[HTML][HTML] Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future

D Ueda, SL Walston, S Fujita, Y Fushimi… - Diagnostic and …, 2024 - Elsevier
The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the
industry, offering significant improvements in diagnostic accuracy, efficiency, and patient …

Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security

E Hashmi, MM Yamin, SY Yayilgan - AI and Ethics, 2024 - Springer
This survey paper explores the transformative role of Artificial Intelligence (AI) in information
security. Traditional methods, especially rule-based approaches, faced significant …

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas… - bmj, 2025 - bmj.com
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment
and adoption of AI technologies remain limited in clinical practice. This paper describes the …

[HTML][HTML] Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future

D O'Reilly, J McGrath, I Martin-Loeches - Journal of Intensive Medicine, 2024 - Elsevier
Sepsis remains a major challenge internationally for healthcare systems. Its incidence is
rising due to poor public awareness and delays in its recognition and subsequent …

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

B Koçak, A Ponsiglione, A Stanzione… - Diagnostic and …, 2024 - zora.uzh.ch
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …

Ethical considerations in the use of artificial intelligence and machine learning in health care: a comprehensive review

MH Tilala, PK Chenchala, A Choppadandi, J Kaur… - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing health
care by offering unprecedented opportunities to enhance patient care, optimize clinical …

Benchmarking Generative AI: A Call for Establishing a Comprehensive Framework and a Generative AIQ Test

M Sallam, R Khalil, M Sallam - Mesopotamian Journal of …, 2024 - mesopotamian.press
The introduction and rapid evolution of generative artificial intelligence (genAI) models
necessitates a refined understanding for the concept of “intelligence”. The genAI tools are …

[HTML][HTML] Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare

MKK Rony, SM Numan, K Akter, H Tushar, M Debnath… - Heliyon, 2024 - cell.com
Background With the increasing integration of artificial intelligence (AI) technologies into
healthcare systems, there is a growing emphasis on privacy and ethical considerations …

Artificial intelligence in healthcare: a review of ethical dilemmas and practical applications

EC Anyanwu, CC Okongwu, TO Olorunsogo… - International Medical …, 2024 - fepbl.com
Abstract The fusion of Artificial Intelligence (AI) and healthcare heralds a new era of
innovation and transformation, yet it is not without its ethical quandaries. This …

Diagnostic accuracy of vision-language models on Japanese diagnostic radiology, nuclear medicine, and interventional radiology specialty board examinations

T Oura, H Tatekawa, D Horiuchi, S Matsushita… - Japanese Journal of …, 2024 - Springer
Purpose The performance of vision-language models (VLMs) with image interpretation
capabilities, such as GPT-4 omni (GPT-4o), GPT-4 vision (GPT-4V), and Claude-3, has not …