AIMC Topic: Artificial Intelligence

Clear Filters Showing 10611 to 10620 of 26332 articles

Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units.

Jornal de pediatria
OBJECTIVE: To describe the challenges and perspectives of the automation of pain assessment in the Neonatal Intensive Care Unit.

Applying Machine Learning to the Visual Inspection of Filled Injectable Drug Products.

PDA journal of pharmaceutical science and technology
With machine learning (ML), we see the potential to better harness the intelligence and decision-making abilities of human inspectors performing manual visual inspection (MVI) and apply this to automated visual inspection (AVI) with the inherent impr...

A timeline of surgical lighting - Is automated lighting the future?

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
High quality surgical lighting is central to successful performance in the operating room and therefore to both patient care and treatment. This article discusses the origins of surgical lighting from the 1800s to today, with a focus on the four main...

The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks.

Environmental science & technology
Toxicological information as needed for risk assessments of chemical compounds is often sparse. Unfortunately, gathering new toxicological information experimentally often involves animal testing. Simulated alternatives, e.g., quantitative structure-...

FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Intensive care unit (ICU) physicians perform weaning procedures considering complex clinical situations and weaning protocols; however, liberating critical patients from mechanical ventilation (MV) remains challenging. Ther...

Artificial intelligence versus surgeon gestalt in predicting risk of emergency general surgery.

The journal of trauma and acute care surgery
BACKGROUND: Artificial intelligence (AI) risk prediction algorithms such as the smartphone-available Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) for emergency general surgery (EGS) are superior to traditional risk calculators because ...

A New Era in Cardiometabolic Management: Unlocking the Potential of Artificial Intelligence for Improved Patient Outcomes.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists