[HTML][HTML] Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …
approaches to solving various challenges, such as disease predictions, drug discovery …
Integrating artificial intelligence tools in the clinical research setting: the ovarian cancer use case
L Escudero Sanchez, T Buddenkotte, M Al Sa'd… - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) methods applied to healthcare problems have shown enormous
potential to alleviate the burden of health services worldwide and to improve the accuracy …
potential to alleviate the burden of health services worldwide and to improve the accuracy …
New Trends in Ovarian Cancer Diagnosis Using Deep Learning. A Systematic Review
M El-Khatib, D Popescu, O Teodor, L Ichim - IEEE Access, 2024 - ieeexplore.ieee.org
Ovarian cancer (OC) is one of the most common types of cancer in women. Surgery and
chemotherapy are still the most common forms of treatment; however, their success depends …
chemotherapy are still the most common forms of treatment; however, their success depends …
Transformer-based segmentation of adnexal lesions and ovarian implants in CT images
A Rangnekar, KM Boehm, EA Aherne… - arXiv preprint arXiv …, 2024 - arxiv.org
Two self-supervised pretrained transformer-based segmentation models (SMIT and Swin
UNETR) fine-tuned on a dataset of ovarian cancer CT images provided reasonably accurate …
UNETR) fine-tuned on a dataset of ovarian cancer CT images provided reasonably accurate …
DeepOvaNet: A Comprehensive Deep Learning Framework for Predicting and Diagnosing Ovarian Cancer in Women Across Menopausal Transitions
Ovarian cancer is a type of cancer that begins in the ovaries, the female reproductive organ
that produces eggs. It is the fifth most common cause of cancer-related death among …
that produces eggs. It is the fifth most common cause of cancer-related death among …
Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case
A Sa'd, J Darcy, P Browne, M Crispin-Ortuzar… - 2023 - repository.cam.ac.uk
Artificial intelligence (AI) methods applied to healthcare problems have shown enormous
potential to alleviate the burden of health services worldwide and to improve the accuracy …
potential to alleviate the burden of health services worldwide and to improve the accuracy …
[PDF][PDF] Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case. Diagnostics 2023, 13, 2813
L Escudero Sanchez, T Buddenkotte, M Al Sa'd… - 2023 - researchgate.net
Artificial intelligence (AI) methods applied to healthcare problems have shown enormous
potential to alleviate the burden of health services worldwide and to improve the accuracy …
potential to alleviate the burden of health services worldwide and to improve the accuracy …
Revolutionizing Emergency Medicine: A Comprehensive Review of Artificial Intelligence Applications and Their Impact
AT Saremi, B Abbasi… - Sarem Journal of …, 2023 - saremjrm.com
The integration of Artificial Intelligence (AI) into the field of emergency medicine has ushered
in a transformative era in healthcare. This narrative review provides a comprehensive …
in a transformative era in healthcare. This narrative review provides a comprehensive …