Artificial Intelligence in Medicine

JournalCitation impact & published research

Artificial Intelligence in Medicine is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 3,576 works, 122,057 citations, an h-index of 148 and an APC (USD) of 3,230.

3,576

Works

122,057

Citations

148

h-index

3,230

APC (USD)

IDs:OpenAlex

What are the most-cited papers on Artificial Intelligence in Medicine?

ScholarIQmost cited works

The coming of age of artificial intelligence in medicine

Vimla L. Patel, Edward H. Shortliffe, Mario Stefanelli, Peter Szolovits, Michael R. Berthold, Riccardo Bellazzi, Ameen Abu–Hanna

Artificial Intelligence in Medicine. 2008628 CitationsOPEN ACCESS

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

Rasheed Omobolaji Alabi, Omar Youssef, Matti Pirinen, Mohammed Elmusrati, Antti Mäkitie, Ilmo Leivo, Alhadi Almangush

Artificial Intelligence in Medicine. 2021175 CitationsOPEN ACCESS

Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

Luisa F. Sánchez‐Peralta, Luis Bote-Curiel, Artzai Picón, Francisco M. Sánchez‐Margallo, J. Blas Pagador

Artificial Intelligence in Medicine. 2020173 CitationsOPEN ACCESS

A fuzzy clustering based segmentation system as support to diagnosis in medical imaging

Francesco Masulli, Andrea Schenone

Artificial Intelligence in Medicine. 1999148 Citations

An intelligent learning approach for improving ECG signal classification and arrhythmia analysis

Arun Kumar Sangaiah, Maheswari Arumugam, Gui‐Bin Bian

Artificial Intelligence in Medicine. 2019141 Citations

Related on ScholarIQ

The coming of age of artificial intelligence in medicine

Paper

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

Paper

Deep learning to find colorectal polyps in colonoscopy: A systematic literature review

Paper

A fuzzy clustering based segmentation system as support to diagnosis in medical imaging

Paper

An intelligent learning approach for improving ECG signal classification and arrhythmia analysis

Paper

Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation

Paper