Image de couverture de livre

Applications of Generative AI in Healthcare: algorithmic, ethical, legal and societal considerations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Okonji, Onyekachukwu R., Yunusov, Kamol, Gordon, Bonnie
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
par: Agarwal, Siddharth, et autres
Publié: (2024)

Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis
par: Xu, Jingyu, et autres
Publié: (2024)

Finding AI-Generated Faces in the Wild
par: Porcile, Gonzalo J. Aniano, et autres
Publié: (2023)

AI-Based Thermal Video Analysis in Privacy-Preserving Healthcare: A Case Study on Detecting Time of Birth
par: García-Torres, Jorge, et autres
Publié: (2025)

An AI-Enabled Framework Within Reach for Enhancing Healthcare Sustainability and Fairness
par: Huang, Bin, et autres
Publié: (2024)

The Era of Foundation Models in Medical Imaging is Approaching : A Scoping Review of the Clinical Value of Large-Scale Generative AI Applications in Radiology
par: Seo, Inwoo, et autres
Publié: (2024)

Approach to Designing CV Systems for Medical Applications: Data, Architecture and AI
par: Ryabtsev, Dmitry, et autres
Publié: (2025)

Uneven Evolution of Cognition Across Generations of Generative AI Models
par: Galatzer-Levy, Isaac, et autres
Publié: (2026)

Automatic Medical Report Generation: Methods and Applications
par: Guo, Li, et autres
Publié: (2024)

Generative AI in Vision: A Survey on Models, Metrics and Applications
par: Raut, Gaurav, et autres
Publié: (2024)

SAGA: Source Attribution of Generative AI Videos
par: Kundu, Rohit, et autres
Publié: (2025)

Nepotistically Trained Generative-AI Models Collapse
par: Bohacek, Matyas, et autres
Publié: (2023)

Generative Physical AI in Vision: A Survey
par: Liu, Daochang, et autres
Publié: (2025)

Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare
par: Li, Zhikai, et autres
Publié: (2024)

Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare
par: Chhetri, Aavash, et autres
Publié: (2026)

A Comparative Study of YOLOv8 to YOLOv11 Performance in Underwater Vision Tasks
par: Hung, Gordon, et autres
Publié: (2025)

Democratizing the medieval English legal tradition
par: Zhang, Michael, et autres
Publié: (2026)

Visual Large Language Models for Generalized and Specialized Applications
par: Li, Yifan, et autres
Publié: (2025)

Detecting AI-Generated Video via Frame Consistency
par: Ma, Long, et autres
Publié: (2024)

MIRAGE: Towards AI-Generated Image Detection in the Wild
par: Xia, Cheng, et autres
Publié: (2025)

Efficient Zero-Shot AI-Generated Image Detection
par: Sonoda, Ryosuke, et autres
Publié: (2026)

Leveraging Generative AI Models to Explore Human Identity
par: Yeo, Yunha, et autres
Publié: (2025)

Warfare:Breaking the Watermark Protection of AI-Generated Content
par: Li, Guanlin, et autres
Publié: (2023)

Generating Satellite Imagery Data for Wildfire Detection through Mask-Conditioned Generative AI
par: Martin, Valeria, et autres
Publié: (2026)

Artificial Intelligence-Based Opportunistic Coronary Calcium Screening in the Veterans Affairs National Healthcare System
par: Hagopian, Raffi, et autres
Publié: (2024)

Qualitative Failures of Image Generation Models and Their Application in Detecting Deepfakes
par: Borji, Ali
Publié: (2023)

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks
par: Barman, Niyar R, et autres
Publié: (2024)

Deep Learning Models for Coral Bleaching Classification in Multi-Condition Underwater Image Datasets
par: Macrohon, Julio Jerison E., et autres
Publié: (2025)

GenAI Arena: An Open Evaluation Platform for Generative Models
par: Jiang, Dongfu, et autres
Publié: (2024)

AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI
par: Fan, Fanda, et autres
Publié: (2024)

UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints
par: Alam, Inzamamul, et autres
Publié: (2024)

Generative AI-Driven High-Fidelity Human Motion Simulation
par: Iyer, Hari, et autres
Publié: (2025)

AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequences
par: Li, Jieyu, et autres
Publié: (2025)

Addressing Image Authenticity When Cameras Use Generative AI
par: Masud, Umar, et autres
Publié: (2026)

Understanding Generative AI Capabilities in Everyday Image Editing Tasks
par: Taesiri, Mohammad Reza, et autres
Publié: (2025)

Your One-Stop Solution for AI-Generated Video Detection
par: Ma, Long, et autres
Publié: (2026)

Selective Visual Representations Improve Convergence and Generalization for Embodied AI
par: Eftekhar, Ainaz, et autres
Publié: (2023)

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward
par: Islam, Muhammad, et autres
Publié: (2025)

When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection
par: Kim, Jihyeon, et autres
Publié: (2026)

Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices
par: Watt, Tess, et autres
Publié: (2024)