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Toward explainable AI in radiology: Ensemble-CAM for effective thoracic disease localization in chest X-ray images using weak supervised learning

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A Comprehensive Review of Methods and Equipment for Aiding Automatic Glaucoma Tracking

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A New Method to Detect Buffalo Mastitis Using Udder Ultrasonography Based on Deep Learning Network

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EARLY DETECTION OF BRAIN TUMOR USING MRI AND TRANSFER LEARNING

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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection

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Monitoring Parkinson's disease progression based on recorded speech with missing ordinal responses and replicated covariates

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MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions

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A ensemble methodology for automatic classification of chest X-rays using deep learning

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PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps

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MAEF-Net: MLP Attention for Feature Enhancement in U-Net based Medical Image Segmentation Networks

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Comparative analysis of parametric B-spline and Hermite cubic spline based methods for accurate ECG signal modeling

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Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT

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Computer-Aided Diagnosis Methods for High-Frequency Ultrasound Data Analysis: A Review

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Enhanced dataset synthesis using conditional generative adversarial networks

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Application of novel DIRF feature selection algorithm for automated brain disease detection

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BFCNet: a CNN for diagnosis of ductal carcinoma in breast from cytology images

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What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education

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Therapy-based expert system on function and postural stability after anterior cruciate ligament reconstruction: a pilot study

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Transparent and trustworthy interpretation of COVID-19 features in chest X-rays using explainable AI

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Segmentation prompts classification: A nnUNet-based 3D transfer learning framework with ROI tokenization and cross-task attention for esophageal cancer T-stage diagnosis

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A new technique for estimating the foveal avascular zone dimensions

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Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time

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Classification of macular abnormalities using a lightweight CNN-SVM framework

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Lightweight multi-scale classification of chest radiographs via size-specific batch normalization

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A survey and taxonomy of 2.5D approaches for lung segmentation and nodule detection in CT images

Suji, R. J., Bhadauria, S. S., & Godfrey, W. W. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107437 · Cited by 10

Dense Vector Embedding Based Approach to Identify Prominent Disseminators From Twitter Data Amid COVID-19 Outbreak

Agarwal, A., Uniyal, D., Toshniwal, D., & Deb, D. (2021) · IEEE Transactions on Emerging Topics in Computational Intelligence · doi:10.1109/tetci.2021.3067661 · Cited by 10

Deep Learning Algorithms for Efficient Analysis of ECG Signals to Detect Heart Disorders

Dey, S., Pal, R., & Biswas, S. (2022) · Biomedical engineering · doi:10.5772/intechopen.103075 · Cited by 11

A Hybrid Ant Colony Optimization for Parkinson’s Disease Classification Based on Synthetic Minority Oversampling and Adaptive Synthetic Techniques

Saheed, Y. K., Abdulganiyu, O. H., Abdulsalam, M., Mustapha, M., Olivier, M. M., & Majikumna, K. U. (2024) · International Conference on Data Analytics for Business and Industry (ICDABI) · doi:10.1109/icdabi63787.2024.10800028 · Cited by 9

SEMI-PLC: A framework for semi-supervised medical images segmentation with pseudo label correction

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Liver Tumor Classification Using Optimal Opposition-Based Grey Wolf Optimization

Jose, R., Chacko, S., Jayakumar, J., & Jarin, T. (2022) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001422400055 · Cited by 9

Comparative Study of Deep Learning Techniques for Automated Classification of Lung Diseases

Rekha, H., Kumaravel, T., Natesan, P., Brinda, B. M., Sangeetha, S., & Dharanesh, S. (2023) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec58147.2023.10276053 · Cited by 9

What does it mean to provide decision support to a responsible and competent expert?

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From labels to priors in capsule endoscopy: a prior guided approach for improving generalization with few labels

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Plant disease prescription recommendation based on electronic medical records and sentence embedding retrieval

Ding, J., Qiao, Y., & Zhang, L. (2023) · Plant Methods · doi:10.1186/s13007-023-01070-6 · Cited by 10

Revolutionizing emergency care: an overview of the transformative role of artificial intelligence in diagnosis, triage, and patient management

Dehbaghi, H. A., & Khoshgard, K. (2025) · International Journal of Emergency Medicine · doi:10.1186/s12245-025-01049-1 · Cited by 16

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images

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Brain Tumor Classification on Multi-Modality MRI Using Radiomic Features

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TGFN-SD: A text-guided multimodal fusion network for swine disease diagnosis

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YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites

Mura, D. A., Zedda, L., Loddo, A., & Ruberto, C. D. (2025) · Journal of Imaging · doi:10.3390/jimaging11040117 · Cited by 7

Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning

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Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation

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Clearer Lub-Dub: A Novel Approach in Heart Sound Denoising Based on Transfer Learning

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On the building of efficient self-adaptable health data science services by using dynamic patterns

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Combination of the Features of Pre-trained Xception and VGG16 Models to Identify Childhood Pneumonia from Chest X-Ray Images

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"LeukNet" - A Model of Convolutional Neural Network for the Diagnosis of Leukemia

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Multi-Modal Multi-Stream UNET Model for Liver Segmentation

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An Explainable YOLO-Based Deep Learning Framework for Pneumonia Detection from Chest X-Ray Images

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Identifying the Trends of Global Publications in Health Information Technology Using Text-mining Techniques

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Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models

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Computer aided diagnostic system with reduced electrode set for depression detection using spatio-temporal attention mechanism

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Current status and future direction of cancer research using artificial intelligence for clinical application

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A Two stage deep learning network for automated femoral segmentation in bilateral lower limb CT scans

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Varicella zoster early detection with deep learning

Velásquez, R. M. A., & Lara, J. V. M. (2020) · IEEE Engineering International Research Conference (EIRCON) · doi:10.1109/eircon51178.2020.9254033 · Cited by 6

On The Potential of Image Moments for Medical Diagnosis

Ruberto, C. D., Loddo, A., & Putzu, L. (2023) · Journal of Imaging · doi:10.3390/jimaging9030070 · Cited by 9

The seven key challenges for life-critical shared decision making systems

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Neural network training with highly incomplete medical datasets

Chang, Y.-W., Natali, L., Jamialahmadi, O., Romeo, S., Pereira, J. B., & Volpe, G. (2022) · Machine Learning Science and Technology · doi:10.1088/2632-2153/ac7b69 · Cited by 6

Deep learning-based CAD system for Alzheimer’s diagnosis using deep downsized KPLS

Neffati, S., Mekki, K., & Machhout, M. (2025) · Scientific Reports · doi:10.1038/s41598-025-03010-x · Cited by 5

Insights on the therapeutic potential of fibrinolytic enzymes, emphasis on Nattokinase and its enhanced production using advanced technologies: a critical review

Ashokan, A. K., & Mohanasrinivasan, V. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-07102-1 · Cited by 5

Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays

Kumar, S., Mishra, A. K., Mishra, R. K., Shrivastava, A., Chhabra, P., & Chhabra, G. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-7820-5_10 · Cited by 5

Facial recognition for disease diagnosis using a deep learning convolutional neural network: a systematic review and meta-analysis

Kong, X., Wang, Z., Sun, J., Qi, X., Qiu, Q., & Ding, X. X. (2024) · Postgraduate Medical Journal · doi:10.1093/postmj/qgae061 · Cited by 5

Health Information Technology During during the COVID-19 Epidemic

Dastani, M., & Atarodi, A. (2022) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v14i1.11090 · Cited by 5

Implementation of Personalized Medicine by Artificial Intelligence Platform

Yakimenko, Y., Stirenko, S., Koroliouk, D., Gordienko, Y. G., & Zanzotto, F. M. (2022) · Advances in intelligent systems and computing · doi:10.1007/978-981-19-3590-9_46 · Cited by 5

Hybrid Multi-Model Fuzzy Ensemble Approach for Cardiovascular Diseases Detection

Chugh, M., Anantavrasilp, I., & Thiemjarus, S. (2023) · IEEE World AI IoT Congress (AIIoT) · doi:10.1109/aiiot58121.2023.10174458 · Cited by 5

Evaluating Explainability in Transfer Learning Models for Pulmonary Nodules Classification: A Comparative Analysis of Generalizability and Interpretability

Bouamrane, A., Derdour, M., Alksas, A., & El-Baz, A. S. (2025) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001425400014 · Cited by 5

A Segmentation Method of Lung Parenchyma From Chest CT Images Based on Dual U-Net

Tan, W., Liu, Y., Liu, H., Yang, J., Yin, X., & Zhang, Y. (2019) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm47256.2019.8983381 · Cited by 5

Extended Hapicare: A telecare system with probabilistic diagnosis and self-adaptive treatment

Kordestani, H., Mojarad, R., Chibani, A., Barkaoui, K., Amirat, Y., & Zahran, W. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115749 · Cited by 5

Using Cough Sounds for the Recognition of Multiclass Respiratory Diseases With Artificial Intelligence: A Review

Zhang, P.-F., Ting, H.-N., & Chang, S. (2025) · IEEE Access · doi:10.1109/access.2025.3584401 · Cited by 4

SkinAttn-Net: a multi-level attention-based network for skin lesion segmentation

Söylemez, Ö. F. (2025) · Scientific Reports · doi:10.1038/s41598-025-33767-0 · Cited by 4

EEG signal analysis for the classification of Alzheimer’s and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques

Lati̇foğlu, F., Orhanbulucu, F., Murugappan, M., Gürbüz, S. N., Çayır, B., & Avcı, F. Z. (2025) · International Journal of Neuroscience · doi:10.1080/00207454.2025.2529301 · Cited by 4

An Enhanced Framework for Overcoming Pitfalls and Enabling Model Interpretation in Pneumonia and Covid-19 Classification

Santos, M. A. D. C., & Berton, L. (2023) · IEEE Access · doi:10.1109/access.2023.3325404 · Cited by 4

Information maximization-based clustering of histopathology images using deep learning

Rumman, M. I., Ono, N., Ohuchida, K., Altaf‐Ul‐Amin, M., Huang, M., & Kanaya, S. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000391 · Cited by 4

Introduction to computer-aided diagnosis (CAD) tools and applications

Prakash, D., & Gupta, A. (2024) · Advances in computers · doi:10.1016/bs.adcom.2024.07.001 · Cited by 4

Multi-scale and contrastive learning for pediatric chest radiograph classification tasks

Chen, Q., Lin, Z., Li, X., Zheng, J., Zhang, Y., & Ji, R. (2024) · Displays · doi:10.1016/j.displa.2024.102951 · Cited by 4

A comparative analysis of CNNs and LSTMs for ECG-based diagnosis of arrythmia and congestive heart failure

Katal, N., Garg, H., & Sharma, B. (2025) · Computer Methods in Biomechanics & Biomedical Engineering · doi:10.1080/10255842.2025.2456487 · Cited by 4

Content-based X-ray image retrieval using fusion of local neighboring patterns and deep features for lung disease detection

Prakash, A., & Singh, V. P. (2025) · Radiological Physics and Technology · doi:10.1007/s12194-025-00932-z · Cited by 4

On-Farm Point-of-Care Diagnostic Technologies for Monitoring Health, Welfare, and Performance in Livestock Production Systems

Zeineldin, M. M., Elolimy, A. A., Reddy, P. R. K., Abdelmegeid, M. K., Mellado, M., Elghandour, M. M. M. Y., & Salem, A. Z. M. (2021) · Sustainable agriculture reviews · doi:10.1007/978-3-030-76529-3_7 · Cited by 5

Classification of Skin Lesion Images with Deep Learning Approaches

Bayram, B., Kulavuz, B., Ertuğrul, B., Bayram, B., Bakırman, T., Çakar, T. E., & Doğan, M. (2022) · Baltic Journal of Modern Computing · doi:10.22364/bjmc.2022.10.2.10 · Cited by 4

The problem with Opaque AI

Fainman, A. A. (2019) · The Thinker · doi:10.36615/thethinker.v82i4.373 · Cited by 5

Exploring Unet Architecture for Semantic Segmentation of the Brain MRI Scans

Goyal, S., & Kotambkar, D. M. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-0840-8_43 · Cited by 4

A Tuberculosis Detection Method Using Attention and Sparse R-CNN

Xu, X., Zhang, J., Cheng, X., Lu, L., Zhao, Y., Xu, Z., & Gu, Z. (2022) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2022.07.001 · Cited by 4

Use of systems with deep learning and machine learning for the detection and classification of malignant vs. benign spinal fractures with MRI: can deep/machine learning help us further for detection and characterization?

Pérez-Díaz, M. (2023) · European Radiology · doi:10.1007/s00330-023-09760-4 · Cited by 4

Diagnosing Left Bundle Branch Block in 12-lead Electrocardiogram using Self-Attention Convolutional Neural NetworksPreprint

Sadeghi, A., Rezaee, A., & Hajati, F. (2023) · medRxiv · doi:10.1101/2023.06.25.23291867 · Cited by 4

Designing a web-based application for computer-aided diagnosis of intraosseous jaw lesions and assessment of its diagnostic accuracy

Mohammadnezhad, M., Kajan, Z. D., & Razavi, A. H. (2025) · Dentomaxillofacial Radiology · doi:10.1093/dmfr/twaf036 · Cited by 3

A lesion region awareness and adaptive label-relation graph algorithm for multi-label chest X-ray image classification

Wang, Q., Meng, W., Gan, C., Yu, H., & Cheng, Y. Q. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.113873 · Cited by 4

Artificial intelligence in microscopic hair imaging for scalp disorders: From image acquisition to clinical decisions

Gong, C., Su, Y., Ruan, S., & Hu, H. (2026) · Medical Image Analysis · doi:10.1016/j.media.2026.104017 · Cited by 4

Improving Digital Image Quality for Convolution Neural Network Based Computer-Aided Diagnosis (CNN-CAD) of Skin Cancer

Yalçin, T., & Gursel, A. T. (2021) · Çukurova Üniversitesi Mühendislik Fakültesi Dergisi · doi:10.21605/cukurovaumfd.1048370 · Cited by 3

Whole Slide Image Multi-Classification of Cervical Epithelial Lesions Based on Unsupervised Pre-training

Zhao, M., Ling, M., Wang, Z., Shi, J., Kan, H., An, H., Han, W., Bartlett, J., & Lu, W. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871149 · Cited by 3

Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning

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