Application of ChatGPT in routine diagnostic pathology: promises, pitfalls, and potential future directions

C Schukow, SC Smith, E Landgrebe… - Advances in anatomic …, 2024 - journals.lww.com
Abstract Large Language Models are forms of artificial intelligence that use deep learning
algorithms to decipher large amounts of text and exhibit strong capabilities like question …

Integrating transparency, trust, and acceptance: The intelligent systems technology acceptance model (ISTAM)

ES Vorm, DJY Combs - International Journal of Human–Computer …, 2022 - Taylor & Francis
Intelligent systems such as technologies related to artificial intelligence, robotics, machine
learning, etc. open new insights into data and expand the concept of work in myriad …

Process mining for healthcare: Characteristics and challenges

J Munoz-Gama, N Martin, C Fernandez-Llatas… - Journal of Biomedical …, 2022 - Elsevier
Process mining techniques can be used to analyse business processes using the data
logged during their execution. These techniques are leveraged in a wide range of domains …

Artificial intelligence in medicine: a multinational multi-center survey on the medical and dental students' perception

S Bisdas, CC Topriceanu, Z Zakrzewska… - Frontiers in Public …, 2021 - frontiersin.org
Background: The emerging field of artificial intelligence (AI) will probably affect the practice
for the next generation of doctors. However, the students' views on AI have not been largely …

Artificial intelligence and automated monitoring for assisting conservation of marine ecosystems: A perspective

EM Ditria, CA Buelow, M Gonzalez-Rivero… - Frontiers in Marine …, 2022 - frontiersin.org
Conservation of marine ecosystems has been highlighted as a priority to ensure a
sustainable future. Effective management requires data collection over large spatio-temporal …

A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future

RJ Woodman, AA Mangoni - Aging Clinical and Experimental Research, 2023 - Springer
The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …

[HTML][HTML] The intersection of ChatGPT, clinical medicine, and medical education

RSY Wong, LC Ming, RAR Ali - JMIR Medical Education, 2023 - mededu.jmir.org
As we progress deeper into the digital age, the robust development and application of
advanced artificial intelligence (AI) technology, specifically generative language models like …

Interpretability of clinical decision support systems based on artificial intelligence from technological and medical perspective: A systematic review

Q Xu, W Xie, B Liao, C Hu, L Qin, Z Yang… - Journal of healthcare …, 2023 - Wiley Online Library
Background. Artificial intelligence (AI) has developed rapidly, and its application extends to
clinical decision support system (CDSS) for improving healthcare quality. However, the …

[HTML][HTML] Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Exploring the perceptions of healthcare practitioners in …

A Choudhury, O Asan - Human Factors in Healthcare, 2022 - Elsevier
Effective integration, use, and adoption of Artificial Intelligence (AI) into the healthcare
system will require human factors considerations and a systems approach in addition to …

Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review

S Mureșanu, O Almășan, M Hedeșiu, L Dioșan… - Oral Radiology, 2023 - Springer
This study aimed at performing a systematic review of the literature on the application of
artificial intelligence (AI) in dental and maxillofacial cone beam computed tomography …