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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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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medicX-KG: a knowledge graph for pharmacists’ drug information needs
Lizzy Farrugia, Lilian M. Azzopardi, Jeremy Debattista et al. · Journal of Biomedical Semantics · 2025
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Extended Topic Model Based Abnormal Medical Prescription Detection Method
LIU Shaoqin, TANG Shuang, ZHAO Junfeng, WANG Yasha, ZHUO Lin · Jisuanji kexue yu tansuo · 2020
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Summarization from Medical Documents: A Survey
Stergos D. Afantenos, Vangelis Karkaletsis, Panagiotis Stamatopoulos · Artificial Intelligence in Medicine, Volume 33, Issue 2, February 2005, Pages 157-177 · 2005
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Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records
Hong-Jie Dai, Tatheer Hussain Mir, Ching-Tai Chen et al. · npj Digital Medicine · 2025
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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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Diagnosis Support Model of Cardiomegaly Based on CNN Using ResNet and Explainable Feature Map
Hyun Yoo, Soyoung Han, Kyungyong Chung · IEEE Access · 2021
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State-of-the-art in artificial neural network applications: A survey
Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara et al. · Heliyon · 2018 · Review
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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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Artificial intelligence-based preoperative prediction system for diagnosis and prognosis in epithelial ovarian cancer: A multicenter study
Meixuan Wu, Meixuan Wu, Yaqian Zhao et al. · Frontiers in Oncology · 2022
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AI and freedom for evolution in energy science
Adrian Bejan · Energy and AI · 2020
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Editorial: Merging symbolic and data-driven AI for robot autonomy
Daniele Meli, Mohan Sridharan, Simona Perri et al. · Frontiers in Robotics and AI · 2025
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Cumulative learning enables convolutional neural network representations for small mass spectrometry data classification
Khawla Seddiki, Philippe Saudemont, Frédéric Precioso et al. · Nature Communications · 2020
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Rerendering Semantic Ontologies: Automatic Extensions to UMLS through Corpus Analytics
J. Pustejovsky, A. Rumshisky, J. Castano · LREC 2002 Workshop on Ontologies and Lexical Knowledge Bases · 2002
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A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans
Nikolaos Papandrianos, Elpiniki Papageorgiou, Athanasios Anagnostis et al. · Applied Sciences · 2020
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Resource-efficient quantum algorithm for protein folding
Anton Robert, Panagiotis Kl. Barkoutsos, Stefan Woerner et al. · npj Quantum Information · 2021
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Subpopulation Discovery in Epidemiological Data with Subspace Clustering
Niemann Uli, Spiliopoulou Myra, Völzke Henry et al. · Foundations of Computing and Decision Sciences · 2014
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Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study
Tong, Yao, Messinger, Amanda I, Wilcox, Adam B et al. · Journal of Medical Internet Research · 2021
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Author Correction: A beneficial role of computer-aided diagnosis system for less experienced physicians in the diagnosis of thyroid nodule on ultrasound
Sunyoung Kang, Eunjung Lee, Chae Won Chung et al. · Scientific Reports · 2021
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