Frontotemporal dementia: a systematic review of artificial intelligence approaches in differential diagnosis by Serena Dattola, Augusto Ielo, Giuseppe Varone, Giuseppe Varone, Alberto Cacciola, Angelo Quartarone, Lilla Bonanno

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Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review by Aijing Luo, Wei Chen, Hongtao Zhu, Wenzhao Xie, Xi Chen, Zhenjiang Liu, Zirui Xin

“…The patient data used in these studies comprised demographics, clinical characteristics, various types of imaging (9/23, 39%), and electrophysiological signals (7/23, 30%). …”
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Deep dive into deep learning methods for cervical cancer detection and classification by Pooja Patre, Dipti Verma

“…We explore various deep learning architectures, particularly convolutional neural networks (CNNs), and their applications in the segmentation and classification of cervical cytology images. …”
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Role of information technology in enhancing competitive priorities: Evidence from Yemeni pharmaceutical sector by Khadeeja Aljaradi, Ahmad Alshami

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Harnessing Deep Learning for Lung Cancer Detection and Prevention: A Comprehensive Survey by Tidke Dipika, Banait Satish S.

“…This survey investigates how deep learning is changing the landscape of lung cancer detection and prevention, with attention to recent breakthroughs in medical imaging analysis. Deep learning models have had some success in accurately classifying lung nodules and other CT abnormalities using convolutional neural networks (CNNs), as well as advanced architecture such as ResNet and U-Net. …”
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From black box AI to XAI in neuro-oncology: a survey on MRI-based tumor detection by Asmita, Praveen Mittal

“…It also provides an in-depth analysis of widely used MRI datasets, highlighting persistent challenges such as data imbalance, overfitting, and variability across imaging domains. …”
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Deep Learning-Based Postural Asymmetry Detection Through Pressure Mat by Iker Azurmendi, Manuel Gonzalez, Gustavo García, Ekaitz Zulueta, Elena Martín

“…In this paper we will discuss the application of deep learning algorithms in the analysis of pressure data for the detection of postural asymmetries in 139 patients aged 3 to 20 years. …”
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Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes by Ashok Kumar Sah, Rabab H. Elshaikh, Manar G. Shalabi, Anass M. Abbas, Pranav Kumar Prabhakar, Asaad M. A. Babker, Ranjay Kumar Choudhary, Vikash Gaur, Ajab Singh Choudhary, Shagun Agarwal

“…Advances in machine learning, deep neural networks, and multi-omics data analysis enable precise prognostication, tailored antiretroviral therapy, and early detection of drug resistance. …”
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Advanced Chemometric Techniques for Environmental Pollution Monitoring and Assessment: A Review by Shaikh Manirul Haque, Yunusa Umar, Abuzar Kabir

“…Chemometrics has emerged as a powerful approach for deciphering complex environmental systems, enabling the identification of pollution sources through the integration of faunal community structures with physicochemical parameters and in situ analytical data. Leveraging advanced technologies—including satellite imaging, drone surveillance, sensor networks, and Internet of Things platforms—chemometric methods facilitate real-time and longitudinal monitoring of both pristine and anthropogenically influenced ecosystems. …”
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Enhanced Detection and Segmentation of Brain Tumors Using a Dense BW-CNN Approach by Sangeeta Kakarwal, Rahul Mapari, Anuj Kumar Jain, Vipin Sharma, Pranoti Prashant Mane, Jambi Ratna Raja Kumar, Ranjan K. Pradhan

“…However, manual MRI data analysis is time-consuming and prone to errors. …”
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Quantitative study of selected Facebook marketing communication engagement factors in the optics of different post types by Ľudovit Nastišin, Richard Fedorko, Vladimir Vavřečka, Radovan Bačik, Martin Rigelsky

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ASSESSMENT OF THE INFLUENCE OF MODERN CRUSTAL MOVEMENTS AND THE RECENTLY ACTIVATED PRECAMBRIAN STRUCTURAL PLAN ON THE RELIEF OF THE LAKE LADOGA REGION (THE SOUTHEASTERN BALTIC SHIE... by A. O. Agibalov, V. A. Zaytsev, A. A. Sentsov, A. S. Devyatkina

“…It presents the results of comprehensive studies, including processing of the regional geological and geomorphological data by the modern methods, as the major novelty of our work. …”
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Single-cell sequencing uncovers a high ESM1-expression endothelial cell subpopulation associated with bladder cancer progression and the immunosuppressive microenvironment by Yifeng Qiu, Yuhan Wang, Jiahe Liu, Baohua Liu, Kai Sun, Qi Hou

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AI and Machine Learning for Precision Medicine in Acute Pancreatitis: A Narrative Review by Sandra López Gordo, Elena Ramirez-Maldonado, Maria Teresa Fernandez-Planas, Ernest Bombuy, Robert Memba, Rosa Jorba

“…These models integrate clinical, laboratory, and imaging data, including radiomics features, and are useful in diagnostic and prognostic accuracy in AP. …”
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The correlation between neutrophil/lymphocyte ratio and the MRI burden and cognitive function in patients with cerebral small vessel disease by Mengyao Zhao, Mengyao Zhao, Xiaohua Xie, Xiaohua Xie, Zhiwei Hao, Zhiwei Hao, Mengsi Ren, Zhenjie Teng, Zhenjie Teng, Jing Xu, Jing Xu, Chunhui Shan, Yanhong Dong, Yanhong Dong, Peiyuan Lv, Peiyuan Lv

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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…The HAM10000 dataset with data augmentation is considered to assess the performance of the proposed method. …”
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Baseline 18F-FDG PET/CT parameters in predicting the efficacy of immunotherapy in non-small cell lung cancer by Lu Zheng, Lu Zheng, Yanzhu Bian, Yanzhu Bian, Yujing Hu, Congna Tian, Xinchao Zhang, Shuheng Li, Xin Yang, Yanan Qin

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The Evolution of Generative AI: Trends and Applications by Maria Trigka, Elias Dritsas

“…Generative artificial intelligence (AI) has revolutionized AI by enabling high-fidelity content creation across text, images, audio, and structured data. This survey explores the core methodologies, advancements, applications, and ongoing challenges of generative AI, covering key models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformer-based architectures. …”
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Multifaceted roles of Afghan women immigrants in Peshawar beyond their precarious legal and social status by Kashif Iqbal

“…The qualitative research method was employed by conducting 19 in-depth interviews with Afghan women immigrants, reaching data saturation. Thematic narrative analysis was used to explore the lived experiences (multifaceted role) of participants and reveal recurring themes. …”
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Automatic cervical tumors segmentation in PET/MRI by parallel encoder U-net by Shuai Liu, Zheng Tan, Tan Gong, Xiaoying Tang, Hongzan Sun, Fei Shang

“…Abstract Background Automatic segmentation of cervical tumors is important in quantitative analysis and radiotherapy planning. Methods A parallel encoder U-Net (PEU-Net) integrating the multi-modality information of PET/MRI was proposed to segment cervical tumor, which consisted of two parallel encoders with the same structure for PET and MR images. …”
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