| Title | Journal | Q | Link |
| Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning. | Computer Methods and Programs in Biomedicine | Q1 | https://www.sciencedirect.com/science/article/pii/S0169260722003339 |
| Computer-Aided Diagnosis of Coal Workers' Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review. | nternational Journal of Environmental Research and Public Health
| Q1 | https://www.mdpi.com/1660-4601/19/11/6439 |
| Breast Cancer Classification by Using Multi-Headed Convolutional Neural Network Modeling | healthcare | Q2 | https://www.mdpi.com/2227-9032/10/12/2367 |
| Artificial intelligence-based fuzzy logic systems for predicting radiation protection awareness levels among university population | Radiation Physics and Chemistry | Q2 | https://www.sciencedirect.com/science/article/abs/pii/S0969806X23001330 |
| Ilipo-pseaac: Identification of lipoylation sites using statistical moments and general pseaac | Computers, Materials and Continua | Q2 | https://www.10.32604/cmc.2022.021849 |
| DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images | Applied Sciences | Q2 | https://www.mdpi.com/2076-3417/13/4/2082 |
| A fuzzy inference-based decision support system for disease diagnosis | The Computer Journal | Q2 | https://academic.oup.com/comjnl/article-abstract/66/9/2169/6603446 |
| A closer look at the current knowledge and prospects of artificial intelligence integration in dentistry practice: A cross-sectional study | Heliyon | Q2 | https://www.cell.com/heliyon/pdf/S2405-8440(23)04297-4.pdf |
| Artificial intelligence-based fuzzy logic systems for predicting radiation protection awareness levels among university population | Radiation Physics and Chemistry | Q2 | https://www.sciencedirect.com/science/article/pii/S0969806X23001330 |
| Monkeypox genome mutation analysis using a timeseries model based on long short-term memory | Plos one
| Q2 | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0290045 |
| Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques | Cancers | Q2 | https://www.mdpi.com/2072-6694/15/21/5247
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