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Generative artificial intelligence (GenAI) has the potential to improve healthcare through automation that enhances the quality and safety of patient care. Powered by foundation models that have been pretrained and can generate complex…

Computers and Society · Computer Science 2024-07-25 Laleh Jalilian , Daniel McDuff , Achuta Kadambi

Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), offer powerful capabilities for interpreting the complex data landscape in healthcare. In this paper, we present a comprehensive overview of the…

Machine Learning · Computer Science 2025-09-05 Ankit Shetgaonkar , Dipen Pradhan , Lakshit Arora , Sanjay Surendranath Girija , Shashank Kapoor , Aman Raj

With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, have revolutionized medical image generation, data analysis,…

Machine Learning · Computer Science 2024-10-10 Yuan Sun , Jorge Ortiz

Generative artificial intelligence (AI) is rapidly transforming medical imaging by enabling capabilities such as data synthesis, image enhancement, modality translation, and spatiotemporal modeling. This review presents a comprehensive and…

Image and Video Processing · Electrical Eng. & Systems 2025-08-14 Xuanru Zhou , Cheng Li , Shuqiang Wang , Ye Li , Tao Tan , Hairong Zheng , Shanshan Wang

Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to help safely share medical data via synthetic datasets but also…

This review introduces the transformative potential of generative Artificial Intelligence (AI) and foundation models, including large language models (LLMs), for health technology assessment (HTA). We explore their applications in four…

Machine Learning · Computer Science 2024-09-24 Rachael Fleurence , Jiang Bian , Xiaoyan Wang , Hua Xu , Dalia Dawoud , Mitch Higashi , Jagpreet Chhatwal

The rapid advancement of Artificial Intelligence (AI) has catalyzed revolutionary changes across various sectors, notably in healthcare. In particular, generative AI-led by diffusion models and transformer architectures-has enabled…

Generative AI is rapidly transforming medical imaging and text analysis, offering immense potential for enhanced diagnosis and personalized care. However, this transformative technology raises crucial ethical, societal, and legal questions.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Onyekachukwu R. Okonji , Kamol Yunusov , Bonnie Gordon

The rapid advance of generative AI is reshaping the strategic vision for R&D across industries. The unique challenges of pharmaceutical R&D will see applications of generative AI deliver value along the entire value chain from early…

Quantitative Methods · Quantitative Biology 2023-12-21 Guy Doron , Sam Genway , Mark Roberts , Sai Jasti

Artificial Intelligence (AI) is making a major impact on healthcare, particularly through its application in natural language processing (NLP) and predictive analytics. The healthcare sector has increasingly adopted AI for tasks such as…

Databases · Computer Science 2025-06-02 Karan Hanswadkar , Anika Kanchi , Shivani Tripathi , Shi Qiao , Rony Chatterjee , Alekh Jindal

Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled capabilities for content creation, reasoning, planning, and multimodal understanding. This…

Generative Artificial Intelligence (GenAI) applies models and algorithms such as Large Language Model (LLM) and Foundation Model (FM) to generate new data. GenAI, as a promising approach, enables advanced capabilities in various…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Mozhgan Navardi , Romina Aalishah , Yuzhe Fu , Yueqian Lin , Hai Li , Yiran Chen , Tinoosh Mohsenin

Generative artificial intelligence (GenAI) has become a transformative approach in bioinformatics that often enables advancements in genomics, proteomics, transcriptomics, structural biology, and drug discovery. To systematically identify…

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology.…

Computers and Society · Computer Science 2025-03-11 Veda C. Storey , Wei Thoo Yue , J. Leon Zhao , Roman Lukyanenko

Artificial intelligence (AI) has become a commodity for people because of the advent of generative AI (GenAI) models that bridge the usability gap of AI by providing a natural language interface to interact with complex models. These GenAI…

Computation and Language · Computer Science 2025-09-30 Fabián Villena , Claudia Véliz , Rosario García-Huidobro , Sebastián Aguayo

The integration of generative AI (GenAI) and large language models (LLMs) in healthcare presents both unprecedented opportunities and challenges, necessitating innovative regulatory approaches. GenAI and LLMs offer broad applications, from…

This article explores how emerging generative artificial intelligence (GenAI) models, such as large language models (LLMs), can enhance solution methodologies within process systems engineering (PSE). These cutting-edge GenAI models,…

Machine Learning · Computer Science 2024-06-18 Benjamin Decardi-Nelson , Abdulelah S. Alshehri , Akshay Ajagekar , Fengqi You

Generative artificial intelligence (GenAI) holds the potential to transform the delivery, cultivation, and evaluation of human learning. This Perspective examines the integration of GenAI as a tool for human learning, addressing its…

Human-Computer Interaction · Computer Science 2024-09-06 Lixiang Yan , Samuel Greiff , Ziwen Teuber , Dragan Gašević

Generative AI (GenAI) systems offer unprecedented opportunities for transforming professional and personal work, yet present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. We argue that…

Human-Computer Interaction · Computer Science 2024-07-08 Lev Tankelevitch , Viktor Kewenig , Auste Simkute , Ava Elizabeth Scott , Advait Sarkar , Abigail Sellen , Sean Rintel
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