196,909 results match your criteria intelligence

Artificial Intelligence in Pathology: Easing the Burden of Annotation Running Title: AI Annotation Reduction.

Am J Pathol 2021 Jun 12. Epub 2021 Jun 12.

Emeritus Professor, Rutgers-NJMS; Department of Pathology and Laboratory Medicine Adjunct Professor, Perelman Medical School; Adjunct Professor, Sidney Kimmel School of Medicine, Philadelphia, PA. Electronic address:

The need for huge datasets represents a bottleneck for applications of artificial intelligence. In Pathology, an additional problem is that there are often substantially fewer annotated target lesions than normal tissues for comparison. Organic brains overcome these limitations by utilizing large numbers of specialized neural nets arranged in both linear and parallel fashion, with each solving a restricted classification problem. Read More

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Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images.

Am J Pathol 2021 Jun 12. Epub 2021 Jun 12.

Department of Radiology and Committee on Medical Physics, University of Chicago, Chicago, IL, USA, 60637. Electronic address:

With applications in object detection, image feature extraction, image classification, and image segmentation, artificial intelligence is enabling high-throughput analysis of image data in a variety of biomedical imaging disciplines, ranging from radiology and pathology to cancer biology and immunology. Specifically, a growth in research surrounding deep learning has led to widespread application of computer vision techniques to analyze and mine data from biomedical images. The availability of open-source software packages and the development of novel, trainable deep neural network architectures has led to an increase in accuracy of cell detection and segmentation algorithms. Read More

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Using real-word data to evaluate the effects of broadening eligibility criteria in oncology trials.

Cancer Cell 2021 Jun;39(6):750-752

Princess Margaret Cancer Centre, University Health Network, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada. Electronic address:

Eligibility criteria restrict patient enrollment in clinical trials. A Nature paper applied a machine-learning algorithm in a real-world database to show that relaxing some criteria may not jeopardize efficacy and safety. This may enable more patients to have earlier access to new therapies and make results more generalizable to clinical practice. Read More

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Individual differences in the temporal relationship between sleep and agitation: a single-subject study in nursing home residents with dementia experiencing sleep disturbance and agitation.

Aging Ment Health 2021 Jun 15:1-9. Epub 2021 Jun 15.

University Center of Psychiatry & Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Objectives: Previous studies on the interrelationship between sleep and agitation relied on group-aggregates and so results may not be applicable to individuals. This proof-of-concept study presents the single-subject study design with time series analysis as a method to evaluate the association between sleep and agitation in individual nursing home residents using actigraphy.

Method: To record activity, three women and two men (aged 78-89 years) wore the MotionWatch 8© (MW8) for 9 consecutive weeks. Read More

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ECG for Screening Cardiac Abnormalities: The Premise and Promise of Machine Learning.

Circ Cardiovasc Imaging 2021 Jun 15;14(6):e012837. Epub 2021 Jun 15.

Division of Cardiology, Department of Medicine, West Virginia University Heart and Vascular Institute, Morgantown, WV, USA.

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Combination of Biomedical Techniques and Paradigms to Improve Prognostications for Disorders of Consciousness.

Neurosci Bull 2021 Jun 15. Epub 2021 Jun 15.

National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, 100190, China.

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Phenotypic spectrum and mechanism analysis of Schaff Yang syndrome: A case report on new mutation of MAGEL2 gene.

Medicine (Baltimore) 2021 Jun;100(24):e26309

Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University.

Rationale: The Schaaf-Yang syndrome (SYS) is an autosomal dominant multi-system genetic disease caused by melanoma antigen L2 (MAGEL2) gene mutations imprinted by mothers and expressed by fathers on the 15q11-15q13 chromosomes in the critical region of Prader-Willi. MAGEL2 is a single exon gene and one of the protein-coding genes of the Prader-Willi domain. MAGEL2 is a matrilineal imprinted gene (i. Read More

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Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model.

JMIR Res Protoc 2021 Jun 15;10(6):e26448. Epub 2021 Jun 15.

Department of Science and Technology, Universidade Federal de São Paulo, São Paulo, Brazil.

Background: A systematic review can be defined as a summary of the evidence found in the literature via a systematic search in the available scientific databases. One of the steps involved is article selection, which is typically a laborious task. Machine learning and artificial intelligence can be important tools in automating this step, thus aiding researchers. Read More

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Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study.

J Med Internet Res 2021 Jun 15;23(6):e26892. Epub 2021 Jun 15.

Suzhou Institute of Systems Medicine, Suzhou, China.

Background: Phenotypes characterize the clinical manifestations of diseases and provide important information for diagnosis. Therefore, the construction of phenotype knowledge graphs for diseases is valuable to the development of artificial intelligence in medicine. However, phenotype knowledge graphs in current knowledge bases such as WikiData and DBpedia are coarse-grained knowledge graphs because they only consider the core concepts of phenotypes while neglecting the details (attributes) associated with these phenotypes. Read More

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Fast calculation method of transient temperature rise of motor for electro-mechanical braking.

Sci Prog 2021 Apr-Jun;104(2):368504211024553

School of Mechanical and Energy Engineering, Tongji University, Shanghai, China.

Electro-mechanical braking is a new braking mode of rail vehicles, which has the advantages of compact structure, fast response speed, and high precision. It is a new braking technology that conforms to the development trend of full electrification and full intelligence of rail transit brake devices. Due to the special power demand of the electro-mechanical braking device, the electro-mechanical braking motor has a short-time and intermittent working mechanism and is in the state of blocking during working, resulting in its high-temperature rise. Read More

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Clinically applicable artificial intelligence algorithm for the diagnosis, evaluation, and monitoring of acute retinal necrosis.

J Zhejiang Univ Sci B 2021 Jun;22(6):504-511

Eye Center, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.

The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis (ARN). The potential application of artificial intelligence (AI) algorithms in these areas of clinical research has not been reported previously. The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs. Read More

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Effects of extended abstinence on cognitive functions in tramadol-dependent patients: A cohort study.

Neuropsychopharmacol Rep 2021 Jun 15. Epub 2021 Jun 15.

Department of Psychiatry, Assiut University, Assiut, Egypt.

Background: Some pieces of the literature report impaired cognitive functioning in tramadol dependence. Whether extended abstinence improves cognitive functioning or not is not well studied.

Aim: We aimed to measure the change in cognitive functioning following complete abstinence among individuals with tramadol dependence. Read More

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Developing Neuroimaging Biomarker for Brain Diseases with a Machine Learning Framework and the Brainnetome Atlas.

Neurosci Bull 2021 Jun 14. Epub 2021 Jun 14.

Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.

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MXene and black phosphorus based 2D nanomaterials in bioimaging and biosensing: progress and perspectives.

J Mater Chem B 2021 Jun 15. Epub 2021 Jun 15.

Center for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Bioimaging and biosensing have garnered interest in early cancer diagnosis due to the ability of gaining in-depth insights into cellular functions and providing a wide range of diagnostic parameters. Emerging 2D materials of multielement MXenes and monoelement black phosphorous nanosheets (BPNSs) with unique intrinsic physicochemical properties such as a tunable bandgap and layer-dependent fluorescence, high carrier mobility and transport anisotropy, efficient fluorescence quenching capability, desirable light absorption and thermoelastic properties, and excellent biocompatibility and biosafety properties provide promising nano-platforms for bioimaging and biosensing applications. In view of the growing attention on the rising stars of the post-graphene age in the progress of bioimaging and biosensing, and their common feature characteristics as well as complementarity for constructing complexes, the main objective of this review is to reveal the recent advances in the design of MXene or BPNS based nanoplatforms in the field of bioimaging and biosensing. Read More

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Novel Digital Technologies for Blood Pressure Monitoring and Hypertension Management.

Curr Cardiovasc Risk Rep 2021 9;15(8):11. Epub 2021 Jun 9.

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA.

Purpose Of Review: Hypertension is common, impacting an estimated 108 million US adults, and deadly, responsible for the deaths of one in six adults annually. Optimal management includes frequent blood pressure monitoring and antihypertensive medication titration, but in the traditional office-based care delivery model, patients have their blood pressure measured only intermittently and in a way that is subject to misdiagnosis with white coat or masked hypertension. There is a growing opportunity to leverage our expanding repository of digital technology to reimagine hypertension care delivery. Read More

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Inferring statistical trends of the COVID19 pandemic from current data.Where probability meets fuzziness.

Bruno Apolloni

Inf Sci (N Y) 2021 Jun 9. Epub 2021 Jun 9.

Department of Computer Science, via Comelico 39/41, Milano, 20135, Italy.

We introduce unprecedented tools to infer approximate evolution features of the COVID19 outbreak when these features are altered by containment measures. In this framework we present: 1) a basic tool to deal with samples that are both truncated and non independently drawn, and 2) a two-phase random variable to capture a game changer along a process evolution. To overcome these challenges we lie in an intermediate domain between probability models and fuzzy sets, still maintaining probabilistic features of the employed statistics as the reference KPI of the tools. Read More

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Metabolomic profiling of single enlarged lysosomes.

Nat Methods 2021 Jun 14. Epub 2021 Jun 14.

Institute on Aging and Brain Disorders, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Hefei National Laboratory for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China.

Lysosomes are critical for cellular metabolism and are heterogeneously involved in various cellular processes. The ability to measure lysosomal metabolic heterogeneity is essential for understanding their physiological roles. We therefore built a single-lysosome mass spectrometry (SLMS) platform integrating lysosomal patch-clamp recording and induced nano-electrospray ionization (nanoESI)/mass spectrometry (MS) that enables concurrent metabolic and electrophysiological profiling of individual enlarged lysosomes. Read More

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Continuous-wave near-infrared stimulated-emission depletion microscopy using downshifting lanthanide nanoparticles.

Nat Nanotechnol 2021 Jun 14. Epub 2021 Jun 14.

Department of Chemistry, National University of Singapore, Singapore, Singapore.

Stimulated-emission depletion (STED) microscopy has profoundly extended our horizons to the subcellular level. However, it remains challenging to perform hours-long, autofluorescence-free super-resolution imaging in near-infrared (NIR) optical windows under facile continuous-wave laser depletion at low power. Here we report downshifting lanthanide nanoparticles that enable background-suppressed STED imaging in all-NIR spectral bands (λ = 808 nm, λ = 1,064 nm and λ = 850-900 nm), with a lateral resolution of below 20 nm and zero photobleaching. Read More

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The urgency of resuming disrupted dog rabies vaccination campaigns: a modeling and cost-effectiveness analysis.

Sci Rep 2021 Jun 14;11(1):12476. Epub 2021 Jun 14.

Poxvirus and Rabies Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging & Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Dog vaccination is a cost-effective approach to preventing human rabies deaths. In Haiti, the last nation-wide dog vaccination campaign occurred in 2018. We estimated the number of human lives that could be saved by resuming dog vaccination in 2021 compared to 2022 and compared the cost-effectiveness of these two scenarios. Read More

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Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning.

NPJ Digit Med 2021 Jun 14;4(1):99. Epub 2021 Jun 14.

Deep Bio Inc., Seoul, South Korea.

The Gleason score contributes significantly in predicting prostate cancer outcomes and selecting the appropriate treatment option, which is affected by well-known inter-observer variations. We present a novel deep learning-based automated Gleason grading system that does not require extensive region-level manual annotations by experts and/or complex algorithms for the automatic generation of region-level annotations. A total of 6664 and 936 prostate needle biopsy single-core slides (689 and 99 cases) from two institutions were used for system discovery and validation, respectively. Read More

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A machine learning approach to predict healthcare cost of breast cancer patients.

Sci Rep 2021 Jun 14;11(1):12441. Epub 2021 Jun 14.

Basque Center for Applied Mathematics, Bilbao, Spain.

This paper presents a novel machine learning approach to perform an early prediction of the healthcare cost of breast cancer patients. The learning phase of our prediction method considers the following two steps: (1) in the first step, the patients are clustered taking into account the sequences of actions undergoing similar clinical activities and ensuring similar healthcare costs, and (2) a Markov chain is then learned for each group to describe the action-sequences of the patients in the cluster. A two step procedure is undertaken in the prediction phase: (1) first, the healthcare cost of a new patient's treatment is estimated based on the average healthcare cost of its k-nearest neighbors in each group, and (2) finally, an aggregate measure of the healthcare cost estimated by each group is used as the final predicted cost. Read More

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AI-guided discovery of the invariant host response to viral pandemics.

EBioMedicine 2021 Jun 11:103390. Epub 2021 Jun 11.

Moores Cancer Center, University of California San Diego, USA; Department of Cellular and Molecular Medicine, University of California San Diego, USA; Medicine, University of California San Diego, USA. Electronic address:

Background: Coronavirus Disease 2019 (Covid-19) continues to challenge the limits of our knowledge and our healthcare system. Here we sought to define the host immune response, a.k. Read More

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CT ​EvaLuation ​by ​ARtificial ​Intelligence ​For ​Atherosclerosis, Stenosis and Vascular ​MorphologY ​(CLARIFY): ​A ​Multi-center, international study.

J Cardiovasc Comput Tomogr 2021 Jun 12. Epub 2021 Jun 12.

Department of Radiology, The George Washington University School of Medicine, Washington, DC, USA.

Background: Atherosclerosis evaluation by coronary computed tomography angiography (CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming and requires high expertise. Artificial Intelligence (AI) applied to CCTA for comprehensive CAD assessment may overcome these limitations. We hypothesized AI aided analysis allows for rapid, accurate evaluation of vessel morphology and stenosis. Read More

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Artificial intelligence and simulation in urology.

Actas Urol Esp 2021 Jun 11. Epub 2021 Jun 11.

Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, Países Bajos; Department of Urology and Kidney Transplant, Grande Ospedale Metropolitano, Reggio Calabria, Italia.

Introduction And Objective: Artificial intelligence (AI) is in full development and its implementation in medicine has led to an improvement in clinical and surgical practice. One of its multiple applications is surgical training, with the creation of programs that allow avoiding complications and risks for the patient. The aim of this article is to analyze the advantages of AI applied to surgical training in urology. Read More

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Application of substitution box of present cipher for automated detection of snoring sounds.

Artif Intell Med 2021 Jul 6;117:102085. Epub 2021 May 6.

Ngee Ann Polytechnic, Department of Electronics and Computer Engineering, 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.

Background And Purpose: Snoring is one of the sleep disorders, and snoring sounds have been used to diagnose many sleep-related diseases. However, the snoring sound classification is done manually which is time-consuming and prone to human errors. An automated snoring sound classification model is proposed to overcome these problems. Read More

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NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis.

Artif Intell Med 2021 07 2;117:102082. Epub 2021 May 2.

Department of Radiation and Medical Oncology, Zhongnan Hospital, Wuhan University, Wuhan, PR China.

During pandemics (e.g., COVID-19) physicians have to focus on diagnosing and treating patients, which often results in that only a limited amount of labeled CT images is available. Read More

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Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques.

Artif Intell Med 2021 Jul 30;117:102081. Epub 2021 Apr 30.

Berenson-Allen Center for Noninvasive Brain Stimulation, Harvard Medical School, 330 Brookline Avenue, Boston, United States. Electronic address:

Neurodegenerative diseases have shown an increasing incidence in the older population in recent years. A significant amount of research has been conducted to characterize these diseases. Computational methods, and particularly machine learning techniques, are now very useful tools in helping and improving the diagnosis as well as the disease monitoring process. Read More

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Cost-effectiveness analysis with unordered decisions.

Artif Intell Med 2021 Jul 20;117:102064. Epub 2021 Apr 20.

Department of Artificial Intelligence, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain. Electronic address:

Introduction: Cost-effectiveness analysis (CEA) is used increasingly in medicine to determine whether the health benefit of an intervention is worth the economic cost. Decision trees, the standard decision modeling technique for non-temporal domains, can only perform CEAs for very small problems. Influence diagrams can model much larger problems, but only when the decisions are totally ordered. Read More

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A review of AI and Data Science support for cancer management.

Artif Intell Med 2021 Jul 24;117:102111. Epub 2021 May 24.

University of Haifa, Israel.

Introduction: Thanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data collected by the patient in his/her home environment, its integration, and its analysis, which supports personalization of cancer management recommendations. Read More

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The future of basic science in orthopaedics and traumatology: Cassandra or Prometheus?

Eur J Med Res 2021 Jun 14;26(1):56. Epub 2021 Jun 14.

Institute for Clinical and Experimental Trauma-Immunology (ITI), University Hospital Ulm, Helmholzstr. 8/1, Ulm, Germany.

Orthopaedic and trauma research is a gateway to better health and mobility, reflecting the ever-increasing and complex burden of musculoskeletal diseases and injuries in Germany, Europe and worldwide. Basic science in orthopaedics and traumatology addresses the complete organism down to the molecule among an entire life of musculoskeletal mobility. Reflecting the complex and intertwined underlying mechanisms, cooperative research in this field has discovered important mechanisms on the molecular, cellular and organ levels, which subsequently led to innovative diagnostic and therapeutic strategies that reduced individual suffering as well as the burden on the society. Read More

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