AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Radiology

Showing 371 to 380 of 773 articles

Clear Filters

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education.

European radiology
OBJECTIVES: Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a much-debated topic but have not been investigated in the community at large. Also, controversy exists if and to what extent AI should be incorporated ...

Artificial intelligence and machine learning for medical imaging: A technology review.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence of disruptive technical advances and impressive experimental results, notably in the field of image analysis and processing. In medicine, specialties where ima...

Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems.

Journal of medical systems
Ongoing research efforts have been examining how to utilize artificial intelligence technology to help healthcare consumers make sense of their clinical data, such as diagnostic radiology reports. How to promote the acceptance of such novel technolog...

Artificial intelligence in oncology: From bench to clinic.

Seminars in cancer biology
In the past few years, Artificial Intelligence (AI) techniques have been applied to almost every facet of oncology, from basic research to drug development and clinical care. In the clinical arena where AI has perhaps received the most attention, AI ...

2020 ACR Data Science Institute Artificial Intelligence Survey.

Journal of the American College of Radiology : JACR
PURPOSE: The ACR Data Science Institute conducted its first annual survey of ACR members to understand how radiologists are using artificial intelligence (AI) in clinical practice and to provide a baseline for monitoring trends in AI use over time.

Radiologists in the loop: the roles of radiologists in the development of AI applications.

European radiology
OBJECTIVES: To examine the various roles of radiologists in different steps of developing artificial intelligence (AI) applications.

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.

European radiology
OBJECTIVES: Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their scientific evidence.

Machine learning solutions in radiology: does the emperor have no clothes?

European radiology
• Interest in radiomics and machine learning is steadily increasing and is reflected both in research output and number of commercially available solutions.• Currently available commercial products using machine learning are often supported by limite...

Artificial intelligence development in pediatric body magnetic resonance imaging: best ideas to adapt from adults.

Pediatric radiology
Emerging manifestations of artificial intelligence (AI) have featured prominently in virtually all industries and facets of our lives. Within the radiology literature, AI has shown great promise in improving and augmenting radiologist workflow. In pe...