University of Liverpool
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Quality improvement report Improving design and conduct of randomised trials by embedding them in qualitative research: ProtecT (prostate testing for cancer and treatment) study Commentary: presenting unbiased information to patients can be difficult
Jenny Donovan, Paul Little, Nicola Mills et al.
2002 · 536 Zit.
Exploring students’ perspectives on Generative AI-assisted academic writing
Jinhee Kim, Seongryeong Yu, Rita Detrick et al.
2024 · 235 Zit.
ChatGPT and antimicrobial advice: the end of the consulting infection doctor?
Alex Howard, William Hope, Alessandro Gerada
2023 · 208 Zit.
Student perspectives on the use of generative artificial intelligence technologies in higher education
Heather Johnston, Rebecca Wells, Elizabeth M. Shanks et al.
2024 · 201 Zit.
Explainable artificial intelligence for mental health through transparency and interpretability for understandability
Dan W. Joyce, Andrey Kormilitzin, Katharine Smith et al.
2023 · 191 Zit.
Barriers to recruitment for surgical trials in head and neck oncology: a survey of trial investigators
Geetinder Kaur, Iain Hutchison, Hisham Mehanna et al.
2013 · 65 Zit.
Artificial Intelligence in Head and Neck Cancer: A Systematic Review of Systematic Reviews
Antti Mäkitie, Rasheed Omobolaji Alabi, Sweet Ping Ng et al.
2023 · 61 Zit.
IJCAI International Joint Conference on Artificial Intelligence
Davide Grossi, Sanjay Modgil
2015 · 61 Zit.
Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process
Caroline Gatrell, Daniel Muzio, Corinne Post et al.
2024 · 58 Zit.
Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?
Carol Lynn Curchoe, Jonas Malmsten, Charles L. Bormann et al.
2020 · 49 Zit.
Making decisions about radiological imaging in pregnancy
Rebecca Wiles, Beth Hankinson, Emily Benbow et al.
2022 · 49 Zit.
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review
Xiaoran Lu, Yang Chen, Lu Liang et al.
2024 · 45 Zit.
Industry 5.0 technology capabilities in Trauma and Orthopaedics
Karthikeyan P. Iyengar, Eindere Zaw, Janaranjan Jalli et al.
2022 · 44 Zit.
Toward an optimal use of artificial intelligence techniques within a clinical decision support system
Ahmed J. Aljaaf, Dhiya Al‐Jumeily, Abir Hussain et al.
2015 · 41 Zit.
Big Data analysis to improve care for people living with serious illness: The potential to use new emerging technology in palliative care
Amara Callistus Nwosu, Brendan Collins, Stephen Mason
2017 · 35 Zit.