Electrocardiogram lead conversion from single-lead blindly-segmented signals by Sofia C. Beco, João Ribeiro Pinto, Jaime S. Cardoso

“…Abstract Background The standard configuration’s set of twelve electrocardiogram (ECG) leads is optimal for the medical diagnosis of diverse cardiac conditions. However, it requires ten electrodes on the patient’s limbs and chest, which is uncomfortable and cumbersome. …”
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A Novel Image Super-Resolution Reconstruction Framework Using the AI Technique of Dual Generator Generative Adversarial Network (GAN) by Loveleen Kumar, Manish Jain

“…Image superresolution helps in industrial image enhancement, classification, detection, pattern recognition, surveillance, satellite imaging, medical diagnosis, image analytics, etc. It is of utmost importance to keep the features of the low-resolution image intact while enlarging and enhancing it. …”
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R2NA: Received Signal Strength (RSS) Ratio-Based Node Authentication for Body Area Network by Yang Wu, Kai Wang, Yongmei Sun, Yuefeng Ji

“…The services in BAN usually have a high requirement on security, especially for the medical diagnosis. One of the fundamental directions to ensure security in BAN is how to provide node authentication. …”
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Real-Time Vision-Based Stiffness Mapping † by Angela Faragasso, João Bimbo, Agostino Stilli, Helge Arne Wurdemann, Kaspar Althoefer, Hajime Asama

“…This paper presents new findings concerning a hand-held stiffness probe for the medical diagnosis of abnormalities during palpation of soft-tissue. …”
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The Confusion Assessment Method Could Be More Accurate than the Memorial Delirium Assessment Scale for Diagnosing Delirium in Older Cancer Patients: An Exploratory Study by Paula Llisterri-Sánchez, María Benlloch, Pilar Pérez-Ros

“…The diagnostic accuracy of CAM and MDAS was analyzed against the gold standard medical diagnosis based on DSM-5 criteria by two medical oncologists. …”
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Survival of cancer patients under treatment with the palliative care team in a Brazilian hospital in São Paulo by Júlia Drummond de Camargo, Valéria Delponte, Adriana Zancheta Sousa Costa, Regina Claudia da Silva Souza

“…<span class="Apple-converted-space"> </span></p><p class="p1"><strong>Results:</strong> Among 581 participants in the sample, 42.5% had metastasis, and the most prevalent medical diagnosis was gastrointestinal cancer (29.1%). …”
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Characteristics of Clients Nursed in Professional Nursing Model, Psychiatric Unit, Dr. H. Marzuki Mahdi Hospital Bogor by Ice Yulia Wardani, Budi Anna Keliat, Mustikasari Mustikasari

“…Health education was mostly on efforts to eliminate paranoid problems and Activity Group Therapy was focused on efforts to socialize the clients. The medical diagnosis of most of the clients was paranoid schizophrenia. …”
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Enhancing the fairness of AI prediction models by Quasi-Pareto improvement among heterogeneous thyroid nodule population by Siqiong Yao, Fang Dai, Peng Sun, Weituo Zhang, Biyun Qian, Hui Lu

“…Abstract Artificial Intelligence (AI) models for medical diagnosis often face challenges of generalizability and fairness. …”
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Obscurant Segmentation in Long Wave Infrared Images Using GLCM Textures by Mohammed Abuhussein, Aaron Robinson

“…The wide range of benefits encompass applications ranging from medical diagnosis, where the shape of the grouped pixels increases diagnosis accuracy, to autonomous vehicles where the grouping of pixels defines roadways, traffic signs, other vehicles, etc. …”
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EXPERT FUZZY SYSTEMS FOR EVALUATION OF INTENSITY OF REACTIVE EDEMA OF SOFT TISSUES IN PATIENTS WITH DIABETES by Liudmyla Shkilniak, Waldemar Wójcik, Sergii Pavlov, Oleg Vlasenko, Tetiana Kanishyna, Irina Khomyuk, Oleh Bezverkhyi, Sofia Dembitska, Orken Mamyrbayev, Aigul Iskakova

“…An expert system was implemented for solving the problems of medical diagnosis based on fuzzy logic when assessing the intensity of reactive swelling of soft tissues, which develops in the postoperative period in patients of all study groups against the background of diabetes. …”
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A Brief Analysis of Multimodal Medical Image Fusion Techniques by Mohammed Ali Saleh, AbdElmgeid A. Ali, Kareem Ahmed, Abeer M. Sarhan

“…Recently, image fusion has become one of the most promising fields in image processing since it plays an essential role in different applications, such as medical diagnosis and clarification of medical images. …”
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Multigranulation Modified Rough Bipolar Soft Sets and Their Applications in Decision-Making by Rizwan Gul, Muhammad Shabir, Muhammad Aslam, Shafaq Naz

“…To demonstrate the applicability and potentiality of the developed model, we give a practical example of a medical diagnosis. Finally, we conduct a comparative study of the proposed MCGDM approach with some existing techniques to endorse the advantages of the proposed model.…”
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A Regenerative Immunoaffinity Layer Based on the Outer Membrane of Z-Domains Autodisplaying <i>E. coli</i> for Immunoassays and Immunosensors by Daseul Jeon, Jae-Chul Pyun, Joachim Jose, Min Park

“…Therefore, the newly developed regenerative immunoaffinity layer with antibody orientation control may improve biosensing sensitivity and reduce the cost of medical diagnosis.…”
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An Exploration of the Metal Dependent Selectivity of a Metalloporphyrins Coated Quartz Microbalances Array by Alexandro Catini, Raj Kumar, Rosamaria Capuano, Eugenio Martinelli, Roberto Paolesse, Corrado di Natale

“…Several studies in the last two decades have demonstrated that metalloporphyrins coated quartz microbalances can be fruitfully used in many diverse applications, spanning from medical diagnosis to environmental control. This large versatility is due to the combination of the flexibility of metalloporphyrins molecular design with the independence of the quartz microbalance signal from the interaction mechanisms. …”
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A Study on Reversible Data Hiding Technique Based on Three-Dimensional Prediction-Error Histogram Modification and a Multilayer Perceptron by Chih-Chieh Hung, Chuang-Chieh Lin, Hsien-Chu Wu, Chia-Wei Lin

“…Among them, <i>reversible data hiding</i> (RDH) is a technology for the applications that demand the secret data extraction as well as the original carrier recovery without distortion, such as remote medical diagnosis or military secret transmission. In this work, we hypothesize that the RDH performance can be enhanced by a more accurate pixel value predictor. …”
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Analysis of Accuracy Metric of Machine Learning Algorithms in Predicting Heart Disease by Sajad Yousefi, Maryam Poornajaf

“…Earlier identification of heart disease may reduce the death rate. The cost of medical diagnosis makes it perverse to cure it for the large amount of people early. …”
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Continuous-Wave THz Imaging for Biomedical Samples by Yaya Zhang, Chuting Wang, Bingxin Huai, Shiyu Wang, Yating Zhang, Dayong Wang, Lu Rong, Yongchang Zheng

“…In the past few decades, the applications of terahertz (THz) spectroscopy and imaging technology have seen significant developments in the fields of biology, medical diagnosis, food safety, and nondestructive testing. …”
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Cross-sectional evaluation of socioeconomic and clinical factors and the impact of fibromyalgia on the quality of life of patients during the COVID-19 pandemic by Helena Trevisan Schroeder, Joana Caline Alves Cavalheiro, Edna Thaís Jeremias Martins, Patricia Martins Bock

“…METHODS: A quantitative study was carried out, with the application of a sociodemographic and clinical questionnaire, and the FIQ in 163 Brazilian individuals with a medical diagnosis of fibromyalgia. Data were collected using SurveyMonkey software. …”
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On AI Approaches for Promoting Maternal and Neonatal Health in Low Resource Settings: A Review by Misaal Khan, Misaal Khan, Mahapara Khurshid, Mayank Vatsa, Richa Singh, Mona Duggal, Kuldeep Singh

“…A significant challenge for hospitals and medical practitioners in low- and middle-income nations is the lack of sufficient health care facilities for timely medical diagnosis of chronic and deadly diseases. Particularly, maternal and neonatal morbidity due to various non-communicable and nutrition related diseases is a serious public health issue that leads to several deaths every year. …”
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Artificial intelligence framework for heart disease classification from audio signals by Sidra Abbas, Stephen Ojo, Abdullah Al Hejaili, Gabriel Avelino Sampedro, Ahmad Almadhor, Monji Mohamed Zaidi, Natalia Kryvinska

“…These findings present promising opportunities for enhancing medical diagnosis and patient care.…”
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