Clinical applications of artificial intelligence—an updated overview

Ș Busnatu, AG Niculescu, A Bolocan… - Journal of clinical …, 2022 - mdpi.com
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Latest advances in hepatocellular carcinoma management and prevention through advanced technologies

TA Addissouky, IETE Sayed, MMA Ali, Y Wang… - Egyptian Liver …, 2024 - Springer
Background Hepatocellular carcinoma (HCC) is a common type of liver cancer, with a high
mortality rate. Hepatocellular carcinoma is a type of liver cancer that can be effectively …

A transfer learning approach with a convolutional neural network for the classification of lung carcinoma

M Humayun, R Sujatha, SN Almuayqil, NZ Jhanjhi - Healthcare, 2022 - mdpi.com
Lung cancer is among the most hazardous types of cancer in humans. The correct diagnosis
of pathogenic lung disease is critical for medication. Traditionally, determining the …

Breast cancer detection in mammography images: a CNN-based approach with feature selection

Z Jafari, E Karami - Information, 2023 - mdpi.com
The prompt and accurate diagnosis of breast lesions, including the distinction between
cancer, non-cancer, and suspicious cancer, plays a crucial role in the prognosis of breast …

Artificial Intelligence's Significance in Diseases with Malignant Tumours

R Doshi, KK Hiran, M Gök… - Mesopotamian …, 2023 - journals.mesopotamian.press
In the field of medicine, artificial intelligence has become a useful tool, particularly in the
diagnosis and treatment of disorders with malignant tumours. Deep learning and machine …

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam

Y Kumaran S, JJ Jeya, SB Khan, S Alzahrani… - BMC medical …, 2024 - Springer
Medical imaging stands as a critical component in diagnosing various diseases, where
traditional methods often rely on manual interpretation and conventional machine learning …

[PDF][PDF] Lupus, oru

S Busnatu, AG Niculescu, A Bolocan, GED Petrescu… - J. Clin. Med, 2022 - academia.edu
Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture

BZ Wubineh, A Rusiecki, K Halawa - Neural Computing and Applications, 2024 - Springer
Cervical cancer is a type of cancer in which abnormal cell growth occurs on the surface
lining of the cervix. In this study, we propose a novel residual deep convolutional generative …

Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review

O Adelaja, H Alkattan - Mesopotamian Journal of Artificial …, 2023 - mesopotamian.press
Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and
treatment of a variety of diseases and conditions. However, the process is time-consuming …

[HTML][HTML] AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies

DU Kapoor, PK Saini, N Sharma, A Singh… - EXCLI …, 2024 - pmc.ncbi.nlm.nih.gov
Oral cancer retains one of the lowest survival rates worldwide, despite recent therapeutic
advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits …