ScholarIQanswers from OpenAlex
Artificial Intelligence in Healthcare and Education
TopicLeading institutions, researchers & key papers
Artificial Intelligence in Healthcare and Education is a topic indexed in ScholarIQ from OpenAlex.
What is known about Artificial Intelligence in Healthcare and Education?
ScholarIQrecord summary
This cluster of papers explores the intersection of artificial intelligence and medicine, focusing on applications in healthcare, medical imaging, clinical decision support, and the ethical challenges associated with AI implementation. It delves into topics such as machine learning, big data, precision medicine, and the potential impact of AI on health equity.
How many works does Artificial Intelligence in Healthcare and Education have?
ScholarIQindexed works
Artificial Intelligence in Healthcare and Education has 509 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Artificial Intelligence in Healthcare and Education?
ScholarIQopenalex
The OpenAlex for Artificial Intelligence in Healthcare and Education is on the source record.
What are the most-cited papers on Artificial Intelligence in Healthcare and Education?
ScholarIQmost cited works
Artificial intelligence in healthcare: past, present and future
Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Yilong Wang, Qiang Dong, Haipeng Shen, Yongjun Wang, Yongjun Wang
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Emma Slade, Anand Jeyaraj, Arpan Kumar Kar, Abdullah M. Baabdullah, Alex Koohang, Vishnupriya Raghavan, Manju Ahuja, Hanaa Albanna, Mousa Ahmad Albashrawi, Adil S. Al-Busaidi, Janarthanan Balakrishnan, Yves Barlette, Sriparna Basu, Indranil Bose, Laurence Brooks, Dimitrios Buhalis, Lemuria Carter, Soumyadeb Chowdhury, Tom Crick, Scott W. Cunningham, Gareth H. Davies, Robert M. Davison, Rahul Dé, Denis Dennehy, Yanqing Duan, Rameshwar Dubey, Rohita Dwivedi, John S. Edwards, Carlos Flavián, Robin Gauld, Varun Grover, Mei‐Chih Hu, Marijn Janssen, Paul Jones, Iris Junglas, Sangeeta Khorana, Sascha Kraus, Kai R. Larsen, Paul Latreille, Sven Laumer, Tegwen Malik, Abbas Mardani, Marcello Mariani, Sunil Mithas, Emmanuel Mogaji, Jeretta Horn Nord, Siobhán O’Connor, Fevzi Okumus, Margherita Pagani, Neeraj Pandey, Savvas Papagiannidis, Ilias O. Pappas, Nishith Pathak, Jan Pries‐Heje, Ramakrishnan Raman, Nripendra P. Rana, Sven‐Volker Rehm, Samuel Ribeiro‐Navarrete, Alexander Richter, Frantz Rowe, Suprateek Sarker, Bernd Carsten Stahl, Manoj Tiwari, Wil van der Aalst, Viswanath Venkatesh, Giampaolo Viglia, Michael Wade, Paul Walton, Jochen Wirtz, Ryan Wright
<p>Taiwan’s National Health Insurance Research Database: past and future</p>
Cheng‐Yang Hsieh, Chien‐Chou Su, Shih‐Chieh Shao, Sheng‐Feng Sung, Swu‐Jane Lin, Yea‐Huei Kao Yang, Edward Chia‐Cheng Lai
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
Xiaoxuan Liu, Samantha Cruz Rivera, David Moher, Melanie Calvert, Alastair K. Denniston, The SPIRIT-AI and CONSORT-AI Working Group, SPIRIT-AI and CONSORT-AI Steering Group, An-Wen Chan, Ara Darzi, Christopher Holmes, Christopher Yau, Hutan Ashrafian, Jonathan J Deeks, Lavinia Ferrante di Ruffano, Livia Faes, Pearse A. Keane, Sebastian J. Vollmer, SPIRIT-AI and CONSORT-AI Consensus Group, Aaron Lee, Adrian Jonas, Andre Esteva, Andrew L. Beam, An-Wen Chan, Maria Beatrice Panico, Cecilia S. Lee, Charlotte Haug, Christopher Kelly, Christopher Yau, Cynthia D. Mulrow, Cyrus Espinoza, John Fletcher, Dina N. Paltoo, Elaine Manna, Gary Price, Professor Gary S. Collins, Hugh Harvey, James Matcham, João Monteiro, M. Khair ElZarrad, Lavinia Ferrante di Ruffano, Luke Oakden‐Rayner, Melissa D. McCradden, Pearse A. Keane, Richard S. Savage, Robert Golub, Rupa Sarkar, Samuel Rowley
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel Shu Wei Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, Ara Darzi
Where is Artificial Intelligence in Healthcare and Education research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Artificial Intelligence in Healthcare and Education is open access?
ScholarIQopen access share
87%OPEN ACCESS