Detecting hallucinations in large language models using semantic entropy
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn et al. · Nature · 2024
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Artificial Intelligence
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43 papers1 CorrectedQuestions on this topic
Corrected Evaluation metrics and statistical tests for machine learning
Oona Rainio, Jarmo Teuho, Riku Klén · Scientific Reports · 2024
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Large language models to identify social determinants of health in electronic health records
Marco Guevara, Shan Chen, Spencer Thomas et al. · npj Digital Medicine · 2024
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Suppressing quantum errors by scaling a surface code logical qubit
Google Quantum AI, Rajeev Acharya, Igor Aleiner et al. · Nature · 2023
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Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian et al. · Nature · 2023
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Logical quantum processor based on reconfigurable atom arrays
Dolev Bluvstein, Simon J. Evered, Alexandra A. Geim et al. · Nature · 2023
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Self-supervised learning for medical image classification: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Malte Jensen et al. · npj Digital Medicine · 2023 · Review
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Digital pathology and artificial intelligence in translational medicine and clinical practice
Vipul Baxi, Robin Edwards, Michael Montalto et al. · Modern Pathology · 2022 · Review
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Photonic matrix multiplication lights up photonic accelerator and beyond
Hailong Zhou, Jianji Dong, Junwei Cheng et al. · Light: Science & Applications · 2022 · Review
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Transfer learning: a friendly introduction
Asmaul Hosna, Ethel Merry, Jigmey Gyalmo et al. · Journal of Big Data · 2022
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Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al. · Nature Medicine · 2022
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Long-term cancer survival prediction using multimodal deep learning
Luís A. Vale-Silva, Karl Rohr · Scientific Reports · 2021
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Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes
James A. Diao, Jason K. Wang, Wan Fung Chui et al. · Nature Communications · 2021
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Independent real‐world application of a clinical‐grade automated prostate cancer detection system
Leonard M da Silva, Emilio M Pereira, Paulo GO Salles et al. · The Journal of Pathology · 2021
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Human- versus Artificial Intelligence
J. E. (Hans). Korteling, G. C. van de Boer-Visschedijk, R. A. M. Blankendaal et al. · Frontiers in Artificial Intelligence · 2021 · Review
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Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer
Rui Cao, Fan Yang, Si-Cong Ma et al. · Theranostics · 2020
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Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J Murray et al. · The Lancet Digital Health · 2020
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Deep learning in cancer pathology: a new generation of clinical biomarkers
Amelie Echle, Niklas Timon Rindtorff, Titus Josef Brinker et al. · British Journal of Cancer · 2020 · Review
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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning
Zhigang Song, Shuangmei Zou, Weixun Zhou et al. · Nature Communications · 2020
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A critique of pure learning and what artificial neural networks can learn from animal brains
Anthony M. Zador · Nature Communications · 2019 · Review
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