London Cancer
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in cancer imaging: Clinical challenges and applications
Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.
2019 · 1.780 Zit.
Bringing MRI to low‐ and middle‐income countries: Directions, challenges and potential solutions
Sanjana Murali, Hao Ding, Fope Adedeji et al.
2023 · 111 Zit.
Artificial intelligence and infectious disease diagnostics: state of the art and future perspectives
Luca Miglietta, Timothy M. Rawson, Ronald Galiwango et al.
2025 · 11 Zit.
The Impact of AI-driven Remote Patient Monitoring on Cancer Care: A Systematic Review
Faisal Aziz, Diletta Bianchini, David B. Olawade et al.
2025 · 10 Zit.
Outcomes of Vital Sign Monitoring of an Acute Surgical Cohort With Wearable Sensors and Digital Alerting Systems: A Pragmatically Designed Cohort Study and Propensity-Matched Analysis
Fahad Iqbal, Meera Joshi, Rosanna Fox et al.
2022 · 10 Zit.
Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England
Lauren Gatting, Syeda Ahmed, Priscilla Meccheri et al.
2024 · 9 Zit.
Harnessing the Electronic Health Care Record to Optimize Patient Safety in Primary Care: Framework for Evaluating e–Safety-Netting Tools
Georgia Black, Afsana Bhuiya, Claire Friedemann Smith et al.
2022 · 6 Zit.
Leveraging large language models for structured information extraction from pathology reports
Jeya Balaji Balasubramanian, Daniel E. Adams, Ioannis Roxanis et al.
2025 · 5 Zit.
Artificial Intelligence in Relation to Accurate Information and Tasks in Gynecologic Oncology and Clinical Medicine—Dunning–Kruger Effects and Ultracrepidarianism
Edward J. Pavlik, Jason Woodward, Frank Lawton et al.
2025 · 2 Zit.
247P Comparison of artificial intelligence based prediction models for immune checkpoint inhibitor related pneumonitis: A systematic review and meta-analysis of retrospective real-world cohort studies
Sonam Mittal, Indu Sharma, E. Peraj et al.
2025 · 0 Zit.
Abstract PD11-08: Time Implications of an Oncology Intelligence Platform vs Standard Practice: A UK Single Centre Breast Cancer Multi Disciplinary Team Meeting Simulation Trial
J. Tan, Lorna Cook, R. Williams et al.
2026 · 0 Zit.
Abstract PS3-04-19: Health Economic Evaluation of an Artificial Intelligence assisted Breast Cancer Multi Disciplinary Team Meeting/Tumour Board: Preliminary results from a UK Single Centre Simulation Trial
J. Tan, P. Garodia, R. Williams et al.
2026 · 0 Zit.
263P Diagnostic accuracy of artificial intelligence for early melanoma detection: A systematic review and meta analysis of clinical trials
Diego E. Marra, S. Dhebri, E. McKerill et al.
2025 · 0 Zit.
Acceptability of Automated Robotic Clinical Breast Examination: Survey Study (Preprint)
George P. Jenkinson, Natasha Houghton, Nejra Van Zalk et al.
2022 · 0 Zit.
Multimodal artificial intelligence (MMAI) model to identify benefit from 2nd-generation androgen receptor pathway inhibitors (ARPI) in high-risk non-metastatic prostate cancer patients from STAMPEDE.
Charles Thomas Parker, Vinnie YT Liu, Larissa Mendes et al.
2025 · 0 Zit.