abstract：BACKGROUND:Motor vehicle accidents (MVA) represent a significant burden on health systems globally. Tens of thousands of people are injured in Australia every year and may experience significant disability. Associated economic costs are substantial. There is little literature on the health service utilization patterns ...

journal_title：Artificial intelligence in medicine

authors： Esmaili N,Buchlak QD,Piccardi M,Kruger B,Girosi F

更新日期：2021-01-01 00:00:00

abstract：:According to functional or anatomical modalities, medical imaging provides a visual representation of complex structures or activities in the human body. One of the most common processing methods applied to those images is segmentation, in which an image is divided into a set of regions of interest. Human anatomical c...

journal_title：Artificial intelligence in medicine

authors： Bennai MT,Guessoum Z,Mazouzi S,Cormier S,Mezghiche M

更新日期：2020-11-01 00:00:00

abstract：:In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal for supporting many virtual care services-such as tailoring educational content towards an individual's current location, and, hence, current stage in an acute care process; improving activity recognition for supportin...

journal_title：Artificial intelligence in medicine

authors： Van Woensel W,Roy PC,Abidi SSR,Abidi SR

更新日期：2020-08-01 00:00:00

abstract：:Deregulated splicing machinery components have shown to be associated with the development of several types of cancer and, therefore, the determination of such alterations can help the development of tumor-specific molecular targets for early prognosis and therapy. Determining such splicing components, however, is not...

journal_title：Artificial intelligence in medicine

authors： Reyes O,Pérez E,Luque RM,Castaño J,Ventura S

更新日期：2020-08-01 00:00:00

abstract：:Computer-aided detection (CADe) systems play a crucial role in pulmonary nodule detection via chest radiographs (CXRs). A two-stage CADe scheme usually includes nodule candidate detection and false positive reduction. A pure deep learning model, such as faster region convolutional neural network (faster R-CNN), has be...

journal_title：Artificial intelligence in medicine

authors： Chen S,Han Y,Lin J,Zhao X,Kong P

更新日期：2020-07-01 00:00:00

abstract：:Manual delineation of vestibular schwannoma (VS) by magnetic resonance (MR) imaging is required for diagnosis, radiosurgery dose planning, and follow-up tumor volume measurement. A rapid and objective automatic segmentation method is required, but problems have been encountered due to the low through-plane resolution ...

journal_title：Artificial intelligence in medicine

authors： Lee WK,Wu CC,Lee CC,Lu CF,Yang HC,Huang TH,Lin CY,Chung WY,Wang PS,Wu HM,Guo WY,Wu YT

更新日期：2020-07-01 00:00:00

abstract：:Electronic medical records (EMRs) contain a wealth of knowledge that can be used to assist doctors in making clinical decisions like disease diagnosis. Constructing a medical knowledge network (MKN) to link medical concepts in EMRs is an effective way to manage this knowledge. The quality of the diagnostic result made...

journal_title：Artificial intelligence in medicine

authors： Xie J,Jiang J,Wang Y,Guan Y,Guo X

更新日期：2020-07-01 00:00:00

abstract：:Automatic arrhythmia detection based on electrocardiogram (ECG) is of great significance for early prevention and diagnosis of cardiac diseases. Recently, deep learning methods have been applied to arrhythmia detection and obtained great success. Among them, convolutional neural network (CNN) is an effective method fo...

journal_title：Artificial intelligence in medicine

authors： Zhang J,Liu A,Gao M,Chen X,Zhang X,Chen X

更新日期：2020-06-01 00:00:00

abstract：:The increasing access to brain signal data using electroencephalography creates new opportunities to study electrophysiological brain activity and perform ambulatory diagnoses of neurological disorders. This work proposes a pairwise distance learning approach for schizophrenia classification relying on the spectral pr...

journal_title：Artificial intelligence in medicine

authors： Calhas D,Romero E,Henriques R

更新日期：2020-05-01 00:00:00

abstract：:Knowledge discovery from omics data has become a common goal of current approaches to personalised cancer medicine and understanding cancer genotype and phenotype. However, high-throughput biomedical datasets are characterised by high dimensionality and relatively small sample sizes with small signal-to-noise ratios. ...

journal_title：Artificial intelligence in medicine

authors： Alzubaidi A,Tepper J,Lotfi A

更新日期：2020-04-01 00:00:00

abstract：:Multichannel transcranial magnetic stimulation (mTMS) is a therapeutic method to improve psychiatric diseases, which has a flexible working pattern used to different applications. In order to make the electric field distribution in the brain meet the treatment expectations, we have developed a novel multi-swam particl...

journal_title：Artificial intelligence in medicine

authors： Xiong H,Qiu B,Liu J

更新日期：2020-04-01 00:00:00

abstract：:As a crucial step of biological event extraction, event trigger identification has attracted much attention in recent years. Deep representation methods, which have the superiorities of less feature engineering and end-to-end training, show better performance than statistical methods. While most deep learning methods ...

journal_title：Artificial intelligence in medicine

authors： Zhang J,Liu M,Zhang Y

更新日期：2020-03-01 00:00:00

abstract：:Over the years, there has been growing interest in using machine learning techniques for biomedical data processing. When tackling these tasks, one needs to bear in mind that biomedical data depends on a variety of characteristics, such as demographic aspects (age, gender, etc.) or the acquisition technology, which mi...

journal_title：Artificial intelligence in medicine

authors： Ferrari E,Retico A,Bacciu D

更新日期：2020-03-01 00:00:00

abstract：AIM:A new automatic method for detecting specific points and lines (straight and curves) in dental panoramic radiographies (orthopantomographies) is proposed, where the human knowledge is mapped to the automatic system. The goal is to compute relevant mandibular indices (Mandibular Cortical Width, Panoramic Mandibular ...

journal_title：Artificial intelligence in medicine

authors： Aliaga I,Vera V,Vera M,García E,Pedrera M,Pajares G

更新日期：2020-03-01 00:00:00

abstract：BACKGROUND:The current situation of critical progression in resistance to more effective antibiotics has forced the reuse of old highly toxic antibiotics and, for several reasons, the extension of the indications of combined antibiotic therapy as alternative options to broad spectrum empirical mono-therapy. A key aspec...

journal_title：Artificial intelligence in medicine

authors： Campos M,Jimenez F,Sanchez G,Juarez JM,Morales A,Canovas-Segura B,Palacios F

更新日期：2020-01-01 00:00:00

abstract：:The 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 h...

journal_title：Artificial intelligence in medicine

authors： Sun Y,Wang L,Jiang Z,Li B,Hu Y,Tian W

更新日期：2020-01-01 00:00:00

abstract：:Pressure 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 progr...

journal_title：Artificial intelligence in medicine

authors： Zahia S,Garcia Zapirain MB,Sevillano X,González A,Kim PJ,Elmaghraby A

更新日期：2020-01-01 00:00:00

abstract：MOTIVATIONS:It has recently been argued [1] that the effectiveness of a cure depends on the doctor-patient shared understanding of an illness and its treatment. Although a better communication between doctor and patient can be pursued through dedicated training programs, or by collecting patients' experiences and sympt...

journal_title：Artificial intelligence in medicine

authors： Lenzi A,Maranghi M,Stilo G,Velardi P

更新日期：2019-11-01 00:00:00

abstract：:Artificial intelligence (AI) will pave the way to a new era in medicine. However, currently available AI systems do not interact with a patient, e.g., for anamnesis, and thus are only used by the physicians for predictions in diagnosis or prognosis. However, these systems are widely used, e.g., in diabetes or cancer p...

journal_title：Artificial intelligence in medicine

authors： Spänig S,Emberger-Klein A,Sowa JP,Canbay A,Menrad K,Heider D

更新日期：2019-09-01 00:00:00

abstract：:The automated analysis of retinal images is a widely researched area which can help to diagnose several diseases like diabetic retinopathy in early stages of the disease. More specifically, separation of vessels and lesions is very critical as features of these structures are directly related to the diagnosis and trea...

journal_title：Artificial intelligence in medicine

authors： Javidi M,Harati A,Pourreza H

更新日期：2019-08-01 00:00:00

abstract：OBJECTIVES:The objective of this study is to devise a modelling strategy for attaining in-silico models replicating human physiology and, in particular, the activity of the autonomic nervous system. METHOD:Discrete Multiphysics (a multiphysics modelling technique) and Reinforcement Learning (a Machine Learning algorit...

journal_title：Artificial intelligence in medicine

authors： Alexiadis A

更新日期：2019-07-01 00:00:00

abstract：:The advent of cardiovascular diseases as a disease of mass catastrophy, in recent years is alarming. It is expected to spread as an epidemic by 2030. Present methods of determining the health of one's heart include doppler based echocardiogram, MDCT (Multi Detector Computed Tomography), among various other invasive an...

journal_title：Artificial intelligence in medicine

authors： Ghosh S,Chattopadhyay BP,Roy RM,Mukherjee J,Mahadevappa M

更新日期：2019-05-01 00:00:00

abstract：:This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile robots as active players in the therapy of children with autism spectrum disorders (ASD). While a significant volume of work has explored the impact of robots in ASD therapy, most such work comprises remotely operated ...

journal_title：Artificial intelligence in medicine

authors： Melo FS,Sardinha A,Belo D,Couto M,Faria M,Farias A,Gambôa H,Jesus C,Kinarullathil M,Lima P,Luz L,Mateus A,Melo I,Moreno P,Osório D,Paiva A,Pimentel J,Rodrigues J,Sequeira P,Solera-Ureña R,Vasco M,Veloso M,Vent

更新日期：2019-05-01 00:00:00

abstract：BACKGROUND:Patients who are readmitted to an intensive care unit (ICU) usually have a high risk of mortality and an increased length of stay. ICU readmission risk prediction may help physicians to re-evaluate the patient's physical conditions before patients are discharged and avoid preventable readmissions. ICU readmi...

journal_title：Artificial intelligence in medicine

authors： Xue Y,Klabjan D,Luo Y

更新日期：2019-04-01 00:00:00

abstract：:A capsule endoscopy examination of the human small bowel generates a large number of images that have high similarity. In order to reduce the time it takes to review the high similarity images, clinicians will increase the playback speed, typically to 15 frames per second [1]. Associated with this behaviour is an incr...

journal_title：Artificial intelligence in medicine

authors： Al-Shebani Q,Premaratne P,McAndrew DJ,Vial PJ,Abey S

更新日期：2019-03-01 00:00:00

abstract：OBJECTIVE:Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules process data from individual patients. The specification of Arden Syntax, however, would in principle also support multi-patient CDS. The patient data management system (PDMS) at our local intensive care units does not native...

journal_title：Artificial intelligence in medicine

authors： Kraus S,Drescher C,Sedlmayr M,Castellanos I,Prokosch HU,Toddenroth D

更新日期：2018-11-01 00:00:00

abstract：OBJECTIVE:Arden Syntax is a standard for representing and sharing medical knowledge in form of independent modules and looks back on a history of 25 years. Its traditional field of application is the monitoring of clinical events such as generating an alert in case of occurrence of a critical laboratory result. Arden S...

journal_title：Artificial intelligence in medicine

authors： Kraus S,Enders M,Prokosch HU,Castellanos I,Lenz R,Sedlmayr M

更新日期：2018-11-01 00:00:00

abstract：BACKGROUND:The Arden Syntax is a knowledge-encoding standard, started in 1989, and now in its 10th revision, maintained by the health level seven (HL7) organization. It has constructs borrowed from several language concepts that were available at that time (mainly the HELP hospital information system and the Regenstrie...

journal_title：Artificial intelligence in medicine

authors： Karadimas H,Ebrahiminia V,Lepage E

更新日期：2018-11-01 00:00:00

abstract：:Quality of life of patients with Parkinson's disease degrades significantly with disease progression. This paper presents a step towards personalized management of Parkinson's disease patients, based on discovering groups of similar patients. Similarity is based on patients' medical conditions and changes in the presc...

journal_title：Artificial intelligence in medicine

authors： Valmarska A,Miljkovic D,Konitsiotis S,Gatsios D,Lavrač N,Robnik-Šikonja M

更新日期：2018-09-01 00:00:00

abstract：:Hypertensive Retinopathy (HR) caused by hypertension is a retinal disease which may leads to vision loss and blindness. Computer aided diagnostic systems for various diseases are being used in clinics but there is a need to develop an automated system that detects and grades HR disease. In this paper, an automated sys...

journal_title：Artificial intelligence in medicine

authors： Akbar S,Akram MU,Sharif M,Tariq A,Khan SA

更新日期：2018-08-01 00:00:00

abstract：:During the appointment booking process in out-patient departments, the level of patient satisfaction can be affected by whether or not their preferences can be met, including the choice of physicians and preferred time slot. In addition, because the appointments are sequential, considering future possible requests is ...

journal_title：Artificial intelligence in medicine

authors： Li X,Wang J,Fung RYK

更新日期：2018-04-01 00:00:00

abstract：OBJECTIVE:In this paper, we propose a novel algorithm to extract the active intervals of intracardiac electrograms during atrial fibrillation. METHODS:First, we show that the characteristics of the signal waveform at its inflection points are prominent features that are implicitly used by human annotators for distingu...

journal_title：Artificial intelligence in medicine

authors： Hajimolahoseini H,Hashemi J,Gazor S,Redfearn D

更新日期：2018-04-01 00:00:00

abstract：OBJECTIVE:Formulate the induction and control of gene regulatory networks (GRNs) from gene expression data using Partially Observable Markov Decision Processes (POMDPs). METHODS AND MATERIAL:Different approaches exist to model GRNs; they are mostly simulated as mathematical models that represent relationships between ...

journal_title：Artificial intelligence in medicine

authors： Erdogdu U,Polat F,Alhajj R

更新日期：2017-11-01 00:00:00

abstract：:Accounting for patients with multiple health conditions is a complex task that requires analysing potential interactions among recommendations meant to address each condition. Although some approaches have been proposed to address this issue, important features still require more investigation, such as (re)usability a...

journal_title：Artificial intelligence in medicine

authors： Zamborlini V,da Silveira M,Pruski C,Ten Teije A,Geleijn E,van der Leeden M,Stuiver M,van Harmelen F

更新日期：2017-09-01 00:00:00

abstract：OBJECTIVE:Ontologies are widely used in the biomedical domain. While many tools exist for the edition, alignment or evaluation of ontologies, few solutions have been proposed for ontology programming interface, i.e. for accessing and modifying an ontology within a programming language. Existing query languages (such as...

journal_title：Artificial intelligence in medicine

authors： Lamy JB

更新日期：2017-07-01 00:00:00

abstract：:Cancer is a fatal disease, responsible for one-quarter of all deaths in developed countries. Traditional anticancer therapies such as, chemotherapy and radiation, are highly expensive, susceptible to errors and ineffective techniques. These conventional techniques induce severe side-effects on human cells. Due to peri...

journal_title：Artificial intelligence in medicine

authors： Akbar S,Hayat M,Iqbal M,Jan MA

更新日期：2017-06-01 00:00:00

abstract：:Early recognition of heart disease plays a vital role in saving lives. Heart murmurs are one of the common heart problems. In this study, Artificial Neural Network (ANN) is trained with Modified Neighbor Annealing (MNA) to classify heart cycles into normal and murmur classes. Heart cycles are separated from heart soun...

journal_title：Artificial intelligence in medicine

authors： Eslamizadeh G,Barati R

更新日期：2017-05-01 00:00:00

abstract：OBJECTIVE:We present the implementation and application of a case-based reasoning (CBR) system for breast cancer related diagnoses. By retrieving similar cases in a breast cancer decision support system, oncologists can obtain powerful information or knowledge, complementing their own experiential knowledge, in their m...

journal_title：Artificial intelligence in medicine

authors： Gu D,Liang C,Zhao H

更新日期：2017-03-01 00:00:00

abstract：OBJECTIVE:The aim of this paper is to provide an improved method for solving the so-called dynamic patient admission scheduling (DPAS) problem. This is a complex scheduling problem that involves assigning a set of patients to hospital beds over a given time horizon in such a way that several quality measures reflecting...

journal_title：Artificial intelligence in medicine

authors： Lusby RM,Schwierz M,Range TM,Larsen J

更新日期：2016-11-01 00:00:00

abstract：OBJECTIVE:In this paper, we aim to evaluate the use of electronic technologies in out of hours (OoH) task-management for assisting the design of effective support systems in health care; targeting local facilities, wards or specific working groups. In addition, we seek to draw and validate conclusions with relevance to...

journal_title：Artificial intelligence in medicine

authors： Perez I,Brown M,Pinchin J,Martindale S,Sharples S,Shaw D,Blakey J

更新日期：2016-10-01 00:00:00