Artificial neural networks in medical diagnosis

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Artificial neural networks for diagnosis and survival prediction in colon cancer

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Segmentation of multiple sclerosis lesions in MR images: a review

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Automatic epileptic seizure detection based on the discrete wavelet transform approach using an artificial neural network classifier on the scalp electroencephalogram signal

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Urinary System Diseases Diagnosis Using Machine Learning Techniques

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Backpropagation artificial neural network for determination of glucose concentration from near-infrared spectra

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Nucleus Region Segmentation Towards Cervical Cancer Screening Using AGMC-TU Pap-Smear Dataset

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Editorial. Artificial neural networks for neurosurgical diagnosis, prognosis, and management

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Artificial Neural Networks ( ANNs )

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Fuzzy Expert System for Rectal Cancer

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Toward overcoming the challenges facing biomedical analyses

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Reliability evaluation method for pipes buried in fault areas based on the probabilistic fault displacement hazard analysis

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Improvement in the Prediction of Coronary Heart Disease Risk by Using Artificial Neural Networks

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Automated Brain Tumor Detection in Medical Brain Images and Clinical Parameters using Data Mining Techniques: A Review

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Data Mining for Bioinformatics: Design with Oversampling and Performance Evaluation

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Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk

Kupusinac, A., Stokić, E., & Kovacevic, I. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0498-1 · Cited by 10

Genomics and Artificial Intelligence Working Together in Drug Discovery and Repositioning: The Advent of Adaptive Pharmacogenomics in Glioblastoma and Chronic Arterial Inflammation Therapies

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Incremental Bounded Model Checking of Artificial Neural Networks in CUDA

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Classification of unhealthy and healthy neonates in neonatal intensive care units using medical thermography processing and artificial neural network

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Mitigation of electrical hazards on the metallic pipelines due to the HVOHTLs based on different intelligent controllers

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Modeling and prediction of retardance in citric acid coated ferrofluid using artificial neural network

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Fusion of artificial neural networks for learning capability enhancement: Application to medical image classification

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Machine learning in NQR TNT express detection system

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How are hospitals using artificial intelligence in strategic decision- making?—a scoping review

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DILI, HILI, RUCAM Algorithm, and AI, the Artificial Intelligence: Provocative issues, Progress, and Proposals

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Impact of white noise in artificial neural networks trained for classification: Performance and noise mitigation strategies

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Artificial intelligence in clinical nutrition. A narrative review

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Sampling, Detection, Identification, and Analysis of Bacterial Volatile Organic Compounds (VOCs)

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The Role of Methods and Applications of Artificial Intelligence Tools in the Field of Medicine to Diagnose and Discover Various Diseases

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An Efficient and Optimal Deep Learning Architecture using Custom U-Net and Mask R-CNN Models for Kidney Tumor Semantic Segmentation

Parvathi, S. S. L., & Jonnadula, H. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.0130639 · Cited by 9

Data-driven machine learning: A new approach to process and utilize biomedical data

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A study on the applicability of AI in Pharmaceutical Industry

Sharma, A. K. (2022) · 2022 1st International Conference on Computational Science and Technology (ICCST) · doi:10.1109/iccst55948.2022.10040339 · Cited by 9

A modified weighted chimp optimization algorithm for training feed-forward neural network

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Input-Relational Verification of Deep Neural Networks

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Pesticide Biosensors for Multiple Target Detection: Improvement Potential with Advanced Data-processing Methods

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Exploring medical student’s outlook on use of artificial intelligence in medical education: a multicentric cross-sectional study in Jharkhand, India

Ahmad, N., Chakraborty, H., & Sinha, R. (2024) · Cogent Education · doi:10.1080/2331186x.2024.2396704 · Cited by 9

Artificial Neural Network–Genetic Algorithm to Optimize Yin Rice Inoculation Fermentation Conditions for Improving Physico-chemical Characteristics

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Overview of one-Class Classification

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Dynamical diversity of mitochondrial BK channels located in different cell types

Wawrzkiewicz–Jałowiecka, A., Trybek, P., Machura, Ł., & Bednarczyk, P. (2020) · Biosystems · doi:10.1016/j.biosystems.2020.104310 · Cited by 9

Prediction of biological activity of compounds containing a 1,3,5-triazinyl sulfonamide scaffold by artificial neural networks using simple molecular descriptors

Havránková, E., Peña‐Méndez, E. M., Csöllei, J., & Havel, J. (2020) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2020.104565 · Cited by 9

Diagnosis of Malignancy in Thyroid Tumors by Multi-Layer Perceptron Neural Networks With Different Batch Learning Algorithms

Pourahmad, S., Azad, M., & Paydar, S. (2015) · Global Journal of Health Science · doi:10.5539/gjhs.v7n6p46 · Cited by 9

A Comparison of Grammatical Bee Colony and Neural Networks in Medical Data Mining

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Assessment of chronic kidney disease using skin texture as a key parameter: for South Indian population

Udhayarasu, M., Ramakrishnan, K., & Periasamy, S. (2017) · Healthcare Technology Letters · doi:10.1049/htl.2016.0098 · Cited by 9

Hybrid artificial neural network and decision tree algorithm for disease recognition and prediction in human blood cells

Tharaha, S., & Rashika, K. (2017) · International Conference on Innovations in Information, Embedded and Communication Systems · doi:10.1109/iciiecs.2017.8276107 · Cited by 9

The Problem with the Problem of Human Irrationality

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Flower Pollination Neural Network For Heart Disease Classification

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Artificial Neural Networks for Estimation of Dementias Types

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Artificial intelligence, radiology, precision medicine, and personalized medicine

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Predictive model of in-hospital mortality in liver cirrhosis patients with hyponatremia: an artificial neural network approach

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Data-based optimisation of intra-hospital patient transport capacity planning

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Impact of white Gaussian internal noise on echo state neural networks

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NDAWL-PINN: a new non-dimensionalization and multi-task learning approach for efficient training of physics-informed neural networks to solve the shallow water equations

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Pattern recognition and data mining software based on artificial neural networks applied to proton transfer in aqueous environments

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A global view on how local muscular fatigue affects human performance

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An accurate diagnosis of coronary heart disease by Catboost, with easily accessible data

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Augmentation of Body-in-White Dimensional Quality Systems through Artificial Intelligence

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A Hybrid Weight Quantization Strategy for Memristive Neural Networks

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A survey on mining techniques for early lung cancer diagnoses

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Diagnosing complex regional pain syndrome using an electronic nose, a pilot study

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Effects of environmental and turbine parameters on energy gains from wind farm system: Artificial neural network simulations

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Artificial Neural Network and Multiple Linear Regression for Prediction and Classification of Sustainability of Sodium and Potassium Coronates

Bondarev, N. V. (2019) · Russian Journal of General Chemistry · doi:10.1134/s1070363219070144 · Cited by 8

ARTIFICIAL NEURAL NETWORKS IN MEDICAL DIAGNOSIS

Матвеева, Н. А. (2021) · System technologies · doi:10.34185/1562-9945-2-133-2021-05 · Cited by 8

Automated colour segmentation of Tuberculosis bacteria thru region growing: A novel approach

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Selector: PSO as Model Selector for Dual-Stage Diabetes Network

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Reliable and practical fall prediction using artificial neural network

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A Personalised Blood Pressure Prediction System using Gaussian Mixture Regression and Online Recurrent Extreme Learning Machine

Abrar, S., Loo, C. K., Kubota, N., & Tahir, G. A. (2020) · International Symposium on Community-centric Systems (CcS) · doi:10.1109/ccs49175.2020.9231328 · Cited by 8

Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results

Richter, M., Trybek, P., Bednarczyk, P., & Wawrzkiewicz–Jałowiecka, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020840 · Cited by 8

Implementation of different intelligent controllers for mitigating the AC corrosion of metallic pipelines considering all HVOHTLs operation conditions

Al-Gabalawy, M. A., Mostafa, M. A., & Hamza, A. S. (2021) · ISA Transactions · doi:10.1016/j.isatra.2021.02.003 · Cited by 8

A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool

Li, A., Quan, S. F., Silva, G. E., Perfect, M. M., & Roveda, J. M. (2018) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.7182 · Cited by 8

A Bregman Learning Framework for Sparse Neural NetworksPreprint

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Ultra-Efficient Si3N4 MZIs With BaTiO3 as Weight Elements for Neuromorphic Photonics

Chrysostomidis, T., Chatzitheocharis, D., Eltes, F., Convertino, C., Buriakova, T., Zervas, M., Pleros, N., & Vyrsokinos, K. (2025) · Journal of Lightwave Technology · doi:10.1109/jlt.2025.3537286 · Cited by 7

Artificial Neural Network, Attention Mechanism and Fuzzy Logic-Based Approaches for Medical Diagnostic Support: A Systematic Review

Zacarias-Morales, N., Pancardo, P., Hernández-Nolasco, J. A., & García-Constantino, M. (2025) · AI · doi:10.3390/ai6110281 · Cited by 7

Clinical Decision Support Systems and Predictive Analytics

Lourdusamy, R., & Mattam, X. J. (2020) · Learning and analytics in intelligent systems · doi:10.1007/978-3-030-40850-3_14 · Cited by 7

Real-Time Prediction of Plastic Viscosity and Apparent Viscosity for Oil-Based Drilling Fluids Using a Committee Machine with Intelligent Systems

Youcefi, M. R., Hadjadj, A., Bentriou, A., & Boukredera, F. S. (2021) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-021-05748-8 · Cited by 7

Artificial neural network based character recognition using SciLab

Darshni, P., Dhaliwal, B. S., Kumar, R., Balogun, V. A., Singh, S., & Pruncu, C. I. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13082-w · Cited by 7

Computer Vision for Pipeline Monitoring Using UAVs and Deep Learning

Lan, R., Awolusi, I., & Cai, J. (2023) · ASCE Pipelines Conference · doi:10.1061/9780784485033.020 · Cited by 7

Convergence of various computer-aided systems for breast tumor diagnosis: a comparative insight

Singh, S. K., & Patnaik, K. S. (2024) · Multimedia Tools and Applications · doi:10.1007/s11042-024-19620-y · Cited by 8

Design and Development of an Efficient Explainable AI Framework for Heart Disease Prediction

Tenepalli, D., & Navamani, T. M. (2024) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2024.01506149 · Cited by 7

Doppler ultrasonography combined with transient elastography improves the non-invasive assessment of fibrosis in patients with chronic liver diseases

Alempijevic, T. M., Zec, S., Nikolić, V., Veljković, A. N., Stojanovic, Z., Matovic, V., & Milosavljević, T. (2016) · Medical Ultrasonography · doi:10.11152/mu-921 · Cited by 7

Neuro-Fuzzy Approach for Diagnosing and Control of Tuberculosis

Gumpy, J. M., Goni, I., & Isa, M. (2018) · International Journal of Computational Science Information Technology and Control Engineering · doi:10.5121/ijcsitce.2018.5101 · Cited by 7

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals

Rivero‐Juárez, A., Guijo-Rubio, D., Téllez, F., Palacios, R., Merino, D., Macı́as, J., Fernández, J. C. F., Gutiérrez, P. A., Rivero, A., & Hervás‐Martínez, C. (2020) · PLoS ONE · doi:10.1371/journal.pone.0227188 · Cited by 7

Neural network modeling and simulation of the synthesis of CuInS2/ZnS quantum dots

Fu, M., Mrziglod, T., Luan, W., Tu, S., & Mleczko, L. (2020) · Engineering Reports · doi:10.1002/eng2.12122 · Cited by 7

Application of machine learning-based models to boost the predictive power of the SPAN index

Chung, C., Bamodu, O. A., Hong, C., Chan, L., & Chiu, H. (2021) · International Journal of Neuroscience · doi:10.1080/00207454.2021.1881092 · Cited by 7

Learning from imbalanced fetal outcomes of systemic lupus erythematosus in artificial neural networks

Ma, J., Feng, Z., Wu, J., Zhang, Y., & Di, W. J. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01486-x · Cited by 8

A methodical survey of mathematical model-based control techniques based on open and closed loop control approach for diabetes management

Sharma, A., Singh, H. P., & Nilam (2022) · International Journal of Biomathematics · doi:10.1142/s1793524522500516 · Cited by 7

Machine Learning Applications in Healthcare

Vanshika, & Gupta, N. (2022) · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · doi:10.1109/icrito56286.2022.9964865 · Cited by 7

Artificial Neural Networks: Prediction of mortality/survival in gastroenterology

Sapra, R. L., Mehrotra, S., & Nundy, S. (2015) · Current Medicine Research and Practice · doi:10.1016/j.cmrp.2015.05.007 · Cited by 7

Fuzzy, neural network and expert systems methodologies and applications-a review

Amin, R. U., Aijun, L., & Ali, M. M. (2015) · Journal of Multimedia · doi:10.5555/2871240.2871253 · Cited by 7

Ovarian Cancer Classification Using Hybrid Synthetic Minority Over-Sampling Technique and Neural Network

Hambali, M. A., & Gbolagade, M. D. (2016) · Journal of advances in computer research · Cited by 7

Diabetes Detection Using Principal Component Analysis and Neural Networks

Haritha, R., Sureshbabu, D., & Sammulal, P. (2019) · Communications in computer and information science · doi:10.1007/978-981-13-9184-2_24 · Cited by 7

Heart Disease Detection from Neonatal Infrared Thermograms Using Multiresolution Features and Data Augmentation

Savaşci, D., Ceylan, M., Örnek, A. H., Konak, M., & Soylu, H. (2020) · International Journal of Intelligent Systems and Applications in Engineering · doi:10.18201/ijisae.2020158886 · Cited by 7

A Comparative Analysis of Cardiac Data Classification using Support Vector Machine with Various Kernels

Mohapatra, S. K., Behera, S., & Mohanty, M. N. (2020) · International Conference on Communications and Signal Processing (ICCSP) · doi:10.1109/iccsp48568.2020.9182189 · Cited by 7

An Artificial Neural Network-Based Estimation of Bremsstarahlung Photon Flux Calculated by MCNPX

Tekin, H. O., Manıcı, T., Altunsoy, E. E., Yılancıoğlu, K., & Yilmaz, B. (2017) · Acta Physica Polonica A · doi:10.12693/aphyspola.132.967 · Cited by 7

Artificial neural networks applied for predicting and explaining the education level of Twitter users

Florea, A. R., & Roman, M. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00832-1 · Cited by 8

Prediction of Trypanosoma evansi infection in dromedaries using artificial neural network (ANN)

Benfodil, K., Benbouras, M. A., Ansel, S., Cherif, A. M., & Aït-Oudhia, K. (2022) · Veterinary Parasitology · doi:10.1016/j.vetpar.2022.109716 · Cited by 7

Comparative Analysis of Models of Gene and Neural Networks

Samuilik, I., Sadyrbaev, F., & Ogorelova, D. (2023) · Contemporary Mathematics · doi:10.37256/cm.4220232404 · Cited by 7

Study on the Efficiency of a Multi-layer Perceptron Neural Network Based on the Number of Hidden Layers and Nodes for Diagnosing Coronary- Artery Disease

Moghaddasi, H., Ahmadzadeh, B., Rabiei, R., & Farahbakhsh, M. (2017) · Jentashapir Journal of Health Research · doi:10.5812/jjhr.63032 · Cited by 7

Land cover change detection using focused time delay neural network

Panigrahi, S., Verma, K., & Tripathi, P. (2018) · Soft Computing · doi:10.1007/s00500-018-3395-3 · Cited by 7

Diagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural Networks

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Review of artificial neural network application in nanotechnology

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