Artificial general intelligence for medical imaging analysis
Large-scale Artificial General Intelligence (AGI) models, including Large Language Models
(LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of …
(LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of …
Vision-language models for medical report generation and visual question answering: A review
I Hartsock, G Rasool - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Medical vision-language models (VLMs) combine computer vision (CV) and natural
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …
language processing (NLP) to analyze visual and textual medical data. Our paper reviews …
AI hallucinations: a misnomer worth clarifying
N Maleki, B Padmanabhan… - 2024 IEEE conference on …, 2024 - ieeexplore.ieee.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …
systems have been shown to suffer from a problematic phenomenon often termed as" …
Multimodal data integration for oncology in the era of deep neural networks: a review
Cancer research encompasses data across various scales, modalities, and resolutions, from
screening and diagnostic imaging to digitized histopathology slides to various types of …
screening and diagnostic imaging to digitized histopathology slides to various types of …
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 …
Building flexible, scalable, and machine learning-ready multimodal oncology datasets
The advancements in data acquisition, storage, and processing techniques have resulted in
the rapid growth of heterogeneous medical data. Integrating radiological scans …
the rapid growth of heterogeneous medical data. Integrating radiological scans …
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
P Neidlinger, OSM El Nahhas, HS Muti, T Lenz… - arXiv preprint arXiv …, 2024 - arxiv.org
Advancements in artificial intelligence have driven the development of numerous pathology
foundation models capable of extracting clinically relevant information. However, there is …
foundation models capable of extracting clinically relevant information. However, there is …
Assigning Medical Professionals: ChatGPT's Contributions to Medical Education and Health Prediction
Artificial intelligence is increasingly present in many applications that help humans
accomplish many tasks. It can support improved results, increased productivity, and high …
accomplish many tasks. It can support improved results, increased productivity, and high …
Non-generative artificial intelligence (AI) in medicine: advancements and applications in supervised and unsupervised machine learning
L Pantanowitz, T Pearce, I Abukhiran, M Hanna… - Modern Pathology, 2024 - Elsevier
Abstract The use of Artificial Intelligence (AI) within pathology and healthcare has advanced
extensively. We have accordingly witnessed increased adoption of various AI tools which …
extensively. We have accordingly witnessed increased adoption of various AI tools which …
Green Logistics 5.0: a review of sustainability-oriented innovation with foundation models in logistics
B Nicoletti, A Appolloni - European Journal of Innovation …, 2024 - emerald.com
Purpose The paper uses foundation models to integrate the green approach in Logistics 5.0.
Such integration is innovative in logistics and leads to a more sustainable and prosperous …
Such integration is innovative in logistics and leads to a more sustainable and prosperous …