifies slides containing the most …
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New SAGE framework offers semantic explanations for AI in pathology
Researchers have developed SAGE, a new post-hoc framework designed to provide semantic, language-grounded explanations for attention-based multiple instance learning (ABMIL) models used in computational pathology. Unlik…
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New benchmarks and methods advance medical vision-language models
Researchers have developed new benchmarks and distillation techniques to improve the capabilities of vision-language models (VLMs) in the medical domain. PathAgentBench focuses on evaluating VLMs' ability to acquire and…
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New dataset pairs uterine pathology images with reports for AI research
Researchers have introduced TUM-Uteria, a new dataset designed to advance multimodal learning in computational pathology. This dataset pairs whole-slide images of uterine tissue with corresponding diagnostic pathology r…
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AI system matches pathologists in H&E tissue analysis
Researchers have developed Atlas H&E-TME, an AI system designed for scalable tissue profiling in histopathology. This system leverages foundation models to analyze Hematoxylin and eosin (H&E) stained whole-slide images,…
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Gastric cancer AI model GRACE boosts pathologist accuracy
Researchers have developed GRACE, a specialized foundation model for gastric cancer pathology, trained on a large dataset of over 48,000 whole-slide images. This model demonstrated superior performance compared to gener…