Optimization technique for increasing resolution in computed tomography imaging by I.V. Grossu, O. Savencu, M. Verga, N. Verga

“…However, the main advantage comes from satisfying mass conservation, which is of high importance in medical diagnosis and treatment. • The Hounsfield Units scale is defined as a linear transformation of the X-Rays attenuation coefficients. …”
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Medical Image Classifications for 6G IoT-Enabled Smart Health Systems by Mohamed Abd Elaziz, Abdelghani Dahou, Alhassan Mabrouk, Rehab Ali Ibrahim, Ahmad O. Aseeri

“…As day-to-day-generated data become massive in the 6G-enabled Internet of medical things (IoMT), the process of medical diagnosis becomes critical in the healthcare system. …”
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Automated identification of human gastrointestinal tract abnormalities based on deep convolutional neural network with endoscopic images by Imran Iqbal, Khuram Walayat, Mohib Ullah Kakar, Jinwen Ma

“…Nonetheless, in medical diagnosis, the human gastrointestinal tract findings are manually determined, and greatly depend on the prowess of the gastrointestinal endoscopist. …”
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A super-resolution network using channel attention retention for pathology images by Feiyang Jia, Li Tan, Ge Wang, Caiyan Jia, Zhineng Chen

“…Moreover, image classification experiments demonstrate that the suggested network improves the performance of downstream tasks in medical diagnosis scenarios. The proposed network and dataset provide effective priors for the SR task of pathology images, which significantly improves the diagnosis of relevant medical staff. …”
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Role of N6-methyladenosine modification in central nervous system diseases and related therapeutic agents by Junya Lv, Lijuan Xing, Xin Zhong, Kai Li, Mingyan Liu, Ke Du

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Intuitionistic Fuzzy Rough Aczel-Alsina Average Aggregation Operators and Their Applications in Medical Diagnoses by Jabbar Ahmmad, Tahir Mahmood, Nayyar Mehmood, Khamika Urawong, Ronnason Chinram

“…The use of aggregation operators in medical diagnosis and MADM is an efficient method that can help in healthcare and decision-making applications. …”
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Effect of exercise referral schemes in primary care on physical activity and improving health outcomes: systematic review and meta-analysis. by Pavey, T, Taylor, A, Fox, K, Hillsdon, M, Anokye, N, Campbell, J, Foster, C, Green, C, Moxham, T, Mutrie, N, Searle, J, Trueman, P, Taylor, R

“…Conclusions Considerable uncertainty remains as to the effectiveness of exercise referral schemes for increasing physical activity, fitness, or health indicators, or whether they are an efficient use of resources for sedentary people with or without a medical diagnosis.…”

New German Intersex Law: Third Gender but not as we want it by Grietje Baars

“…The main criticisms are that the third option does not fully recognize gender diversity as it will only be available to those with a medical diagnosis of an intersex condition, and that the government failed to genuinely consider the alternative option presented by the Constitutional Court – that of scrapping sex/gender registration altogether.…”
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Neutrosophic Fuzzy X-Sub algebra of Near-Subtraction Semigroups by J.Siva Ranjini, V. Mahalakshmi

“…Neutrosophy have achieved in various fields such as medical diagnosis, decision making problems, image processing etc.,The motivation of the present article is to extend the concept of Neutrosophic fuzzy X-subalgebra in near-subtraction semigroups. …”
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A Novel Similarity Measure for Interval-Valued Intuitionistic Fuzzy Sets and Its Applications by Minxia Luo, Jingjing Liang

“…Furthermore, the proposed similarity measure is applied to deal with pattern recognition and medical diagnosis problems.…”
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Sensors for Enhanced Detection of Acetone as a Potential Tool for Noninvasive Diabetes Monitoring by Artur Rydosz

“…Measurement of blood-borne volatile organic compounds (VOCs) occurring in human exhaled breath as a result of metabolic changes or pathological disorders is a promising tool for noninvasive medical diagnosis, such as exhaled acetone measurements in terms of diabetes monitoring. …”
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Electrochemical Sensors for Clinic Analysis by Guang Li, Jianming Zhang, Hui Xu, You Wang

“…Demanded by modern medical diagnosis, advances in microfabrication technology have led to the development of fast, sensitive and selective electrochemical sensors for clinic analysis. …”
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Using True Crime Stories to Demonstrate Medical Library Research by Rachel Brill

“…Each of the ten entries in the “Disorder in the Court” series tells a true story of a crime or court case that involved a medical diagnosis. The entry then delves into the etiology and pathophysiology of the particular syndrome, using information from research articles and point-of-care databases available through the library. …”
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Diagnostic Parsimony by Bengt Autzen

“…In the context of medical diagnosis, this is taken to mean that when a patient has multiple symptoms, a single diagnosis should be sought that accounts for all the clinical features, rather than attributing a different diagnosis to each. …”
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Editorial: Nanotechnological Advances in Biosensors by Jay Nadeau

“…Speed is of the essence in medical diagnosis as it permits for rapid, accurate treatment and does not allow patients to be lost to follow-up. …”
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The clinical method as a diagnosis method. A critique to a standing conception. by Luis Alberto Corona Martínez

“…In this article, through a systemic point of view and from the medical assistance perspective, it is analyzed how, historically conditioned, the clinical method has been considered up to this moment as a method for medical diagnosis, which limits the fulfillment of the general objective of the medical attention process. …”
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Patients’ preferences for delivering bad news in palliative care in Ethiopia: a qualitative study by Ephrem Abathun Ayalew, Ditaba David Mphuthi, Kholofelo Lorraine Matlhaba

“…Abstract Background One of the major challenges for healthcare professionals relates to awareness of patients’ preferences relative to how and when to break bad news and how much information should be disclosed in the eventuality of a serious medical diagnosis or prognosis. On occasions, a serious medical diagnosis or prognosis is withheld from the patient. …”
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Multi-Task Learning for Medical Image Inpainting Based on Organ Boundary Awareness by Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang, Guee-Sang Lee

“…Distorted medical images can significantly hamper medical diagnosis, notably in the analysis of Computer Tomography (CT) images and organ segmentation specifics. …”
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Neural network model of heteroassociative memory for the classification task by Tatiana Martyniuk, Bohdan Krukivskyi, Leonid Kupershtein, Vitaliy Lukichov

“…The tasks: analyze the capabilities of associative memory models using neural networks as an example; analyze the features of classification on the principles of discriminant analysis; develop the structure of a neural network classifier as a model of neural network heteroassociative memory; perform simulation modeling of the classification process on the example of medical diagnosis. The methods used are a mathematical model of the functioning of a neural network as a classifier, and simulation in C#. …”
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Self‐powered high‐resolution smart insole system for plantar pressure mapping by Qiuqun Zheng, Xingyi Dai, Yinghui Wu, Qihua Liang, Yongpeng Wu, Jingkun Yang, Biqin Dong, Guojun Gao, Qi Qin, Long‐Biao Huang

“…This work paves the way for self‐powered wearable devices for gait monitoring, which might enable a new modality of medical diagnosis.…”
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