Clip in medical imaging: A comprehensive survey
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training
paradigm, successfully introduces text supervision to vision models. It has shown promising …
paradigm, successfully introduces text supervision to vision models. It has shown promising …
Llava-med: Training a large language-and-vision assistant for biomedicine in one day
Conversational generative AI has demonstrated remarkable promise for empowering
biomedical practitioners, but current investigations focus on unimodal text. Multimodal …
biomedical practitioners, but current investigations focus on unimodal text. Multimodal …
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …
and stands to benefit greatly from artificial intelligence solutions and large language models …
Towards generalist biomedical AI
Background Medicine is inherently multimodal, requiring the simultaneous interpretation
and integration of insights between many data modalities spanning text, imaging, genomics …
and integration of insights between many data modalities spanning text, imaging, genomics …
A generalist vision–language foundation model for diverse biomedical tasks
Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or
modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize …
modalities, often exhibit limited flexibility in real-world deployment and struggle to utilize …
Prompt engineering for healthcare: Methodologies and applications
Prompt engineering is a critical technique in the field of natural language processing that
involves designing and optimizing the prompts used to input information into models, aiming …
involves designing and optimizing the prompts used to input information into models, aiming …
Biomedgpt: A unified and generalist biomedical generative pre-trained transformer for vision, language, and multimodal tasks
Conventional task-and modality-specific artificial intelligence (AI) models are inflexible in
real-world deployment and maintenance for biomedicine. At the same time, the growing …
real-world deployment and maintenance for biomedicine. At the same time, the growing …
Medblip: Bootstrapping language-image pre-training from 3d medical images and texts
Vision language pretraining (VLP) models have proven effective in numerous computer
vision applications. In this paper, we focus on developing a VLP model for the medical …
vision applications. In this paper, we focus on developing a VLP model for the medical …
Foundation model for advancing healthcare: Challenges, opportunities, and future directions
Foundation model, which is pre-trained on broad data and is able to adapt to a wide range
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …
of tasks, is advancing healthcare. It promotes the development of healthcare artificial …
Medtrinity-25m: A large-scale multimodal dataset with multigranular annotations for medicine
This paper introduces MedTrinity-25M, a comprehensive, large-scale multimodal dataset for
medicine, covering over 25 million images across 10 modalities, with multigranular …
medicine, covering over 25 million images across 10 modalities, with multigranular …