paper-with-me

Papers

Envisioning Possibilities and Challenges of AI for Personalized Cancer Care

2024-08-19 · Elaine Kong, Kuo-Ting, Huang, Aakash Gautam

The use of Artificial Intelligence (AI) in healthcare, including in caring for cancer survivors, has gained significant interest. However, gaps remain in our understanding of how such AI systems can provide care, especially for ethnic and racial minority groups who continue to face care disparities. Through interviews with six cancer survivors, we identify critical gaps in current healthcare systems such as a lack of personalized care and insufficient cultural and linguistic accommodation. AI, when applied to care, was seen as a way to address these issues by enabling real-time, culturally aligned, and linguistically appropriate interactions. We also uncovered concerns about the implications of AI-driven personalization, such as data privacy, loss of human touch in caregiving, and the risk of echo chambers that limit exposure to diverse information. We conclude by discussing the trade-offs between AI-enhanced personalization and the need for structural changes in healthcare that go beyond technological solutions, leading us to argue that we should begin by asking, ``Why personalization?''

📄 PDF Abstract BibTeX arXiv:2408.10108

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

2023-08-28 · Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth II, Brenna Vaughn 외

Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be e…

Investigation Toward The Economic Feasibility of Personalized Medicine For Healthcare Service Providers: The Case of Bladder Cancer

2023-08-15 · Elizaveta Savchenko, Svetlana Bunimovich-Mendrazitsky

In today's complex healthcare landscape, the pursuit of delivering optimal patient care while navigating intricate economic dynamics poses a significant challenge for healthcare service providers (HSPs). In this already …

Decision Making

Machine Learning Methods in the Computational Biology of Cancer

2014-02-24 · Mathukumalli Vidyasagar

The objectives of this "perspective" paper are to review some recent advances in sparse feature selection for regression and classification, as well as compressed sensing, and to discuss how these might be used to develo…

BIG-bench Machine LearningClassificationcompressed sensingfeature selection+2

A Personalized Data-to-Text Support Tool for Cancer Patients

2019-10-01 · WS 2019 10 · Saar Hommes, Chris van der Lee, Felix Clouth, Jeroen Vermunt 외

In this paper, we present a novel data-to-text system for cancer patients, providing information on quality of life implications after treatment, which can be embedded in the context of shared decision making. Currently,…

Decision Making

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

2024-06-19 · Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel, Smriti Joshi 외

Artificial Intelligence (AI) research in breast cancer Magnetic Resonance Imaging (MRI) faces challenges due to limited expert-labeled segmentations. To address this, we present a multicenter dataset of 1506 pre-treatmen…

Benchmarking