AIMC Topic: Machine Learning

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PROSTATA: a framework for protein stability assessment using transformers.

Bioinformatics (Oxford, England)
MOTIVATION: Accurate prediction of change in protein stability due to point mutations is an attractive goal that remains unachieved. Despite the high interest in this area, little consideration has been given to the transformer architecture, which is...

Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound.

Investigative and clinical urology
PURPOSE: Hydronephrosis is a common pediatric urological condition, characterized by dilation of the renal collecting system. Accurate identification of the severity of hydronephrosis is crucial in clinical management, as high-grade hydronephrosis ca...

Machine learning models to predict surgical case duration compared to current industry standards: scoping review.

BJS open
BACKGROUND: Surgical waiting lists have risen dramatically across the UK as a result of the COVID-19 pandemic. The effective use of operating theatres by optimal scheduling could help mitigate this, but this requires accurate case duration prediction...

Deep Learning for Cardiovascular Imaging: A Review.

JAMA cardiology
IMPORTANCE: Artificial intelligence (AI), driven by advances in deep learning (DL), has the potential to reshape the field of cardiovascular imaging (CVI). While DL for CVI is still in its infancy, research is accelerating to aid in the acquisition, ...

Assessing Model Requirements for Explainable AI: A Template and Exemplary Case Study.

Artificial life
In sociotechnical settings, human operators are increasingly assisted by decision support systems. By employing such systems, important properties of sociotechnical systems, such as self-adaptation and self-optimization, are expected to improve furth...

Applications of artificial intelligence and machine learning in dynamic pathway engineering.

Biochemical Society transactions
Dynamic pathway engineering aims to build metabolic production systems embedded with intracellular control mechanisms for improved performance. These control systems enable host cells to self-regulate the temporal activity of a production pathway in ...

COVID-19 studies involving machine learning methods: A bibliometric study.

Medicine
BACKGROUND: Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity as effective tools for coronavirus disease of 2019 (COVID-19) research. These strategies can be used in diagnosis, prognosis, therapy, and public hea...

Explanation Relevance Index - A New Way of Assessing the Quality of Explanations Based on Learned Features.

Studies in health technology and informatics
The XAI methods began to emerge as a response for the black-box methods used to make decisions that could not be explained, even if checked by humans they were correct. This created the need for a better evaluation for these methods. In this paper we...