A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Olivier Bernard, Alain Lalande, Clément Zotti, et al.
Introduces the ACDC dataset and benchmarks deep learning methods for automatic cardiac MRI segmentation and diagnosis, achieving near-expert accuracy.
Fabio Galbusera, Gloria Casaroli, Tito Bassani
A narrative review of AI and ML techniques applied to spine research, covering localization, segmentation, diagnosis, outcome prediction, decision support, and ethical issues.
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This paper proposes a Graph RAG-based fault diagnosis system for train bogies that integrates knowledge graphs with large language models to enable dynamic knowledge extraction and improved diagnostic accuracy.
Tagne Poupi Theodore Armand, Kintoh Allen Nfor, Jung-In Kim, et al.
This systematic review comprehensively maps AI, ML, and DL applications in nutrition, highlighting smart personalized nutrition, dietary assessment, food recognition, and predictive modeling for disease prevention and diagnosis.
Ming Li, Xirui Li, Tianyi Zhou
This paper presents the first large-scale systemic diagnosis of an AI agent society, revealing that scale and interaction density alone are insufficient to induce socialization.
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman, et al.
Deep learning transforms H&E stained tissue images into virtual special stains, improving kidney disease diagnosis with statistical significance.
Farieda Gaber, Maqsood Shaik, Fabio Allega, et al.
Benchmarks LLMs and a RAG workflow on 2000 MIMIC-derived medical cases for triage, referral, and diagnosis support.
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, et al.
The PANDA challenge demonstrated that diverse AI algorithms can achieve pathologist-level Gleason grading of prostate cancer biopsies across multinational cohorts.
Sungwon Lee, Joon-Yong Jung, Akaworn Mahatthanatrakul, et al.
This review evaluates AI's impact on spinal imaging and care, covering image quality, diagnosis, surgical planning, and personalized predictions.