Research graph
References from A Pilot Study of Junior Medical Officers in Sydney, Australia: Knowledge and Attitudes Towards Artificial Intelligence. Local targets link to admitted publications; unresolved targets remain external evidence.
Artificial intelligence: a powerful paradigm for scientific research
10.1016/j.xinn.2021.100179 · 2021 · External reference
Pushing the boundaries of scientific research with the use of artificial intelligence tools: navigating risks and unleashing possibilities
10.3126/nje.v13i1.53721 · 2023 · External reference
Unresolved reference
External reference
Artificial intelligence in medicine: current trends and future possibilities
10.3399/bjgp18x695213 · 2018 · External reference
Artificial intelligence in medicine: where are we now?
10.1016/j.acra.2019.10.001 · 2020 · External reference
Unresolved reference
External reference
Effects of artificial intelligence implementation on efficiency in medical imaging-a systematic literature review and meta-analysis
10.1038/s41746-024-01248-9 · 2024 · External reference
AI as a tool, not a replacement, in vascular medicine
10.1177/1358863x251399581 · 2026 · External reference
Will AI replace physicians in the near future? AI adoption barriers in medicine
10.3390/diagnostics16030396 · 2026 · External reference
Awareness, perceptions, and opinions of artificial intelligence among undergraduate medical students at Umm Al-Qura University, Saudi Arabia, in 2025: a cross-sectional study
10.7759/cureus.89741 · 2025 · External reference
Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma
10.1002/14651858.cd013192 · 2018 · External reference
The use of smartphones by junior doctors
10.3402/meo.v20.28189 · 2015 · External reference
Healthcare workers’ informal uses of mobile devices to support their work: a qualitative evidence synthesis
10.1002/14651858.cd015705 · 2023 · External reference
Artificial intelligence in healthcare: a study of physician attitudes and perceptions in Jeddah, Saudi Arabia
10.7759/cureus.57256 · 2024 · External reference
Unresolved reference
External reference
Artificial Intelligence for Patient Flow: Emerging Health Technologies
2024 · External reference
Medical expectations of physicians on AI solutions in daily practice: cross-sectional survey study
10.2196/50803 · 2024 · External reference
Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden
10.1186/s12913-022-08215-8 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
The future is bright: artificial intelligence for trainee medical officers in Australia and New Zealand
10.1111/imj.16518 · 2024 · External reference
First do no harm: legal principles regulating the future of artificial intelligence in health care in South Africa
10.17159/1727-3781/2022/v25ia11118 · 2022 · External reference
Using artificial intelligence in patient care-some considerations for doctors and medical regulators
10.1007/s41649-024-00291-8 · 2024 · External reference
Ten reasons why—the case for more and better AI regulation
10.1007/s43681-025-00865-8 · 2026 · External reference
Impact of using an AI scribe on clinical documentation and clinician-patient interactions in allied health private practice: perspectives of clinicians and patients
10.1016/j.msksp.2025.103333 · 2025 · External reference
Clinician experiences with ambient scribe technology to assist with documentation burden and efficiency
10.1001/jamanetworkopen.2024.60637 · 2025 · External reference
Does artificial intelligence outperform natural intelligence in interpreting musculoskeletal radiological studies? A systematic review
10.1097/corr.0000000000001360 · 2020 · External reference
Benefits and risks of AI in health care: narrative review
10.2196/53616 · 2024 · External reference
Efficiency and quality of generative AI-assisted radiograph reporting
10.1001/jamanetworkopen.2025.13921 · 2025 · External reference
Evaluation of artificial intelligence techniques in disease diagnosis and prediction
10.1007/s44163-023-00049-5 · 2023 · External reference
COVID-DSNet: a novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and chest X-ray images
10.1016/j.artmed.2022.102427 · 2022 · External reference
Comparative performance of artificial intelligence and radiologists in detecting lung nodules and breast lesions on CT and MRI: a systematic review
10.7759/cureus.95943 · 2025 · External reference
Comparison between artificial intelligence solution and radiologist for the detection of pelvic, hip and extremity fractures on radiographs in adult using CT as standard of reference
10.1016/j.diii.2024.09.004 · 2025 · External reference
A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians
10.1038/s41746-025-01543-z · 2025 · External reference
Implementation of AI in radiology: the perspective of referring physicians
10.1186/s13244-025-02120-4 · 2025 · External reference
Health professionals' perspectives on the use of artificial intelligence in healthcare: a systematic review
10.1016/j.pec.2025.108680 · 2025 · External reference
AI in diagnostic imaging: revolutionising accuracy and efficiency
10.1016/j.cmpbup.2024.100146 · 2024 · External reference
The future of radiology: the path towards multimodal AI and superdiagnostics
10.1016/j.ejrai.2025.100014 · 2025 · External reference
Medical student experiences and perceptions of ChatGPT and artificial intelligence: cross-sectional study
10.2196/51302 · 2023 · External reference
Western Australian medical students' attitudes towards artificial intelligence in healthcare
10.1371/journal.pone.0290642 · 2023 · External reference
Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study
10.1186/s12909-022-03896-5 · 2022 · External reference
Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility
10.1186/s12909-025-06704-y · 2025 · External reference
Artificial intelligence in medical education: transforming learning and practice
10.7759/cureus.80852 · 2025 · External reference
Physicians’ attitudes toward artificial intelligence in medicine: mixed methods survey and interview study
10.2196/74187 · 2025 · External reference
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review
10.1016/s2589-7500(21)00132-1 · 2021 · External reference
Patients' views on the use of artificial intelligence in healthcare: Artificial Intelligence Survey Aachen (AISA)-a prospective survey
10.1186/s13244-025-02159-3 · 2026 · External reference
Multinational attitudes toward AI in health care and diagnostics among hospital patients
10.1001/jamanetworkopen.2025.14452 · 2025 · External reference