AIMC Topic: Humans

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CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification.

IEEE/ACM transactions on computational biology and bioinformatics
Feature selection (FS) is one of the fundamental data processing techniques in various machine learning algorithms, especially for classification of healthcare data. However, it is a challenging issue due to the large search space. Binary Particle Sw...

AlphaFold - A Personal Perspective on the Impact of Machine Learning.

Journal of molecular biology
I outline how over my career as a protein scientist Machine Learning has impacted my area of science and one of my pastimes, chess, where there are some interesting parallels. In 1968, modelling of three-dimensional structures was initiated based on ...

A long short-term memory-fully connected (LSTM-FC) neural network for predicting the incidence of bronchopneumonia in children.

Environmental science and pollution research international
Bronchopneumonia is the most common infectious disease in children, and it seriously endangers children's health. In this paper, a deep neural network combining long short-term memory (LSTM) layers and fully connected layers was proposed to predict t...

Automatic brain tumour diagnostic method based on a back propagation neural network and an extended set-membership filter.

Computer methods and programs in biomedicine
BACKGROUND: Diagnosing brain tumours remains a challenging task in clinical practice. Despite their questionable accuracy, magnetic resonance image (MRI) scans are presently considered the optimal facility for assessing the growth of tumours. However...

The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies.

International journal of medical informatics
This editorial aims to contribute to the current debate about the quality of studies that apply machine learning (ML) methodologies to medical data to extract value from them and provide clinicians with viable and useful tools supporting everyday car...

Automatic recognition of specific local cortical folding patterns.

NeuroImage
The study of local cortical folding patterns showed links with psychiatric illnesses as well as cognitive functions. Despite the tools now available to visualize cortical folds in 3D, manually classifying local sulcal patterns is a time-consuming and...

Transoral robotic removal of submandibular sialolith combined with sialendoscopic assistance.

European annals of otorhinolaryngology, head and neck diseases
Treatment of symptomatic impacted and palpable submandibular lithiasis generally involves a combined transoral and sialendoscopic approach with an excellent success rate, and a low morbidity. Nevertheless, the approach of proximal or hilar lithiasis ...

Artificial intelligence in early drug discovery enabling precision medicine.

Expert opinion on drug discovery
: Precision medicine is the concept of treating diseases based on environmental factors, lifestyles, and molecular profiles of patients. This approach has been found to increase success rates of clinical trials and accelerate drug approvals. However,...

Preclinical evaluation of a markerless, real-time, augmented reality guidance system for robot-assisted radical prostatectomy.

International journal of computer assisted radiology and surgery
PURPOSE: Intra-operative augmented reality (AR) during surgery can mitigate incomplete cancer removal by overlaying the anatomical boundaries extracted from medical imaging data onto the camera image. In this paper, we present the first such complete...