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Medicine

Medicine Paper Reviews

AI-generated reviews of key Medicine papers, structured into motivation, method, and results.

All Computer Science Mathematics Physics and Astronomy Engineering Materials Science Chemistry Chemical Engineering Earth and Planetary Sciences Environmental Science Energy Biochemistry, Genetics and Molecular Biology Neuroscience Immunology and Microbiology Agricultural and Biological Sciences Medicine Pharmacology, Toxicology and Pharmaceutics Health Professions Economics, Econometrics and Finance Business, Management and Accounting Decision Sciences Social Sciences Psychology Arts and Humanities

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4,880 results

Bibliometric Perspectives on Medical Innovation using the Medical Subject Headings (MeSH) of PubMed

Loet Leydesdorff, Daniele Rotolo, +1

arXiv (Cornell University)|2012|11 citations

C3: Cross-instance guided Contrastive Clustering

Mohammadreza Sadeghi, Hadi Hojjati, +1

arXiv (Cornell University)|2022|11 citations

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages

Qusai Khraisha, S. Van Put, +3

arXiv (Cornell University)|2023|11 citations

Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge

Xiahai Zhuang, Jiahang Xu, +21

arXiv (Cornell University)|2020|11 citations

Cell transformation in tumor-development: a result of accumulation of Misrepairs of DNA through many generations of cells

Jicun Wang-Michelitsch, Thomas M. Michelitsch

arXiv (Cornell University)|2015|11 citations

ChatGPT is a Remarkable Tool -- For Experts

Amos Azaria, Rina Azoulay, +1

arXiv (Cornell University)|2023|11 citations

ChatGPT: More than a Weapon of Mass Deception, Ethical challenges and responses from the Human-Centered Artificial Intelligence (HCAI) perspective

Alejo José G. Sisón, Marco Tulio Daza, +2

arXiv (Cornell University)|2023|11 citations

CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness

Nick A. Phillips, Pranav Rajpurkar, +8

arXiv (Cornell University)|2020|11 citations

Coarse race data conceals disparities in clinical risk score performance

Rajiv Movva, Divya Shanmugam, +5

arXiv (Cornell University)|2023|11 citations

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

Hong-Yu Zhou, Shuang Yu, +4

arXiv (Cornell University)|2020|11 citations

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