AIMC Topic: Artificial Intelligence

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Magnetic resonance imaging-based artificial intelligence model in rectal cancer.

World journal of gastroenterology
Rectal magnetic resonance imaging (MRI) is the preferred method for the diagnosis of rectal cancer as recommended by the guidelines. Rectal MRI can accurately evaluate the tumor location, tumor stage, invasion depth, extramural vascular invasion, and...

Revolutionizing enzyme engineering through artificial intelligence and machine learning.

Emerging topics in life sciences
The combinatorial space of an enzyme sequence has astronomical possibilities and exploring it with contemporary experimental techniques is arduous and often ineffective. Multi-target objectives such as concomitantly achieving improved selectivity, so...

Imaging Biomarkers of 1-Year Activity in Type 1 Macular Neovascularization.

Translational vision science & technology
PURPOSE: The purpose of this study was to evaluate the predictive value of optical coherence tomography (OCT) and OCT angiography (OCTA) parameters at baseline on lesion's activity at the 1-year follow-up in type 1 macular neovascularizations (MNVs) ...

Deep Learning in Kidney Ultrasound: Overview, Frontiers, and Challenges.

Advances in chronic kidney disease
Ultrasonography is a practical imaging technique used in numerous health care settings. It is relatively inexpensive, portable, and safe, and it has dynamic capabilities that make it an invaluable tool for a wide variety of diagnostic and interventio...

Use of Artificial Intelligence in Dentistry: Current Clinical Trends and Research Advances.

Journal (Canadian Dental Association)
The field of artificial intelligence (AI) has experienced spectacular development and growth over the past two decades. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding i...

A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology.

Seminars in nephrology
Digitalization in nephrology has progressed in a manner that is disparate and siloed, even though learning (under a broader Learning Health System initiative) has been manifested in all the main areas of clinical application. Most applications based ...

[Digital healthcare commons: artificial intelligence as a means of inclusion].

Soins; la revue de reference infirmiere
The progress made in the medical field thanks to artificial intelligence and its applications has developed doctors' knowledge and patients' knowledge of how to act. By giving a voice to all stakeholders in care, a commons of digital healthcare pract...

[Aid of artificial intelligence for the anatomo-pathological diagnosis of tumours].

Revue medicale de Liege
The anatomo-pathological diagnosis of tumors is based on many criteria related mainly to image analysis. Currently, in most pathology laboratories, tissues or cells are placed on glass slides and directly analyzed with an optical microscope. Because ...

[Concepts of medical imaging in the work up and follow-up of cancer : oncological imaging at a glance].

Revue medicale de Liege
Oncological imaging is a subspecialty of medical imaging and focuses on the workup and the follow-up of cancer. Oncological imaging takes into account all the specificities of cancer diseases, which is a constantly evolving field, especially in the e...