PICO Portalanswers from OpenAlex
Artificial Intelligence in Medicine
JournalCitation impact & published research
Artificial Intelligence in Medicine is a journal indexed in PICO Portal from OpenAlex.
How many works does Artificial Intelligence in Medicine have?
PICO Portalindexed works
Artificial Intelligence in Medicine has 3,576 works in the PICO Portal index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Artificial Intelligence in Medicine have?
PICO Portalcitation count
Artificial Intelligence in Medicine has 122,057 citations in the OpenAlex counts PICO Portal stores.
What is the h-index of Artificial Intelligence in Medicine?
PICO Portalh-index
Artificial Intelligence in Medicine has an h-index of 148 in OpenAlex.
What is the article processing charge of Artificial Intelligence in Medicine?
PICO Portalarticle processing charge
Artificial Intelligence in Medicine lists an article processing charge of 3,230 USD in OpenAlex.
What is the OpenAlex record for Artificial Intelligence in Medicine?
PICO Portalopenalex
The OpenAlex for Artificial Intelligence in Medicine is on the source record.
What are the most-cited papers on Artificial Intelligence in Medicine?
PICO Portalmost 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
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
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
A fuzzy clustering based segmentation system as support to diagnosis in medical imaging
Francesco Masulli, Andrea Schenone
An intelligent learning approach for improving ECG signal classification and arrhythmia analysis
Arun Kumar Sangaiah, Maheswari Arumugam, Gui‐Bin Bian