University Hospital Southampton NHS Foundation Trust

Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?

Nithesh Naik, B. M. Zeeshan Hameed, Dasharathraj K Shetty et al.

2022 · 840 Zit.

The role of data science in healthcare advancements: applications, benefits, and future prospects

S. V. Subrahmanya, Dasharathraj K Shetty, Vathsala Patil et al.

2021 · 216 Zit.

Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician

Anastasia A Theodosiou, Robert C. Read

2023 · 215 Zit.

Artificial intelligence (AI) in urology-Current use and future directions: An iTRUE study

Milap Shah, Nithesh Naik, Bhaskar Somani et al.

2020 · 125 Zit.

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Joseph Alderman, Joanne Palmer, Elinor Laws et al.

2024 · 105 Zit.

Awareness and Use of ChatGPT and Large Language Models: A Prospective Cross-sectional Global Survey in Urology

Michael Eppler, Conner Ganjavi, Lorenzo Storino Ramacciotti et al.

2023 · 99 Zit.

Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review

Robin Borchert, Tiago Azevedo, AmanPreet Badhwar et al.

2023 · 97 Zit.

Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence

Ali Talyshinskii, Nithesh Naik, B. M. Zeeshan Hameed et al.

2023 · 62 Zit.

A Systematic Review of Artificial Intelligence and Machine Learning Applications to Inflammatory Bowel Disease, with Practical Guidelines for Interpretation

Imogen S. Stafford, Mark Gosink, Enrico Mossotto et al.

2022 · 51 Zit.

Exploring the Ethical, Legal, and Social Implications of ChatGPT in Urology

Kinju Adhikari, Nithesh Naik, B. M. Zeeshan Hameed et al.

2023 · 42 Zit.

Breaking Barriers: Unveiling Factors Influencing the Adoption of Artificial Intelligence by Healthcare Providers

B. M. Zeeshan Hameed, Nithesh Naik, Sufyan Ibrahim et al.

2023 · 40 Zit.

Current state and prospects of artificial intelligence in allergy

Merlijn van Breugel, Rudolf S.N. Fehrmann, Marnix Bügel et al.

2023 · 38 Zit.

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England

Nathan R. Hill, Lara Groves, Carissa Dickerson et al.

2022 · 25 Zit.

Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors

Shengyu Lu, Nicholas R. Fuggle, Leo D. Westbury et al.

2022 · 22 Zit.

Artificial intelligence for diagnosis and prognosis in neuroimaging for dementia; a systematic review

Robin Borchert, Tiago Azevedo, AmanPreet Badhwar et al.

2021 · 17 Zit.