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Artificial intelligence in liver cancer—New tools for research and patient management
J Calderaro, L Žigutytė, D Truhn, A Jaffe… - Nature Reviews …, 2024 - nature.com
Liver cancer has high incidence and mortality globally. Artificial intelligence (AI) has
advanced rapidly, influencing cancer care. AI systems are already approved for clinical use …
advanced rapidly, influencing cancer care. AI systems are already approved for clinical use …
[HTML][HTML] Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant
With the rapid development of artificial intelligence, large language models (LLMs) have
shown promising capabilities in mimicking human-level language comprehension and …
shown promising capabilities in mimicking human-level language comprehension and …
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 …
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Multimodal Large Language Models (MLLMs) have tremendous potential to improve the
accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions …
accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions …
Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm
Abstract Large Vision-Language Models (LVLMs) have demonstrated remarkable
capabilities in various multimodal tasks. However their potential in the medical domain …
capabilities in various multimodal tasks. However their potential in the medical domain …
Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics
DeepFakes which refer to AI-generated media content have become an increasing concern
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V)
outperforms human physicians in medical challenge tasks. However, these evaluations …
outperforms human physicians in medical challenge tasks. However, these evaluations …
Dense connector for mllms
Do we fully leverage the potential of visual encoder in Multimodal Large Language Models
(MLLMs)? The recent outstanding performance of MLLMs in multimodal understanding has …
(MLLMs)? The recent outstanding performance of MLLMs in multimodal understanding has …
Scifibench: Benchmarking large multimodal models for scientific figure interpretation
Large multimodal models (LMMs) have proven flexible and generalisable across many tasks
and fields. Although they have strong potential to aid scientific research, their capabilities in …
and fields. Although they have strong potential to aid scientific research, their capabilities in …
Charting new territories: Exploring the geographic and geospatial capabilities of multimodal llms
J Roberts, T Lüddecke, R Sheikh… - Proceedings of the …, 2024 - openaccess.thecvf.com
Multimodal large language models (MLLMs) have shown remarkable capabilities across a
broad range of tasks but their knowledge and abilities in the geographic and geospatial …
broad range of tasks but their knowledge and abilities in the geographic and geospatial …