AIMC Topic: Artificial Intelligence

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Bringing Artificial Intelligence to the operating room: edge computing for real-time surgical phase recognition.

Surgical endoscopy
BACKGROUND: Automation of surgical phase recognition is a key effort toward the development of Computer Vision (CV) algorithms, for workflow optimization and video-based assessment. CV is a form of Artificial Intelligence (AI) that allows interpretat...

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective.

Computers in biology and medicine
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, such as skin, breast, and lung cancer. AI is an advanced form of technology that uses mathematical-based algorithmic principles similar to those of the ...

Chronic thromboembolic pulmonary hypertension: realising the potential of multimodal management.

The Lancet. Respiratory medicine
Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare complication of acute pulmonary embolism. Important advances have enabled better understanding, characterisation, and treatment of this condition. Guidelines recommending systematic foll...

Africa's readiness for artificial intelligence in clinical radiotherapy delivery: Medical physicists to lead the way.

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)
BACKGROUND: There have been several proposals by researchers for the introduction of Artificial Intelligence (AI) technology due to its promising role in radiotherapy practice. However, prior to the introduction of the technology, there are certain g...

Modeling new trends in bone regeneration, using the BERTopic approach.

Regenerative medicine
Bibliometric surveys are time-consuming endeavors, which cannot be scaled up to meet the challenges of ever-expanding fields, such as bone regeneration. Artificial intelligence, however, can provide smart tools to screen massive amounts of literatur...

Exposure to automation explains religious declines.

Proceedings of the National Academy of Sciences of the United States of America
The global decline of religiosity represents one of the most significant societal shifts in recent history. After millennia of near-universal religious identification, the world is experiencing a regionally uneven trend toward secularization. We prop...

Unraveling the Molecular Puzzle: Exploring Gene Networks across Diverse EMT Status of Cell Lines.

International journal of molecular sciences
Understanding complex disease mechanisms requires a comprehensive understanding of the gene regulatory networks, as complex diseases are often characterized by the dysregulation and dysfunction of molecular networks, rather than abnormalities in sing...

Artificial intelligence in diagnosing dens evaginatus on periapical radiography with limited data availability.

Scientific reports
This study aimed to develop an artificial intelligence (AI) model using deep learning techniques to diagnose dens evaginatus (DE) on periapical radiography (PA) and compare its performance with endodontist evaluations. In total, 402 PA images (138 DE...

Predicting congenital renal tract malformation genes using machine learning.

Scientific reports
Congenital renal tract malformations (RTMs) are the major cause of severe kidney failure in children. Studies to date have identified defined genetic causes for only a minority of human RTMs. While some RTMs may be caused by poorly defined environmen...

Ethical Challenges in AI Approaches to Eating Disorders.

Journal of medical Internet research
The use of artificial intelligence (AI) to assist with the prevention, identification, and management of eating disorders and body image concerns is exciting, but it is not without risk. Technology is advancing rapidly, and ensuring that responsible ...