Artificial intelligence for antimicrobial resistance prediction: challenges and opportunities towards practical implementation

T Ali, S Ahmed, M Aslam - Antibiotics, 2023 - mdpi.com
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …

Antimicrobial learning systems: an implementation blueprint for artificial intelligence to tackle antimicrobial resistance

A Howard, S Aston, A Gerada, N Reza… - The Lancet Digital …, 2024 - thelancet.com
The proliferation of various forms of artificial intelligence (AI) brings many opportunities to
improve health care. AI models can harness complex evolving data, inform and augment …

Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning

WJ Bolton, R Wilson, M Gilchrist, P Georgiou… - Nature …, 2024 - nature.com
Antimicrobial resistance (AMR) and healthcare associated infections pose a significant
threat globally. One key prevention strategy is to follow antimicrobial stewardship practices …

Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop

A Howard, N Reza, S Aston, B Woods… - The Lancet Infectious …, 2024 - thelancet.com
Health-care systems, food supply chains, and society in general are threatened by the
inexorable rise of antimicrobial resistance. This threat is driven by many factors, one of …

If our aim is to build morality into an artificial agent, how might we begin to go about doing so?

R Seeamber, C Badea - IEEE Intelligent Systems, 2023 - ieeexplore.ieee.org
As AI becomes pervasive in most fields, from health care to autonomous driving, it is
essential that we find successful ways of building morality into our machines, especially for …

Using digital health technologies to optimise antimicrobial use globally

TM Rawson, N Zhu, R Galiwango, D Cocker… - The Lancet Digital …, 2024 - thelancet.com
Digital health technology (DHT) describes tools and devices that generate or process health
data. The application of DHTs could improve the diagnosis, treatment, and surveillance of …

Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness

NA Anwar, C Badea - arXiv preprint arXiv:2404.15369, 2024 - arxiv.org
As artificially intelligent systems become more anthropomorphic and pervasive, and their
potential impact on humanity more urgent, discussions about the possibility of machine …

[PDF][PDF] Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation. Antibiotics. 2023; 12 (3): 523

T Ali, S Ahmed, M Aslam - 2023 - researchgate.net
Antimicrobial resistance (AMR) is emerging as a potential threat to many lives worldwide. It
is very important to understand and apply effective strategies to counter the impact of AMR …

The ethical implementation of artificial intelligence in emergency medicine

SC FREEMAN - 2023 - bridges.monash.edu
This thesis explores the ethical considerations and implementation challenges related to the
integration and use of artificial intelligence in Australian emergency medicine. Four case …