Call for papers - Intelligence-Based Critical Care Medicine and Anesthesiology
Submit papers here for a special issue of Intelligence-Based Medicine
Call for papers – Intelligence-Based Medicine (IBMED)
Submit papers here for a special issue on Intelligence-Based Cardiology
Insights from teaching AI to medical students
Medical students need to learn about appropriate applications of AI, but only very few health professional schools are offering sufficient tuition
Decoding artificial intelligence to achieve diagnostic excellence
If a clinician can better understand the underlying mechanisms of diagnostic AI, they can perhaps appreciate both their advantages and limitations
How do patients feel about AI in healthcare?
Little is known about how patients view the use of AI in healthcare and whether they have concerns. This study helps to understand public perceptions of the use of AI in diagnosis and treatment
The association of cardiovascular conditions with COVID-19 severity among pediatric patients
Children with a prior cardiac event are at increased risk of severe COVID-19 disease
Synthetic data in machine learning for medicine and healthcare
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy
Swarm learning for decentralized artificial intelligence in cancer histopathology
Histopathology images from patients with hematoxylin and eosin stained pathology slides of colorectal cancer were part of a swarm learning strategy
VIDEOS
Sudhen Desai – Radiology
Fascinating discussion with Sudhen Desai, MD, FSIR Internventional Radiologist, Texas Children’s Hospital
4 minutes
Chiranjiv Singh – Radiology
Informal interview with Chiranjiv Singh, Chief Commercial Officer, Qure AI
4 minutes
John Rumsfeld – Cardiology
Insightful chat with John Rumsfeld, Chief Innovation Officer and Professor of Medicine
4 minutes
Casey Culbertson – Cardiology
Enlightening conversation with Casey Culbertson MD, CV Medical Director, GE Healthcare
4 minutes
AI tool set to improve cancer survival rates
Addenbrooke’s Hospital in the UK will become the first in the world to use an AI tool to speed up cancer treatment
University of Pisa uses Intel Optane to reduce MRI scanning times
Testing indicates that Intel® Optane™ technology can reduce MRI scanning times from 40 minutes to 2 minutes
AIMed Global Summit 2022 Slides *(Batch 2)
Collection of slides that are available to download from the AIMed Global Summit 2022
AIMed Global Summit 2022 Slides *(Batch 1)
Collection of slides that are available to download from the AIMed Global Summit 2022