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Irene Schettini, Gabriele Palozzi and Antonio Chirico
In the healthcare field, the decision-making process is part of the broad spectrum of ?clinical reasoning?, which is recognised as the whole process by which a physician decides about patients? treatments and cares. Several clinicians? intrinsic variable...
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Betty Kambeja Sakala
Pág. 28 - 32
Clinical decision-making is an important element in midwifery practice. Midwives are required to have a sound knowledge to manage complications during childbirth. Any misjudgement by a midwife may lead to adverse birth outcomes. The aim of this paper is ...
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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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Azizi Seixas, Shannique Richards, Jesse Q. Moore, Chigozirim Izeogu, Laronda A. Hollimon, Peng Jin and Girardin Jean-Louis
The primary objective of this randomized trial was to test the effectiveness of the PREDHiCT digital application, which provides educational and supportive navigation to increase willingness to participate in a future clinical trial. The second objective...
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Jinhong Yang, Md Mehedi Hassan Onik, Nam-Yong Lee, Mohiuddin Ahmed and Chul-Soo Kim
The work facilitates a collaborative medical decision-making scheme among patients, doctors and insurance companies through a blockchain-based architecture.
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Peck Chui Betty Khong, Leng Noey Lee and Apolino Ilagan Dawang
The selection of appropriate wound products for the treatment of pressure injuries is paramount in promoting wound healing. However, nurses find it difficult to decide on the most optimal wound product(s) due to limited live experiences in managing press...
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Mahanazuddin Syed, Shorabuddin Syed, Kevin Sexton, Hafsa Bareen Syeda, Maryam Garza, Meredith Zozus, Farhanuddin Syed, Salma Begum, Abdullah Usama Syed, Joseph Sanford and Fred Prior
Modern Intensive Care Units (ICUs) provide continuous monitoring of critically ill patients susceptible to many complications affecting morbidity and mortality. ICU settings require a high staff-to-patient ratio and generates a sheer volume of data. For ...
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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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Zubin Mishra, Ziyuan Wang, SriniVas R. Sadda and Zhihong Hu
This study shows promising results for the development of artificial intelligence tools for the predicting of the progression of Stargardt disease. It further offers the possibility of differentiating patients with Stargardt disease based on predicted pr...
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Lori Bradford, Kwok P. Chun, Rupal Bonli and Graham Strickert
Currently, there are no tools that measure improvements in levels of empathy among diverse water stakeholders participating in transboundary decision-making. In this study, we used an existing empathy scale from clinical psychology during an Experimental...
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Jie Xu, Xing He, Wei Shao, Jiang Bian and Russell Terry
Up to 20% of renal masses =4 cm is found to be benign at the time of surgical excision, raising concern for overtreatment. However, the risk of malignancy is currently unable to be accurately predicted prior to surgery using imaging alone. The objective ...
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Mohamed Hassan Elnaem, Merna Mahmoud AbouKhatwa, Mahmoud E. Elrggal and Inderpal Singh Dehele
Globally, the prevalence of attention deficit hyperactivity disorder (ADHD) is increasing. The treatment for ADHD is multifaceted and requires long-term care and support. Pharmacists are capable of assisting patients and their caretakers in achieving des...
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Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu and Ali Cinar
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms ana...
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Usharani Bhimavarapu, Nalini Chintalapudi and Gopi Battineni
The importance of online recommender systems for drugs, medical professionals, and hospitals is growing. Today, the majority of people use online consultations for drug recommendations for all types of health issues. Emergencies such as pandemics, floods...
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Jean Pierre Tincopa, Rodrigo Salazar-Gamarra, Madaleine Lopez-Hinostroza, Belén Moya-Salazar, Hans Contreras-Pulache and Jeel Moya-Salazar
The objective of the present study is to make a comparison between various free and open-source software used for medical image processing, such as 3D Slicer (version 4.11), ITK-Snap (version 3.8), and Invesalius (version 3.1) in its application for the ...
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Chia-Hui Huang, Bak-Sau Yip, David Taniar, Chi-Shin Hwang and Tun-Wen Pai
Electronic Medical Records (EMRs) can be used to create alerts for clinicians to identify patients at risk and to provide useful information for clinical decision-making support. In this study, we proposed a novel approach for predicting Amyotrophic Late...
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Fernando Ribeiro, Filipe Fidalgo, Arlindo Silva, José Metrôlho, Osvaldo Santos and Rogério Dionisio
Pressure ulcers are associated with significant morbidity, resulting in a decreased quality of life for the patient, and contributing to healthcare professional burnout, as well as an increase of health service costs. Their prompt diagnosis and treatment...
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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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Oguz Akbilgic, Ramin Homayouni, Kevin Heinrich, Max Raymond Langham and Robert Lowell Davis
Text fields in electronic medical records (EMR) contain information on important factors that influence health outcomes, however, they are underutilized in clinical decision making due to their unstructured nature. We analyzed 6497 inpatient surgical cas...
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