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Artificial Intelligence and the Future of Psychiatry: Insights from a Global Physician Survey
ConclusionsOur findings provide compelling insights into how physicians think about AI/ML which in turn may help us better integrate technology and reskill doctors to enhance mental health care. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 18, 2019 Category: Bioinformatics Source Type: research

Deep Supervised Learning with Mixture of Neural Networks
Publication date: Available online 18 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Yaxian Hu, Senlin Luo, Longfei Han, Limin Pan, Tiemei ZhangAbstractDeep Neural Network (DNN), as a deep architectures, has shown excellent performance in classification tasks. However, when the data has different distributions or contains some latent non-observed factors, it is difficult for DNN to train a single model to perform well on the classification tasks. In this paper, we propose mixture model based on DNNs (MoNNs), a supervised approach to perform classification tasks with a gating network and multiple local e...
Source: Artificial Intelligence in Medicine - November 18, 2019 Category: Bioinformatics Source Type: research

State recognition of decompressive laminectomy with multiple information in robot-assisted surgery
Publication date: Available online 16 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Yu Sun, Li Wang, Zhongliang Jiang, Bing Li, Ying Hu, Wei TianAbstractThe decompressive laminectomy is a common operation for treatment of lumbar spinal stenosis. The tools for grinding and drilling are used for fenestration and internal fixation, respectively. The state recognition is one of the main technologies in robot-assisted surgery, especially in tele-surgery, because surgeons have limited perception during remote-controlled robot-assisted surgery. The novelty of this paper is that a state recognition system is p...
Source: Artificial Intelligence in Medicine - November 18, 2019 Category: Bioinformatics Source Type: research

Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning
This study aims to predict fetal weight at varying gestational age in the absence of ultrasound examination within a certain accuracy. We consider that machine learning can provide an accurate estimation for obstetricians alongside traditional clinical practices, as well as an efficient and effective support tool for pregnant women for self-monitoring. We present a robust methodology using a data set comprising 4,212 intrapartum recordings. The cubic spline function is used to fit the curves of several key characteristics that are extracted from ultrasound reports. A number of simple and powerful machine learning algorithm...
Source: Artificial Intelligence in Medicine - November 18, 2019 Category: Bioinformatics Source Type: research

Multi-objective evolutionary design of antibiotic treatments
This article combines a recent mathematical model of bacterial growth including both susceptible and resistant bacteria, with a multi-objective evolutionary algorithm in order to automatically design successful antibiotic treatments. We consider alternative formulations combining relevant objectives and constraints. Our approach obtains shorter treatments, with improved success rates and smaller amounts of drug than the standard practice of administering daily fixed doses. These new treatments consistently involve a higher initial dose followed by lower tapered doses. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 18, 2019 Category: Bioinformatics Source Type: research

Clinical Decision Support Systems for Triage in the Emergency Department using Intelligent Systems: a Review
ConclusionsIn the papers where CDSS were validated in the ED, the authors found that there was an improvement in the health professionals’ decision-making thereby leading to better clinical management and patients’ outcomes. However, we found that more than half of the studies lacked this implementation phase. We concluded that for these studies, it is necessary to validate the CDSS and to define key performance measures in order to demonstrate the extent to which incorporation of CDSS at triage can actually improve care. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - November 18, 2019 Category: Bioinformatics Source Type: research

A modular cluster based collaborative recommender system for cardiac patients
Publication date: Available online 16 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Anam Mustaqeem, Syed Muhammad Anwar, Muhammad MajidAbstractIn the last few years, hospitals have been collecting a large amount of health related digital data for patients. This includes clinical test reports, treatment updates and disease diagnosis. The information extracted from this data is used for clinical decisions and treatment recommendations. Among health recommender systems, collaborative filtering technique has gained a significant success. However, traditional collaborative filtering algorithms are facing ch...
Source: Artificial Intelligence in Medicine - November 16, 2019 Category: Bioinformatics Source Type: research

A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy
ConclusionWe show that with the decision process proposed, the physician is able to select the best combined therapy according to different criteria such as maximum efficacy, activity and minimum toxicity. A method for the recommendation of combined antibiotic therapy developed on the basis of a multi-objective optimization model may assist the physicians in the search for alternatives to the use of broad-spectrum antibiotics or restricted antibiotics for empirical therapy. The decision proposed can be easily reproduced for any local epidemiology and any different clinical settings.Graphical abstract (Source: Artificial In...
Source: Artificial Intelligence in Medicine - November 13, 2019 Category: Bioinformatics Source Type: research

A multi-context CNN ensemble for small lesion detection
Publication date: Available online 13 November 2019Source: Artificial Intelligence in MedicineAuthor(s): B. Savelli, A. Bria, M. Molinara, C. Marrocco, F. TortorellaAbstractIn this paper, we propose a novel method for the detection of small lesions in digital medical images. Our approach is based on a multi-context ensemble of convolutional neural networks (CNNs), aiming at learning different levels of image spatial context and improving detection performance. The main innovation behind the proposed method is the use of multiple-depth CNNs, individually trained on image patches of different dimensions and then combined tog...
Source: Artificial Intelligence in Medicine - November 13, 2019 Category: Bioinformatics Source Type: research

Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
Publication date: Available online 13 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Ivan Lorencin, Nikola Anđelić, Josip Španjol, Zlatan CarAbstractIn this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate the implementation possibility of a simpler method (Multi-Layer Perceptron) alongside commonly used methods, such as Deep Learning Convolutional Neural Networks, for the urinary bladder cancer detection. The dataset used for this research consisted of 1997 images of bladder ...
Source: Artificial Intelligence in Medicine - November 13, 2019 Category: Bioinformatics Source Type: research

Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods
Publication date: Available online 13 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Sofia Zahia, Maria Begoña Garcia Zapirain, Xavier Sevillano, Alejandro González, Paul J. Kim, Adel ElmaghrabyAbstractPressure injuries represent a tremendous healthcare challenge in many nations. Elderly and disabled people are the most affected by this fast growing disease. Hence, an accurate diagnosis of pressure injuries is paramount for efficient treatment. The characteristics of these wounds are crucial indicators for the progress of the healing. While invasive methods to retrieve information are not only painful...
Source: Artificial Intelligence in Medicine - November 13, 2019 Category: Bioinformatics Source Type: research

Motor imagery EEG recognition with KNN-based smooth auto-encoder
Publication date: Available online 11 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Xianlun Tang, Ting Wang, Yiming Du, Yuyan DaiAbstractAs new human-computer interaction technology, brain-computer interface has been widely used in various fields of life. The study of EEG signals can not only improve people's awareness of the brain, but also establish new ways for the brain to communicate with the outside world. This paper takes the motion imaging EEG signal as the research object and proposes an innovative semi-supervised model called KNN-based smooth auto-encoder (k-SAE). K-SAE looks for the nearest ...
Source: Artificial Intelligence in Medicine - November 12, 2019 Category: Bioinformatics Source Type: research

A Novel Chinese Herbal Medicine Clustering Algorithm Via Artificial Bee Colony Optimization
Publication date: Available online 10 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Nan Han, Shaojie Qiao, Guan Yuan, Ping Huang, Dingxiang Liu, Kun YueAbstractTraditional Chinese medicine (TCM) has become popular and been viewed as an effective clinical treatment across the world. Accordingly, there is an ever-increasing interest in performing data analysis over TCM data. Aiming to cope with the problem of excessively depending on empirical values when selecting cluster centers by traditional clustering algorithms, an improved artificial bee colony algorithm is proposed by which to automatically selec...
Source: Artificial Intelligence in Medicine - November 12, 2019 Category: Bioinformatics Source Type: research

Optimized artificial neural network based performance analysis of wheelchair movement for ALS patients
Publication date: Available online 9 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Kai Li, S. Ramkumar, J. Thimmiaraja, S. DiwakaranAbstractIndividuals with neurodegenerative attacks loose the entire motor neuron movements. These conditions affect the individual actions like walking, speaking impairment and totally make the person in to locked in state (LIS). To overcome the miserable condition the person need rehabilitation devices through a Brain Computer Interfaces (BCI) to satisfy their needs. BMI using Electroencephalogram (EEG) receives the mental thoughts from brain and converts into control sig...
Source: Artificial Intelligence in Medicine - November 10, 2019 Category: Bioinformatics Source Type: research

A Predictive Analytics Framework for Identifying Patients at Risk of Developing Multiple Medical Complications Caused by Chronic Diseases
Publication date: Available online 9 November 2019Source: Artificial Intelligence in MedicineAuthor(s): Amir Talaei-Khoei, Madjid Tavana, James M. WilsonAbstractChronic diseases often cause several medical complications. This paper aims to predict multiple complications among patients with a chronic disease. The literature uses single-task learning algorithms to predict complications independently and assumes no correlation among complications of chronic diseases. We propose two methods (independent prediction of complications with single-task learning and concurrent prediction of complications with multi-task learning) an...
Source: Artificial Intelligence in Medicine - November 10, 2019 Category: Bioinformatics Source Type: research