Phimosis – physiology vs pathology? by Michał Raban, Artur Żak, Jakub Litak, Rafał Smoliński, Agnieszka Budny, Monika Turska

“…The condition is diagnosed on the basis of a physical examination performed by a physician.Aim of the study: The aim of the study is to present the disease unit with a special focus on proper medical diagnosis and treatment.Summary: It should be noticed that in most cases phimosis is a physiological state. …”
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CT image denoising based on locally adaptive thresholding by Miroslav Petrov

“…Subsequent image processing is needed in order to achieve a good-quality medical diagnosis. It requires a sufficiently great ratio between the detailed contrasts and the noise component amplitude. …”
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Pathogenetic correlations androgen deficiency and uronephrological kidneys diseases at men (the literary review) by I. A. Tyuzikov

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Hesperidin as a natural Radio-Protector by Zhila Ghorbani, Gholamhassan Haddadi, Reza Fardid

“…Despite widespread usage of ionizing radiation in medical diagnosis and treatment methods, development of radio-protective agents is important in modulating normal tissue damages. …”
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Pathogenetic correlations androgen deficiency and uronephrological kidneys diseases at men (the literary review) by I. A. Tyuzikov

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Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care by Tin Lai

“…This review summarizes recent ViT advancements and interpretative approaches to understanding the decision-making process of ViT, enabling transparency in medical diagnosis applications.…”
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Elementary Time Frequency Analysis of EEG Signal Processing by Parag Puranik, Dr. R. V. Kshirsagar, Sagar Motdhare

“…EEG analysis is used as a tool for medical diagnosis of various diseases related to brain like epilepsy, dementia, brain disorders like stress etc. …”
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Laser-scribed graphene for sensors: preparation, modification, applications, and future prospects by Xing Liu, Fangyi Zhang, Qiwen Zhang, Zhengfen Wan, Xi Chen

“…Sensors are widely used to acquire biological and environmental information for medical diagnosis, and health and environmental monitoring. …”
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Special Issue on Ensemble Learning and Applications by Panagiotis Pintelas, Ioannis E. Livieris

“…In the literature, ensemble learning algorithms constitute a dominant and state-of-the-art approach for obtaining maximum performance, thus they have been applied in a variety of real-world problems ranging from face and emotion recognition through text classification and medical diagnosis to financial forecasting.…”
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IDENTIFICATION OF ERYTHEMATO-SQUAMOUS SKIN DISEASES USING EXTREME LEARNING MACHINE AND ARTIFICIAL NEURAL NETWORK by Sunday Olusanya Olatunji, Hossain Arif

“…The proposed classifier demonstrated to be a viable tool in this germane field of medical diagnosis as indicated by its high accuracy and consistency of result.…”
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Fsmpy: A Fuzzy Set Measures Python Library by George K. Sidiropoulos, Kyriakos D. Apostolidis, Nikolaos Damianos, George A. Papakostas

“…Lastly, some examples of its application to widely used pattern recognition, medical diagnosis and image segmentation are presented.…”
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The Use of Censors for Nonmonotonic Reasoning and Analogy in Medical Desicion-Making by Mansour, Hormoz

“…When a disease is present, the first steps of the medical diagnosis should be to research and to determine whether another disease interacts with ("Censors") or changed the significant symptoms, syndromes, or results of the laboratory tests of the first disease. …”
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Automatic bio sound detection and classification by Chua, Bor Jenq.

“…The project investigates the use of the Support Vector Machine (SVM) and the Gaussian Mixture Model (GMM) classifiers to classify sound samples accurately, with the aim of producing an accurate ambulatory device in medical diagnosis. Features of sound data are extracted using the Mel-frequency cepstrum coefficients to be used in machine learning. …”
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An investigation into the fundamentals of trapping and sensing in microstructured photonic crystal fibers by Shinoj Vengalathunadakal Kuttinarayanan

“…Ultra sensitive optical manipulation and detection techniques employing specialty fiber optics and tailor made coherent lasers have huge potential in research and development of new generation medical diagnosis systems. Photonic crystal fiber (PCF) is one such specialty fiber that has emerged prominent in recent years and has found to be an efficient medium for sensing or other micro manipulation such as optical trapping or tweezing and promises a noninvasive, non-contact methodology with minimum damage to the living cells. …”
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Hybrid photonic integrated circuits for neuromorphic computing [Invited] by Xu, R, Taheriniya, S, Ovvyan, AP, Bankwitz, JR, McRae, L, Jung, E, Brückerhoff-Plückelmann, F, Bente, I, Lenzini, F, Bhaskaran, H, Pernice, WHP

“…Artificial intelligence-related applications, such as autonomous driving, medical diagnosis, and speech recognition, have experienced remarkable progress in recent years; however, such systems require vast amounts of data for accurate inference and reliable performance, presenting challenges in both speed and power consumption. …”

Interpretable explanations of black boxes by meaningful perturbation by Fong, RC, Vedaldi, A

“…As machine learning algorithms are increasingly applied to high impact yet high risk tasks, such as medical diagnosis or autonomous driving, it is critical that researchers can explain how such algorithms arrived at their predictions. …”

Photonics for artificial intelligence and neuromorphic computing by Shastri, BJ, Tait, AN, de Lima, TF, Pernice, WHP, Bhaskaran, H, Wright, CD, Prucnal, PR

“…Algorithms running on such hardware have the potential to address the growing demand for machine learning and artificial intelligence in areas such as medical diagnosis, telecommunications, and high-performance and scientific computing. …”

Roughness and similarity measure of rough neutrosophic multisets using vectorial model of information by Suriana Alias, Daud Mohamad, Adibah Shuib

“…Besides that, the rough neutrosophic multisets theory also applicable set-in decision making for medical diagnosis. The comparison result showed that the roughness approximation of information is essential to get the best result in a close similarity measure.…”
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Hybrid PSO-Black stork foraging for functional neural fuzzy network learning enhancement by Mohd. Hashim, Siti Zaiton, A. Hamed, Zakaria

“…Fuzzy Neural Networks consider one of the most important computational tools which are applied in many areas such as classification, pattern recognition and medical diagnosis. The learning process is very crucial for fuzzy neural network to be powerful in solving problems. …”

Equation for estimation of radio link budget for NMHA in human fat tissue phantom by Kamaruddin, Nur Amalina, Kamardin, Kamilia, Yamada, Yoshihide

“…Recently, Wireless Capsule Endoscopy (WCE) is used widely in human body medical diagnosis. Normal Mode Helical Antenna (NMHA) is suitable as the antenna for this application because of its small size and high efficiency. …”