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Daswin De Silva,Frada Burstein,Herbert F. Jelinek,Andrew Stranieri
The healthcare industry generates a high throughput of medical, clinical and omics data of varying complexity and features. Clinical decision-support is gaining widespread attention as medical institutions and governing bodies turn towards better managem...
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Amandine René, Sophie Aufort, Salim Si Mohamed, Jean Pierre Daures, Stéphane Chemouny, Christophe Bonnel and Benoit Gallix
Decision support tools exist for oncologic follow up. Their main interest is to help physicians improve their oncologic readings but this theoretical benefit has to be quantified by concrete evidence. The purpose of the study was to evaluate and quantify...
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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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Vlad Al. Georgeanu, Oana Gingu, Iulian V. Antoniac and Horia O. Manolea
The ideal biomaterials substitute for bone repair should possess the following characteristics: provide osteogenic, osteoinductive and osteoconductive properties; stimulate the neo-angiogenesis process; absence of antigenic, teratogenic or carcinogenic r...
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Akram Mustafa and Mostafa Rahimi Azghadi
Machine learning (ML) has been slowly entering every aspect of our lives and its positive impact has been astonishing. To accelerate embedding ML in more applications and incorporating it in real-world scenarios, automated machine learning (AutoML) is em...
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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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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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Xieling Chen, Haoran Xie, Gary Cheng, Leonard K. M. Poon, Mingming Leng and Fu Lee Wang
Natural language processing (NLP) is an effective tool for generating structured information from unstructured data, the one that is commonly found in clinical trial texts. Such interdisciplinary research has gradually grown into a flourishing research f...
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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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Jerris R. Hedges, Karam F. A. Soliman, Gene D?Amour, Dong Liang, Carlos E. Rodríguez-Díaz, Kenira Thompson, Josefina Romaguera, Silvia E. Rabionet Sabater and Richard Yanagihara
On 30 October 2017, selected faculty and administrators from Research Centers in Minority Institutions (RCMI) grantee institutions gathered to share first-hand accounts of the devastating impact of Hurricanes Harvey, Irma, and Maria, which had interrupte...
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Nazia Ejaz, Saad Jawaid Khan, Fahad Azim, Mehwish Faiz, Emil Teu?an, Alin Ple?a, Alexandru Ianosi-Andreeva-Dimitrova and Sergiu-Dan Stan
Fragility fractures, caused by low-energy trauma, are a significant global health concern, with 158 million people aged 50 and over at risk. Hip fractures, a common issue in elderly patients, are often linked to underlying conditions such as osteoporosis...
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Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo and Jiang Bian
It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous res...
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Erkihun Amsalu, Ying Zhang, Christopher Harrison, Tan Van Nguyen and Tu Ngoc Nguyen
Advances in cardiovascular therapies and cancer treatments have resulted in longer patient survival. The coexistence of cancer and cardiovascular disease has been recognized as a complex clinical scenario. In addition to cardiovascular disease, older peo...
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Anna M. Girardi, Elizabeth A. Cardell and Stephen P. Bird
Radiological imaging is an essential component of a swallowing assessment. Artificial intelligence (AI), especially deep learning (DL) models, has enhanced the efficiency and efficacy through which imaging is interpreted, and subsequently, it has importa...
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Jingyang Zhang, Sofiya-Roksolana Got, Iris Xiaoxue Yin, Edward Chin-Man Lo and Chun-Hung Chu
Studies have shown that silver diamine fluoride (SDF) is an effective agent to arrest and prevent dental caries due to its mineralizing and antibacterial properties. While plenty of studies have investigated the mineralizing properties, there are few pap...
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Thomas T. H. Wan and Hunter S. Wan
Context. This commentary is based on an innovative approach to the development of predictive analytics. It is centered on the development of predictive models for varying stages of chronic disease through integrating all types of datasets, adds various n...
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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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Chien-Chang Chen, Meng-Yuan Tsai, Ming-Ze Kao and Henry Horng-Shing Lu
The research work proposes an avenue of image segmentation that can simultaneously reduce computational complexity and filter image pollution for clinical investigations.
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Lucie Vialard, Clara Squiban, Gilles Riveau, Emmanuel Hermann, Doudou Diop, Florence Fournet, Gérard Salem and Ellen E. Foley
This study contributes to the literature about the effects of space and place on health by introducing a socio-territorial approach to urban health disparities in West Africa. It explores how urban spaces, specifically neighbourhoods, are shaped by socia...
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Muhammad Shoaib Arif, Aiman Mukheimer and Daniyal Asif
Clinical decision-making in chronic disorder prognosis is often hampered by high variance, leading to uncertainty and negative outcomes, especially in cases such as chronic kidney disease (CKD). Machine learning (ML) techniques have emerged as valuable t...
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