IoT-Enhanced Healthcare: A Patient Care Evaluation Using the IoT Healthcare Test by Ivanovich Vatin Nikolai, Pant Ruby, Mohan Chandra, Kumar Anil, Rajasekhar N.

“…The evaluation of the outcomes of the IoT Healthcare Test confirms the precision and dependability of IoT devices in medical diagnosis, highlighting the significance of IoT-Enhanced Healthcare in transforming patient care. …”
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Features of damage to the ribs by a blade with a defective tip by Vladislav D. Gurov, Vladimir A. Klevno

“…To improve the forensic medical diagnosis of rib injuries caused by blades with point defects based on the study of a complex of morphological features, experimental studies on cadaveric materials are necessary.…”
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How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications by Luís Pinto-Coelho

“…This literature review explores the latest innovations and applications of AI in the field, highlighting its profound impact on medical diagnosis and patient care. The innovation segment explores cutting-edge developments in AI, such as deep learning algorithms, convolutional neural networks, and generative adversarial networks, which have significantly improved the accuracy and efficiency of medical image analysis. …”
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Evaluation of the Status of Infectious Diseases in Military Personnel Who Visit Clinics Due to Tick Bite by Hayri Canbaz

“…Introduction: This study aims to evaluate and present the findings obtained from medical diagnosis and follow-up of military personnel admitted to the relevant units due to tick bites. …”
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The Synergistic Properties and Gas Sensing Performance of Functionalized Graphene-Based Sensors by Zandile Dennis Leve, Emmanuel Iheanyichukwu Iwuoha, Natasha Ross

“…The detection of toxic gases has long been a priority in industrial manufacturing, environmental monitoring, medical diagnosis, and national defense. The importance of gas sensing is not only of high benefit to such industries but also to the daily lives of people. …”
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From Selenium- to Tellurium-Based Glass Optical Fibers for Infrared Spectroscopies by Jacques Lucas, Bruno Bureau, Johann Troles, Jean-Louis Doualan, Virginie Nazabal, Catherine Boussard-Plédel, Radwan Chahal, Shuo Cui

“…FEWS has provided very nice and promising results, for example for medical diagnosis. Then, some sophisticated fibers, also based on selenide glasses, were developed: rare-earth doped fibers and microstructured fibers. …”
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Long-Range Non-Line-of-Sight Imaging Based on Projected Images from Multiple Light Fields by Xiaojie Chen, Mengyue Li, Tiantian Chen, Shuyue Zhan

“…Non-line-of-sight (NLOS) imaging technology has shown potential in several applications, such as intelligent driving, warfare and reconnaissance, medical diagnosis, and disaster rescue. However, most NLOS imaging systems are expensive and have a limited detection range, which hinders their utility in real-world scenarios. …”
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Suggestion for Objective Evaluation of Comparative Pulse Diagnosis by Jun-Sang Yu

“…In this regard, I would like to propose an objective evaluation method.Methods: Although the importance of pulse examination and the method of pulse examination are known in the literature, it is difficult for undergraduate students or inexperienced Korean medicine doctors to access it, so in this paper a method of marking the size of the pulse power in the blank space for objective evaluation was devised and presented.Results: The size of the pulse power should be indicated using the 1-cell, 3-cell, or 5-cell method according to the left and right wrists and the cun, guan and chi on both sides.Conclusion: The method of pulse diagnosis is an important diagnostic method as a verification process for making a Korean medical diagnosis. The remaining Korean medicine diagnostic methods, including pulse diagnosis, also need to undergo objectification. …”
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A Novel Clustering-Based Three Level Under-Sampling Algorithm for Class Imbalance Problem by Vibha Pratap, Amit Prakash Singh

“…The experimental results of this research can be used in the classification of various domains, such as medical diagnosis, banking fraud detection, anomaly detection, etc, which are generally imbalanced.…”
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Sensitivity Improvement of Surface Plasmon Resonance Biosensors with GeS-Metal Layers by Yue Jia, Yunlong Liao, Houzhi Cai

“…These biosensors show obvious improvement of sensitivity and have strong SPR excitation to analytes; we believe that these kind biosensors could find potential applications in biological detection, chemical examination, and medical diagnosis.…”
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Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods by  Zhenyi Ye, Yuan Liu, Qiliang Li

“…Advanced machine learning methods are crucial for the E-Nose to gain high performance and strengthen its capability in many applications, including robotics, food engineering, environment monitoring, and medical diagnosis. Recently, many machine learning techniques have been studied, developed, and integrated into feature extraction, modeling, and gas sensor drift compensation. …”
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Diabetes Classification Using Machine Learning Techniques by Methaporn Phongying, Sasiprapa Hiriote

“…Machine learning techniques play an increasingly prominent role in medical diagnosis. With the use of these techniques, patients’ data can be analyzed to find patterns or facts that are difficult to explain, making diagnoses more reliable and convenient. …”
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Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model by Paweł Oleksy, Łukasz Januszkiewicz

“…Wireless capsule endoscopes take and send photos of the human digestive tract, which are used for medical diagnosis. The capsule’s location enables exact identification of the regions with lesions. …”
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Speckle Reduction in Digital Holography by Fast Logistic Adaptive Non-Local Means Filtering by Yiping Fu, Junmin Leng, Zhenqi Xu

“…The proposed method is efficient and feasible, and can be applied to such fields as three-dimensional display, holographic measurement, and medical diagnosis.…”
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Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine by Rohan Kumar Yadav, Dragoş Constantin Nicolae

“…Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relative importance of input units. …”
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U-Net based frames partitioning and volumetric analysis for kidney detection in tomographic images by Tomasz Les

“…The system works fully automatically and can help to increase the accuracy of the performed medical diagnosis and reduce the time of preparing medical descriptions.…”
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Estimation with Uncertainty via Conditional Generative Adversarial Networks by Minhyeok Lee, Junhee Seok

“…Such a deterministic nature in ANNs causes the limitations of using ANNs for medical diagnosis, law problems, and portfolio management in which not only discovering the prediction but also the uncertainty of the prediction is essentially required. …”
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A parsimonious model of blood glucose homeostasis. by Eric Ng, Jaycee M Kaufman, Lennaert van Veen, Yan Fossat

“…Furthermore, condensing model results into simple indicators is challenging, an important difficulty in scenarios where medical diagnosis is required. In this paper, we develop a minimal model of glucose homeostasis with the potential to yield diagnostics for pre-diabetes. …”
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Applications of smartphone-based colorimetric biosensors by Shiyu Qian, Yu Cui, Zheng Cai, Lingling Li

“…In this minireview, we briefly summarize the principles, characteristics and advantages of smartphone-based colorimetric biosensors, and highlight their recent advances in applications from biomedical analysis to medical diagnosis, environment monitoring and food safety.…”
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Bio-Signals in Medical Applications and Challenges Using Artificial Intelligence by Mudrakola Swapna, Uma Maheswari Viswanadhula, Rajanikanth Aluvalu, Vijayakumar Vardharajan, Ketan Kotecha

“…The bio-signals that retrospectively occur are discussed, and the new challenges of medical diagnosis using bio-signals are identified.…”
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