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Detection-based Prioritisation: Framework of Multi-laboratory Characteristics for Asymptomatic COVID-19 Carriers Based on Integrated Entropy–TOPSIS Methods
Publication date: Available online 7 November 2020Source: Artificial Intelligence in MedicineAuthor(s): A.S. Albahri, Rula A. Hamid (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 7, 2020 Category: Bioinformatics Source Type: research

Prediction of Breast Cancer Distant Recurrence Using Natural Language Processing and Knowledge-guided Convolutional Neural Network
Publication date: Available online 1 November 2020Source: Artificial Intelligence in MedicineAuthor(s): Hanyin Wang, Yikuan Li, Seema A Khan, Yuan Luo (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 3, 2020 Category: Bioinformatics Source Type: research

A Stochastic Multi-Agent Approach for Medical-Image Segmentation: Application to Tumor Segmentation in Brain MR Images
Publication date: Available online 2 November 2020Source: Artificial Intelligence in MedicineAuthor(s): Mohamed T. Bennai, Zahia Guessoum, Smaine Mazouzi, Stéphane Cormier, Mohamed Mezghiche (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 3, 2020 Category: Bioinformatics Source Type: research

Sleep Stage Classification for Child Patients Using DeConvolutional Neural Network
Publication date: Available online 2 November 2020Source: Artificial Intelligence in MedicineAuthor(s): Xinyu Huang, Kimiaki Shirahama, Frédéric Li, Marcin Grzegorzek (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 3, 2020 Category: Bioinformatics Source Type: research

Editorial Board
Publication date: September 2020Source: Artificial Intelligence in Medicine, Volume 109Author(s): (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 24, 2020 Category: Bioinformatics Source Type: research

Autoencoded DNA Methylation Data to Predict Breast Cancer Recurrence: Machine Learning Models and Gene-Weight Significance
Publication date: Available online 22 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Laura Macías-García, María Martínez-Ballesteros, José María Luna-Romera, José M. García-Heredia, Jorge García-Gutiérrez, José C. Riquelme-Santos (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 22, 2020 Category: Bioinformatics Source Type: research

Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
Publication date: Available online 21 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 21, 2020 Category: Bioinformatics Source Type: research

Supervised classification of bradykinesia in Parkinson’s disease from smartphone videos
Publication date: November 2020Source: Artificial Intelligence in Medicine, Volume 110Author(s): Stefan Williams, Samuel D. Relton, Hui Fang, Jane Alty, Rami Qahwaji, Christopher D. Graham, David C. Wong (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 21, 2020 Category: Bioinformatics Source Type: research

The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future
Publication date: Available online 6 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Isabel Straw (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 7, 2020 Category: Bioinformatics Source Type: research

Supervised classification of bradykinesia in Parkinson's disease from smartphone videos
Publication date: Available online 6 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Stefan Williams, Samuel D. Relton, Hui Fang, Jane Alty, Rami Qahwaji, Christopher D. Graham, David C. Wong (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 7, 2020 Category: Bioinformatics Source Type: research

Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Publication date: Available online 7 October 2020Source: Artificial Intelligence in MedicineAuthor(s): Marija D. Ivanović, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukčević, Ljupco Hadžievski, Bjoern Eskofier (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - October 7, 2020 Category: Bioinformatics Source Type: research

Reinforcement Learning for Intelligent Healthcare Applications: A Survey
Publication date: Available online 28 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Antonio Coronato, Muddasar Naeem, Giuseppe De Pietro, Giovanni Paragliola (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 30, 2020 Category: Bioinformatics Source Type: research

Recommendations for enhancing the usability and understandability of process mining in healthcare
Publication date: Available online 28 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Niels Martin, Jochen De Weerdt, Carlos Fernández-Llatas, Avigdor Gal, Roberto Gatta, Gema Ibáñez, Owen Johnson, Felix Mannhardt, Luis Marco-Ruiz, Steven Mertens, Jorge Munoz-Gama, Fernando Seoane, Jan Vanthienen, Moe Thandar Wynn, David Baltar Boilève, Jochen Bergs, Mieke Joosten-Melis, Stijn Schretlen, Bart Van Acker (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 30, 2020 Category: Bioinformatics Source Type: research

Editorial Board
Publication date: August 2020Source: Artificial Intelligence in Medicine, Volume 108Author(s): (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 24, 2020 Category: Bioinformatics Source Type: research

Exploiting Complex Medical Data with Interpretable Deep Learning for Adverse Drug Event Prediction
Publication date: Available online 15 September 2020Source: Artificial Intelligence in MedicineAuthor(s): Jonathan Rebane, Isak Samsten, Panagiotis Papapetrou (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - September 16, 2020 Category: Bioinformatics Source Type: research