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Ana-Maria ?tefan, Nicu-Razvan Rusu, Elena Ovreiu and Mihai Ciuc
This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesforce?...
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Woonghee Lee, Mingeon Ju, Yura Sim, Young Kul Jung, Tae Hyung Kim and Younghoon Kim
Deep learning-based segmentation models have made a profound impact on medical procedures, with U-Net based computed tomography (CT) segmentation models exhibiting remarkable performance. Yet, even with these advances, these models are found to be vulner...
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Weiming Fan, Jiahui Yu and Zhaojie Ju
Endoscopy, a pervasive instrument for the diagnosis and treatment of hollow anatomical structures, conventionally necessitates the arduous manual scrutiny of seasoned medical experts. Nevertheless, the recent strides in deep learning technologies proffer...
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Bronwin Patrickson, Mike Musker, Dan Thorpe, Yasmin van Kasteren, Niranjan Bidargaddi and The Consumer and Carer Advisory Group (CCAG)
Advancements in digital monitoring solutions collaborate closely with electronic medical records. These fine-grained monitoring capacities can generate and process extensive electronic record data. Such capacities promise to enhance mental health care bu...
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Oluwakemi Christiana Abikoye, Esau Taiwo Oladipupo, Agbotiname Lucky Imoize, Joseph Bamidele Awotunde, Cheng-Chi Lee and Chun-Ta Li
The application of the Internet of Medical Things (IoMT) in medical systems has brought much ease in discharging healthcare services by medical practitioners. However, the security and privacy preservation of critical user data remain the reason the tech...
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Herti Miawarni, Eko Setijadi, Tri Arief Sardjono, Wijayanti, Mauridhi Hery Purnomo
Pág. 31 - 46
Telemonitoring of human physiological data helps detect emergency occurrences for subsequent medical diagnosis in daily living environments. One of the fatal emergencies in falling incidents. The goal of this paper is to detect significant incidents such...
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Alejandro Hortal
Although vaccines are considered an efficient public health tool by medical experts, in different countries, people?s confidence in them has been decreasing. COVID-19 has elevated medical scientists? and practitioners? social reputation, and it may have ...
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Saeed Iqbal, Adnan N. Qureshi, Amin Ullah, Jianqiang Li and Tariq Mahmood
Deep learning is an obvious method for the detection of disease, analyzing medical images and many researchers have looked into it. However, the performance of deep learning algorithms is frequently influenced by hyperparameter selection, the question of...
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Nuria Rodriguez-Diaz, Decky Aspandi, Federico M. Sukno and Xavier Binefa
Lie detection is considered a concern for everyone in their day-to-day life, given its impact on human interactions. Thus, people normally pay attention to both what their interlocutors are saying and to their visual appearance, including the face, to fi...
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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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