29P Artificial intelligence and digital therapeutics: Enhancing predictive models for breast cancer treatment response
Year: 2026
Type: article
Abstract: Artificial Intelligence (AI) and digital therapeutics (DTx) have emerged as transformative technologies in oncology, particularly in predicting and optimizing treatment responses. AI, through machine learning (ML) and deep learning (DL), has revolutionized early detection, precision medicine, and therapeutic decision-making. This study aimed to assess the efficacy of AI-driven predictive models in predicting cancer treatment responses, with a focus on breast cancer.
Source: ESMO Open
Authors: W. Ben Kridis, C. Belfekih Hassen, A. Khanfir
Institution: Hopital Universitaire Habib Bourguiba
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,910
OpenAlex ID: W7146977734
FWCI:
Cites:
Cited by:
Related to: