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Ingham Institute

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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 · 198 Zit.

Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era

Sonu Bhaskar, Sian Bradley, Sateesh Sakhamuri et al.

2020 · 136 Zit.

Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework

Hang Min, Yousef Rabi, Ashish Wadhawan et al.

2023 · 26 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 · 15 Zit.

Artificial intelligence in medical imaging and radiation oncology: Opportunities and challenges

David Thwaites, Daniel Moses, Annette Haworth et al.

2021 · 11 Zit.

Using machine learning to predict cardiovascular risk using self-reported questionnaires: Findings from the 45 and Up Study

Hongkuan Wang, William Jewett Tucker, Jitendra Jonnagaddala et al.

2023 · 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.

Using natural language processing to extract information from clinical text in electronic medical records for populating clinical registries: a systematic review

Leibo Liu, Victoria Blake, Matthew Barman et al.

2025 · 5 Zit.

Incidental findings in brain imaging research: spotlight on ethical considerations

Sonu Bhaskar

2022 · 3 Zit.

Enhancing cardiovascular risk prediction in Asian populations: A machine learning approach integrated with digital health platforms

Sazzli Kasim, Putri Nur Fatin Amir Rudin, Xue Ning Kiew et al.

2025 · 2 Zit.

Novel artificial intelligence-based hypodensity detection tool improves clinician identification of hypodensity on non-contrast computed tomography in stroke patients

Angela Dos Santos, Milanka Visser, Longting Lin et al.

2024 · 1 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, Arya 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.