Leveraging generative AI and large language models: a comprehensive roadmap for healthcare integration

P Yu, H Xu, X Hu, C Deng - Healthcare, 2023 - mdpi.com
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …

Generative ai meets responsible ai: Practical challenges and opportunities

K Kenthapadi, H Lakkaraju, N Rajani - Proceedings of the 29th ACM …, 2023 - dl.acm.org
Generative AI models and applications are being rapidly developed and deployed across a
wide spectrum of industries and applications ranging from writing and email assistants to …

Generalist vision foundation models for medical imaging: A case study of segment anything model on zero-shot medical segmentation

P Shi, J Qiu, SMD Abaxi, H Wei, FPW Lo, W Yuan - Diagnostics, 2023 - mdpi.com
Medical image analysis plays an important role in clinical diagnosis. In this paper, we
examine the recent Segment Anything Model (SAM) on medical images, and report both …

Next-generation deep learning based on simulators and synthetic data

CM De Melo, A Torralba, L Guibas, J DiCarlo… - Trends in cognitive …, 2022 - cell.com
Deep learning (DL) is being successfully applied across multiple domains, yet these models
learn in a most artificial way: they require large quantities of labeled data to grasp even …

The era of artificial intelligence deception: Unraveling the complexities of false realities and emerging threats of misinformation

SM Williamson, V Prybutok - Information, 2024 - mdpi.com
This study delves into the dual nature of artificial intelligence (AI), illuminating its
transformative potential that has the power to revolutionize various aspects of our lives. We …

Opportunities and challenges of generative AI in construction industry: Focusing on adoption of text-based models

P Ghimire, K Kim, M Acharya - Buildings, 2024 - mdpi.com
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

A comprehensive review on synergy of multi-modal data and ai technologies in medical diagnosis

X Xu, J Li, Z Zhu, L Zhao, H Wang, C Song, Y Chen… - Bioengineering, 2024 - mdpi.com
Disease diagnosis represents a critical and arduous endeavor within the medical field.
Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to …

Recent advances in large language models for healthcare

K Nassiri, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Recent advances in the field of large language models (LLMs) underline their high potential
for applications in a variety of sectors. Their use in healthcare, in particular, holds out …

Advances and challenges in deep learning-based change detection for remote sensing images: A review through various learning paradigms

L Wang, M Zhang, X Gao, W Shi - Remote Sensing, 2024 - mdpi.com
Change detection (CD) in remote sensing (RS) imagery is a pivotal method for detecting
changes in the Earth's surface, finding wide applications in urban planning, disaster …

The application of radiomics and AI to molecular imaging for prostate cancer

W Tapper, G Carneiro, C Mikropoulos… - Journal of personalized …, 2024 - mdpi.com
Molecular imaging is a key tool in the diagnosis and treatment of prostate cancer (PCa).
Magnetic Resonance (MR) plays a major role in this respect with nuclear medicine imaging …