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Ichchha Pradeep Sharma, Tam V. Nguyen, Shruti Ajay Singh and Tom Ongwere
This paper focuses on addressing the complex healthcare needs of patients struggling with discordant chronic comorbidities (DCCs). Managing these patients within the current healthcare system often proves to be a challenging process, characterized by evo...
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Gerardo Cazzato, Marialessandra Capuzzolo, Paola Parente, Francesca Arezzo, Vera Loizzi, Enrica Macorano, Andrea Marzullo, Gennaro Cormio and Giuseppe Ingravallo
The advent of Artificial Intelligence (AI) has in just a few years supplied multiple areas of knowledge, including in the medical and scientific fields. An increasing number of AI-based applications have been developed, among which conversational AI has ...
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Weihong Guo and Yiwei He
This study argues that medical data should be better utilized and attention should be paid to the patient?s visual experience during their journey to the emergency department (ED). Wayfinding in medical settings remains a challenge for patients. One reas...
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Luca Giordano, Andrea Francavilla, Corrado Lanera, Sara Urru, Paola Berchialla and Ileana Baldi
Patients are the most important actors in clinical research. Therefore, patient preference information (PPI) could support the decision-making process, being indisputable for research value, quality, and integrity. However, there is a lack of clear guida...
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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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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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Amani Aldahiri, Bashair Alrashed and Walayat Hussain
Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things (IoT) data. These hybrid technologies work smartly to improve the decision-making process in different areas such as education, security, business, and the healt...
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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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Maicon Herverton Lino Ferreira da Silva Barros, Geovanne Oliveira Alves, Lubnnia Morais Florêncio Souza, Elisson da Silva Rocha, João Fausto Lorenzato de Oliveira, Theo Lynn, Vanderson Sampaio and Patricia Takako Endo
Tuberculosis (TB) is an airborne infectious disease caused by organisms in the Mycobacterium tuberculosis (Mtb) complex. In many low and middle-income countries, TB remains a major cause of morbidity and mortality. Once a patient has been diagnosed with ...
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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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