AI's impact on personalized medicine: Tailoring treatments for improved health outcomes

FC Udegbe, OR Ebulue, CC Ebulue… - Engineering Science & …, 2024 - fepbl.com
This review paper explores the transformative impact of artificial intelligence (AI) on
personalized medicine and its potential to revolutionize healthcare outcomes. AI …

Cardiac arrest and cardiopulmonary resuscitation in the next decade: Predicting and shaping the impact of technological innovations

F Semeraro, S Schnaubelt, CM Hansen, EG Bignami… - Resuscitation, 2024 - Elsevier
Introduction Cardiac arrest (CA) is the third leading cause of death, with persistently low
survival rates despite medical advancements. This article evaluates the potential of …

Ethical Framework for Responsible Foundational Models in Medical Imaging

A Das, D Jha, J Sanjotra, O Susladkar, S Sarkar… - arXiv preprint arXiv …, 2024 - arxiv.org
Foundational models (FMs) have tremendous potential to revolutionize medical imaging.
However, their deployment in real-world clinical settings demands extensive ethical …

AI Agents from Copilots to Coworkers: Historical Context, Challenges, Limitations, Implications, and Practical Guidelines

K Hayawi, S Shahriar - 2024 - preprints.org
This paper examines the transformative journey of Artificial Intelligence (AI) agents from
copilots to integral coworkers within diverse sectors. Beginning with a foundational …

XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare

F Nazary, Y Deldjoo, T Di Noia, E di Sciascio - arXiv preprint arXiv …, 2024 - arxiv.org
The integration of Large Language Models (LLMs) into healthcare diagnostics offers a
promising avenue for clinical decision-making. This study outlines the development of a …

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

R Guerra - Italian Journal of Medicine, 2024 - italjmed.org
In hospital settings, effective risk management is critical to ensuring patient safety, regulatory
compliance, and operational effectiveness. Conventional approaches to risk assessment …

Leveraging Artificial Intelligence to Address the Paradox of Judgment and Accountability in Depression Treatment

J Tong, DJ Xu, A Yan, Z Li - 2024 - aisel.aisnet.org
Treating depression is challenging due to the lack of healthcare professionals and the
stigma against depression. Artificial intelligence (AI) helps overcome these obstacles …

Opportunities and Challenges for AI-Based Support for Speech-Language Pathologists

H Suh, A Dangol, H Meadan, CA Miller… - Proceedings of the 3rd …, 2024 - dl.acm.org
Speech-Language Pathologists (SLPs) are professionals who work with children and adults
in the prevention, assessment, diagnosis, and intervention for speech, language, and …

[HTML][HTML] Ensuring Patient Safety in Pediatric Dental Care

D Lee - Journal of the Korean Academy of Pediatric Dentistry, 2024 - journal.kapd.org
This review aims to examine safety concerns in pediatric dental care and underscore the
need for comprehensive patient safety initiatives within the Korean Academy of Pediatric …

Secure and Efficient Sharing of Model Insights between Commercial Large Language Models

N Sriprasert, T Somchaiya, P Khamphanit, P Chaikiatsri… - 2024 - researchsquare.com
Rapid advancements in large language models (LLMs) require secure and efficient
mechanisms for sharing insights between different models, particularly when handling …