AIMC Topic: Artificial Intelligence

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Consensus priority research questions in gastrointestinal and endoscopic surgery in the year 2020: results of a SAGES Delphi study.

Surgical endoscopy
INTRODUCTION: The objectives of this study were to identify consensus priority research questions according to members of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), and to explore differences in priorities according to ...

Artificial intelligence for dermatopathology: Current trends and the road ahead.

Seminars in diagnostic pathology
Artificial intelligence (AI), including deep learning methods that leverage neural network-based algorithms, hold significant promise for dermatopathology and other areas of diagnostic pathology in research and clinical practice. There has been signi...

Fulfilling the Promise of Artificial Intelligence in the Health Sector: Let's Get Real.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
OBJECTIVES: This study aimed to showcase the potential and key concerns and risks of artificial intelligence (AI) in the health sector, illustrating its application with current examples, and to provide policy guidance for the development, assessment...

Prime Time for Artificial Intelligence in Interventional Radiology.

Cardiovascular and interventional radiology
Machine learning techniques, also known as artificial intelligence (AI), is about to dramatically change workflow and diagnostic capabilities in diagnostic radiology. The interest in AI in Interventional Radiology is rapidly gathering pace. With this...

A review on AI in PET imaging.

Annals of nuclear medicine
Artificial intelligence (AI) has been applied to various medical imaging tasks, such as computer-aided diagnosis. Specifically, deep learning techniques such as convolutional neural network (CNN) and generative adversarial network (GAN) have been ext...

The application of artificial intelligence in nuclear cardiology.

Annals of nuclear medicine
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated a lot of interest in medical imaging research including nuclear cardiology. AI has a potential to reduce cost, save time and improve image acquisition, interpretation...

Application of artificial intelligence in brain molecular imaging.

Annals of nuclear medicine
Initial development of artificial Intelligence (AI) and machine learning (ML) dates back to the mid-twentieth century. A growing awareness of the potential for AI, as well as increases in computational resources, research, and investment are rapidly ...

Artificial intelligence for nuclear medicine in oncology.

Annals of nuclear medicine
As in all other medical fields, artificial intelligence (AI) is increasingly being used in nuclear medicine for oncology. There are many articles that discuss AI from the viewpoint of nuclear medicine, but few focus on nuclear medicine from the viewp...

Deep Learning Neural Modelling as a Precise Method in the Assessment of the Chronological Age of Children and Adolescents Using Tooth and Bone Parameters.

Sensors (Basel, Switzerland)
Dental age is one of the most reliable methods for determining a patient's age. The timing of teething, the period of tooth replacement, or the degree of tooth attrition is an important diagnostic factor in the assessment of an individual's developme...