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 …
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 …
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
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 …
of pathogenic lung disease is critical for medication. Traditionally, determining the …
Breast cancer detection in mammography images: a CNN-based approach with feature selection
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 …
cancer, non-cancer, and suspicious cancer, plays a crucial role in the prognosis of breast …
Artificial Intelligence's Significance in Diseases with Malignant Tumours
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 …
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 …
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 …
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 …
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 …
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 …
advancements signifying a tenacious challenge in healthcare. Artificial intelligence exhibits …