Ingham Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges
Harshana Liyanage, Siaw‐Teng Liaw, Jitendra Jonnagaddala et al.
2019 · 195 Zit.
Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era
Sonu Bhaskar, Sian Bradley, Sateesh Sakhamuri et al.
2020 · 131 Zit.
Plagiarism in nursing education: an integrative review
Joan Lynch, Bronwyn Everett, Lucie M. Ramjan et al.
2016 · 50 Zit.
Adapting automated treatment planning configurations across international centres for prostate radiotherapy
Dale Roach, G. Wortel, Cesar E. Ochoa et al.
2019 · 15 Zit.
Machine learning, advanced data analysis, and a role in pregnancy care? How can we help improve preeclampsia outcomes?
Annemarie Hennessy, Tu Hao Tran, Suraj Narayanan Sasikumar et al.
2024 · 14 Zit.
Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges
David Thwaites, Daniel Moses, Annette Haworth et al.
2021 · 11 Zit.
Curious thing, an artificial intelligence (AI)-based conversational agent for COVID-19 patient management
Josephine Chow, Victoria Blight, Marian Brown et al.
2023 · 9 Zit.
Artificial intelligence (AI) will enable improved diagnosis and treatment outcomes
Lois Holloway, Eva Bezak, Clive Baldock
2021 · 5 Zit.
Incidental findings in brain imaging research: spotlight on ethical considerations
Sonu Bhaskar
2022 · 3 Zit.
P1254 CCCare: A clinician-led, people-centric model for scalable data-driven Improvement in Inflammatory Bowel Disease care
B Petch, D Carter, S J Connor et al.
2026 · 0 Zit.
Semantic Convergence with LLMs for Head and Neck Cancer Quality Indicators
Georgina Kennedy, Marnie Harris, A. Shinde et al.
2025 · 0 Zit.
Artificial intelligence in supporting non-dental workers to integrate oral health into primary care: An integrative review
Md. Nazmul Huda, Dileep Sharma, Sarbin Ranjitkar et al.
2025 · 0 Zit.
Performance Evaluation of Large Language Models With Retrieval-Augmented Generation in Cardiology Specialist Examinations in Japan
Hiromasa Hayama, Tu Hao Tran, Jin Kirigaya et al.
2025 · 0 Zit.