Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

SF Mousavi Baigi, M Sarbaz… - Health science …, 2023 - Wiley Online Library
Abstract Background and Aims This systematic review examined healthcare students'
attitudes, knowledge, and skill in Artificial Intelligence (AI). Methods On August 3, 2022 …

Telemedicine and virtual respiratory care in the era of COVID-19

H Pinnock, P Murphie, I Vogiatzis… - ERJ open …, 2022 - Eur Respiratory Soc
The World Health Organization defines telemedicine as “an interaction between a
healthcare provider and a patient when the two are separated by distance”. The coronavirus …

Medical and dental professionals readiness for artificial intelligence for Saudi Arabia vision 2030

K Aboalshamat, R Alhuzali, A Alalyani… - International Journal of …, 2022 - ijpras.com
Abstract Healthcare Artificial Intelligence (AI) readiness is defined as adequate knowledge,
attitudes, and skills such that health professionals are prepared for AI use in prevention …

[HTML][HTML] Clinicians' views on using artificial intelligence in healthcare: opportunities, challenges, and beyond

A Alanazi - Cureus, 2023 - ncbi.nlm.nih.gov
Introduction: The healthcare industry has made significant progress in information
technology, which has improved healthcare procedures and brought about advancements in …

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

M Gordon, M Daniel, A Ajiboye, H Uraiby, NY Xu… - Medical …, 2024 - Taylor & Francis
Abstract Background Artificial Intelligence (AI) is rapidly transforming healthcare, and there
is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and …

Psychometric properties of the persian version of the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS)

AA Moodi Ghalibaf, M Moghadasin, A Emadzadeh… - BMC Medical …, 2023 - Springer
Introduction There are numerous cases where artificial intelligence (AI) can be applied to
improve the outcomes of medical education. The extent to which medical practitioners and …

[HTML][HTML] Understanding prospective physicians' intention to use artificial intelligence in their future medical practice: configurational analysis

G Wagner, L Raymond, G Paré - JMIR Medical Education, 2023 - mededu.jmir.org
Background Prospective physicians are expected to find artificial intelligence (AI) to be a key
technology in their future practice. This transformative change has caught the attention of …

[HTML][HTML] COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: a case study from Ecuador

K Chadaga, S Prabhu, V Bhat, N Sampathila… - SLAS technology, 2023 - Elsevier
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many
casualties worldwide. Immediate and precise screening of affected patients is critical for …

A case study in applying artificial intelligence-based named entity recognition to develop an automated ophthalmic disease registry

CZ Macri, SC Teoh, S Bacchi, I Tan, R Casson… - Graefe's Archive for …, 2023 - Springer
Purpose Advances in artificial intelligence (AI)-based named entity extraction (NER) have
improved the ability to extract diagnostic entities from unstructured, narrative, free-text data …

Effect of artificial intelligence course in nursing on students' medical artificial intelligence readiness: a comparative quasi-experimental study

N Taskiran - Nurse Educator, 2023 - journals.lww.com
Background: It is predicted that artificial intelligence (AI) will transform nursing across all
domains of nursing practice, including administration, clinical care, education, policy, and …