AIMC Topic: Humans

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Hospital mortality prediction in traumatic injuries patients: comparing different SMOTE-based machine learning algorithms.

BMC medical research methodology
BACKGROUND: Trauma is one of the most critical public health issues worldwide, leading to death and disability and influencing all age groups. Therefore, there is great interest in models for predicting mortality in trauma patients admitted to the IC...

Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit.

BMC neurology
INTRODUCTION: Digital twins, a form of artificial intelligence, are virtual representations of the physical world. In the past 20 years, digital twins have been utilized to track wind turbines' operations, monitor spacecraft's status, and even create...

High performance for bone age estimation with an artificial intelligence solution.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to compare the performance of an artificial intelligence (AI) solution to that of a senior general radiologist for bone age assessment.

Machine Learning Analysis of Physical Activity Data to Classify Postural Dysfunction.

The Laryngoscope
BACKGROUND: Machine learning (ML) analysis of biometric data in non-controlled environments is underexplored.

Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.

International journal of computer assisted radiology and surgery
PURPOSE: Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal non-Hodgkin lymphoma. To predict the overall survival (OS) in advance is of utmost importance as it has the potential to aid clinical decision-making. T...

Artificial Intelligence in Cardiology: Applications and Obstacles.

Current problems in cardiology
Artificial intelligence (AI) technology is poised to alter the flow of daily life, and in particular, medicine, where it may eventually complement the physician's work in diagnosing and treating disease. Despite the recent frenzy and uptick in AI res...

Artificial Intelligence in Point-of-Care Testing.

Annals of laboratory medicine
With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability o...

Machine Learning Model for Assessment of Risk Factors and Postoperative Day for Superficial vs Deep/Organ-Space Surgical Site Infections.

Surgical innovation
Deep and organ space surgical site infections (SSI) require more intensive treatment, may result in more severe clinical disease and may have different risk factors when compared to superficial SSIs. Machine learning (ML) algorithms provide the oppo...

Explainable hybrid word representations for sentiment analysis of financial news.

Neural networks : the official journal of the International Neural Network Society
Due to the increasing interest of people in the stock and financial market, the sentiment analysis of news and texts related to the sector is of utmost importance. This helps the potential investors in deciding what company to invest in and what are ...

Robotic total mesorectal excision using Versius surgical system - A Video Vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland