A Survey on Medical Document Summarization: From Machine Learning Techniques to Large Language Models
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Akash Ghosh, Raghav Jain, Anubhav Jhangra, Sriparna Saha, Adam Jatowt |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
by: Aleka Melese Ayalew, et al.
Published: (2026)
by: Aleka Melese Ayalew, et al.
Published: (2026)
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
by: Akansha Singh, et al.
Published: (2025)
by: Akansha Singh, et al.
Published: (2025)
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight
by: Megha Khandelwal, et al.
Published: (2025)
by: Megha Khandelwal, et al.
Published: (2025)
Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
by: Jon Vadillo, et al.
Published: (2024)
by: Jon Vadillo, et al.
Published: (2024)
A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions
by: David Eduardo Pereira, et al.
Published: (2025)
by: David Eduardo Pereira, et al.
Published: (2025)
Nature‐Inspired Optimization Techniques in Deep Learning for Cybersecurity
by: S. Kumar Reddy Mallidi, et al.
Published: (2026)
by: S. Kumar Reddy Mallidi, et al.
Published: (2026)
Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues
by: Renzo Alva Principe, et al.
Published: (2025)
by: Renzo Alva Principe, et al.
Published: (2025)
A Review of Deep Learning and Large Language Models for Cold Start Problem in Recommender Systems
by: Chenlong Liu, et al.
Published: (2026)
by: Chenlong Liu, et al.
Published: (2026)
Statistical and Machine Learning Approaches for Electrical Energy Forecasting
by: Solange Machado, et al.
Published: (2025)
by: Solange Machado, et al.
Published: (2025)
From Traditional to Foundation Models: A Survey for Land Use and Land Cover Hyperspectral Image Classification
by: Radhesyam Vaddi, et al.
Published: (2025)
by: Radhesyam Vaddi, et al.
Published: (2025)
Harnessing Earth Observation and Machine Learning for Sustainable Development Goals
by: Touqeer Abbas, et al.
Published: (2025)
by: Touqeer Abbas, et al.
Published: (2025)
Exploring Machine Learning Models for Schizophrenia Detection: A Systematic Review
by: Anushka Batte, et al.
Published: (2025)
by: Anushka Batte, et al.
Published: (2025)
Security Solutions for the Internet of Things Using Machine Learning and Deep Learning: Current Trends and Future Directions
by: Himanshu Sharma, et al.
Published: (2026)
by: Himanshu Sharma, et al.
Published: (2026)
A Guide to Machine Learning Epistemic Ignorance, Hidden Paradoxes, and Other Tensions
by: M. Z. Naser
Published: (2025)
by: M. Z. Naser
Published: (2025)
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
by: Amir Mashmool, et al.
Published: (2026)
by: Amir Mashmool, et al.
Published: (2026)
A Review of Unlabeled and Imbalanced Data Challenges in Machine Learning: Strategies and Solutions
by: Neethu M S, et al.
Published: (2025)
by: Neethu M S, et al.
Published: (2025)
A Comprehensive Survey of Deep Learning Methods in Gastro‐Intestinal Wireless Capsule Endoscopy Images
by: Sharmila Vijaya Pandian, et al.
Published: (2025)
by: Sharmila Vijaya Pandian, et al.
Published: (2025)
Using Machine Learning for Systematic Literature Review Case in Point: Agile Software Development
by: Itzik David, et al.
Published: (2024)
by: Itzik David, et al.
Published: (2024)
Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing
by: S. Kumar Reddy Mallidi, et al.
Published: (2025)
by: S. Kumar Reddy Mallidi, et al.
Published: (2025)
The Intersection of Knowledge Graphs, Large Language Models, and Mass Spectrometry Data: Progress and Applications
by: Donghui Shi, et al.
Published: (2026)
by: Donghui Shi, et al.
Published: (2026)
Trace Encoding Techniques for Multi‐Perspective Process Mining: A Comparative Study
by: Antonino Rullo, et al.
Published: (2024)
by: Antonino Rullo, et al.
Published: (2024)
Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
by: Samiul Based Shuvo, et al.
Published: (2025)
by: Samiul Based Shuvo, et al.
Published: (2025)
Artificial Intelligence‐Based Waste Management: A Review of Classification, Techniques, Issues, and Challenges
by: Dhanashree Vipul Yevle, et al.
Published: (2025)
by: Dhanashree Vipul Yevle, et al.
Published: (2025)
Weak Supervision: A Survey on Predictive Maintenance
by: Antonio M. Martínez‐Heredia, et al.
Published: (2025)
by: Antonio M. Martínez‐Heredia, et al.
Published: (2025)
Application of Explainable Artificial Intelligence (XAI) Techniques in Patients With Intracranial Hemorrhage: A Systematic Review
by: Ali Kohan, et al.
Published: (2025)
by: Ali Kohan, et al.
Published: (2025)
Geospatial Data Clustering in Network Space: A Survey
by: Loan T. T. Nguyen, et al.
Published: (2025)
by: Loan T. T. Nguyen, et al.
Published: (2025)
Federated Learning and 5G/6G‐Based Internet of Medical Things (IoMT): Applications, Key Enabling Technologies, Open Issues and Future Research Directions
by: Abdul Ahad, et al.
Published: (2026)
by: Abdul Ahad, et al.
Published: (2026)
A Review on Medical Image Segmentation: Datasets, Technical Models, Challenges and Solutions
by: Hong‐Seng Gan, et al.
Published: (2025)
by: Hong‐Seng Gan, et al.
Published: (2025)
A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
by: Amutha Sadasivan, et al.
Published: (2025)
by: Amutha Sadasivan, et al.
Published: (2025)
A Systematic Literature Survey of Crowdsourcing: Current Status and Future Perspectives
by: Himanshu Suyal, et al.
Published: (2025)
by: Himanshu Suyal, et al.
Published: (2025)
A State‐Of‐The‐Art Survey of Remote Photoplethysmography for Contactless Health Parameters Sensing
by: Shadman Sakib, et al.
Published: (2025)
by: Shadman Sakib, et al.
Published: (2025)
The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data
by: Payel Santra, et al.
Published: (2025)
by: Payel Santra, et al.
Published: (2025)
Artificial Intelligence Techniques Enabled Soil Moisture Estimation Frameworks Using Remote Sensing Satellite Images: Challenges and Future Directions‐ Review
by: Mangayarkarasi Ramaiah, et al.
Published: (2025)
by: Mangayarkarasi Ramaiah, et al.
Published: (2025)
Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
by: Faijan Akhtar, et al.
Published: (2024)
by: Faijan Akhtar, et al.
Published: (2024)
Machine learning for pest detection and infestation prediction: A comprehensive review
by: Mamta Mittal, et al.
Published: (2024)
by: Mamta Mittal, et al.
Published: (2024)
A Survey of Approaches to Early Rumor Detection on Microblogging Platforms: Computational and Socio‐Psychological Insights
by: Lazarus Kwao, et al.
Published: (2025)
by: Lazarus Kwao, et al.
Published: (2025)
A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges
by: Yongkang Li, et al.
Published: (2025)
by: Yongkang Li, et al.
Published: (2025)
From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challenges
by: Anna Saranti, et al.
Published: (2024)
by: Anna Saranti, et al.
Published: (2024)
Dimensionality Reduction for Data Analysis With Quantum Feature Learning
by: Shyam R. Sihare
Published: (2024)
by: Shyam R. Sihare
Published: (2024)
XAI ‐Guided Continual Learning: Rationale, Methods, and Future Directions
by: Michela Proietti, et al.
Published: (2025)
by: Michela Proietti, et al.
Published: (2025)
Similar Items
-
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
by: Aleka Melese Ayalew, et al.
Published: (2026) -
Meta‐Heuristic Optimization for the Multi‐Classification of Chronic Disease: A Review With Machine Learning Perspectives
by: Akansha Singh, et al.
Published: (2025) -
Machine Learning and Deep Learning Techniques to Detect Mental Stress Using Various Physiological Signals: A Critical Insight
by: Megha Khandelwal, et al.
Published: (2025) -
Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans
by: Jon Vadillo, et al.
Published: (2024) -
A Comprehensive Survey of Argument Mining in the Educational Domain: Techniques, Applications, and Future Directions
by: David Eduardo Pereira, et al.
Published: (2025)