Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions

IK Nti, AF Adekoya, BA Weyori, F Keyeremeh - Decision Analytics Journal, 2023 - Elsevier
Technology application in healthcare is a recent field devoted to sustainability in the
healthcare industry. However, research in this sector has grown at a rapid pace. While this …

[HTML][HTML] Ethical considerations of using ChatGPT in health care

C Wang, S Liu, H Yang, J Guo, Y Wu, J Liu - Journal of Medical Internet …, 2023 - jmir.org
ChatGPT has promising applications in health care, but potential ethical issues need to be
addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from …

[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

N Díaz-Rodríguez, J Del Ser, M Coeckelbergh… - Information …, 2023 - Elsevier
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …

Accuracy of ChatGPT‐generated information on head and neck and oromaxillofacial surgery: a multicenter collaborative analysis

LA Vaira, JR Lechien, V Abbate, F Allevi… - … –Head and Neck …, 2024 - Wiley Online Library
Objective To investigate the accuracy of Chat‐Based Generative Pre‐trained Transformer
(ChatGPT) in answering questions and solving clinical scenarios of head and neck surgery …

Determinants of physicians' intention to use AI-assisted diagnosis: An integrated readiness perspective

PJ Hsieh - Computers in Human Behavior, 2023 - Elsevier
Artificial intelligence (AI) in medical imaging applications improves the effectiveness and
efficiency of disease diagnosis in medical image analysis through neural networks, machine …

BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability

S Gao, H Zhou, Y Gao, X Zhuang - Medical Image Analysis, 2023 - Elsevier
Due to the cross-domain distribution shift aroused from diverse medical imaging systems,
many deep learning segmentation methods fail to perform well on unseen data, which limits …

[HTML][HTML] Harnessing the power of AI: a comprehensive review of its impact and challenges in nursing science and healthcare

S Yelne, M Chaudhary, K Dod, A Sayyad, R Sharma - Cureus, 2023 - ncbi.nlm.nih.gov
This comprehensive review delves into the impact and challenges of Artificial Intelligence
(AI) in nursing science and healthcare. AI has already demonstrated its transformative …

Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations

P Esmaeilzadeh - Artificial Intelligence in Medicine, 2024 - Elsevier
Healthcare organizations have realized that Artificial intelligence (AI) can provide a
competitive edge through personalized patient experiences, improved patient outcomes …

[PDF][PDF] ChatGPT's contributions to the evolution of neurosurgical practice and education: a systematic review of benefits, concerns and limitations.

H Bečulić, E Begagić, R Skomorac, A Mašović… - Medicinski …, 2024 - ljkzedo.ba
Aim This study provides a comprehensive review of the current literature on the use of
ChatGPT, a generative Artificial Intelligence (AI) tool, in neurosurgery. The study examines …