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Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, Jayashree Mayuren, Susmita Patra and Mayuren Candasamy
Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently, can analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a great...
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Stefano Marchesin, Giorgio Maria Di Nunzio and Maristella Agosti
In Information Retrieval (IR), the semantic gap represents the mismatch between users? queries and how retrieval models answer to these queries. In this paper, we explore how to use external knowledge resources to enhance bag-of-words representations and...
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Felix D. Beacher, Lilianne R. Mujica-Parodi, Shreyash Gupta and Leonardo A. Ancora
The ability to predict the individual outcomes of clinical trials could support the development of tools for precision medicine and improve the efficiency of clinical-stage drug development. However, there are no published attempts to predict individual ...
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Nataly Martini, Kate Farmer, Shambhavi Patil, Gauis Tan, Cindy Wang, Lucy Wong and Craig S. Webster
?Ready to Practice??(R2P) is a virtual patient simulation designed for undergraduate medical and pharmacy students. After initial prototyping, R2P developed into a screen-based virtual patient (VP) simulation with an intuitive interface using photorealis...
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Terrence C. Lee, Neil U. Shah, Alyssa Haack and Sally L. Baxter
Predictive analytics using electronic health record (EHR) data have rapidly advanced over the last decade. While model performance metrics have improved considerably, best practices for implementing predictive models into clinical settings for point-of-c...
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Maria Gorete Monteguti Savi,Edna Lucia da Silva
Pesquisa que analisa o fluxo da informação na prática clínica dos médicos residentes. Para tal, considera os preceitos da medicina baseada em evidências (MBE) e elege como lócus de pesquisa o Hospital Universitário da UFSC e como universo os médicos resi...
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Laura Stevens, David Kao, Jennifer Hall, Carsten Görg, Kaitlyn Abdo and Erik Linstead
Accessible interactive tools that integrate machine learning methods with clinical research and reduce the programming experience required are needed to move science forward. Here, we present Machine Learning for Medical Exploration and Data-Inspired Car...
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Anna Feleki, Ioannis D. Apostolopoulos, Serafeim Moustakidis, Elpiniki I. Papageorgiou, Nikolaos Papathanasiou, Dimitrios Apostolopoulos and Nikolaos Papandrianos
Myocardial Perfusion Imaging (MPI) has played a central role in the non-invasive identification of patients with Coronary Artery Disease (CAD). Clinical factors, such as recurrent diseases, predisposing factors, and diagnostic tests, also play a vital ro...
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Hanna-Leena Melender
Pág. Article ID
Synopsis: The evidence based practice (EBP) movement started at the beginning of 1970s in the field of medicine. The famous definition by Sackett et al. (1997, p. 2) defined evidence-based medicine as ?the conscientious, explicit and judicious use of cur...
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Ruslan Vafin,Rashit Nasyrov,Rustem Zulkarneev
Pág. 21 - 28
Currently, one of the promising areas in medicine is personalized medicine, which allows selecting the optimal treatment for each individual patient. Within the framework of the national program "Digital Economy of the Russian Federation", artificial int...
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Ruslan Vafin,Rashit Nasyrov,Rustem Zulkarneev
Pág. 21 - 28
Currently, one of the promising areas in medicine is personalized medicine, which allows selecting the optimal treatment for each individual patient. Within the framework of the national program "Digital Economy of the Russian Federation", artificial int...
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Nisrine Berros, Fatna El Mendili, Youness Filaly and Younes El Bouzekri El Idrissi
Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social ...
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Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
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Antonio Romano, Federica Di Spirito, Alessandra Amato, Giuseppe Andrea Ferraro, Gianna Dipalma, Edit Xhajanka, Rosario Serpico, Francesco Inchingolo and Maria Contaldo
The innovative perspectives of the modern medical era aim to reach the highest performance and accuracy of therapeutic processes carried out for the evolution of diagnostic pathways. Digital planning and real-time diagnosis represent the hottest topics f...
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Deniz Can Guven, Taha Koray Sahin, Alessandro Rizzo, Angela Dalia Ricci, Sercan Aksoy and Kazim Sahin
Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy and reshaped medical oncology practice over the past decade. However, despite unprecedented and durable clinical responses, most patients eventually fail to respond to ICI therapy due...
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Johane H. Bracamonte, Sarah K. Saunders, John S. Wilson, Uyen T. Truong and Joao S. Soares
Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as in...
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Imène Jraidi, Maher Chaouachi, Asma Ben Khedher, Susanne P. Lajoie and Claude Frasson
This paper presents an experimental study that analyzes learners? visual behaviour and brain activity in clinical reasoning. An acquisition protocol was defined to record eye tracking and EEG data from 15 participants as they interact with a computer-bas...
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Deepika Verma, Kerstin Bach and Paul Jarle Mork
The field of patient-centred healthcare has, during recent years, adopted machine learning and data science techniques to support clinical decision making and improve patient outcomes. We conduct a literature review with the aim of summarising the existi...
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Lars Boeckmann, Mirijam Schäfer, Thoralf Bernhardt, Marie Luise Semmler, Ole Jung, Gregor Ojak, Tobias Fischer, Kirsten Peters, Barbara Nebe, Brigitte Müller-Hilke, Christian Seebauer, Sander Bekeschus and Steffen Emmert
Plasma medicine is gaining increasing attention and is moving from basic research into clinical practice. While areas of application are diverse, much research has been conducted assessing the use of cold atmospheric pressure plasma (CAP) in wound healin...
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Ryeonhui Kim, Kyuseok Kim and Youngjin Lee
Ultrasound imaging is widely used as a noninvasive lesion detection method in diagnostic medicine. Improving the quality of these ultrasound images is very important for accurate diagnosis, and deep learning-based algorithms have gained significant atten...
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