38,501 results match your criteria computer aided


A 3D-Printed Personalized, Combined, Modular Pedicle Subtraction Osteotomy Guide Plate System: An Experimental Study.

Spine (Phila Pa 1976) 2021 Sep 24. Epub 2021 Sep 24.

Ankang Center Hospital, Department of orthopaedics, Ankang 725000, Shaanxi province, P.R. China Shaanxi jinweitai company, 3D Printing Department, Xi'an 710000, Shaanxi province, P.R. China Hong Hui Hospital of Xi'an Jiaotong University, Department of Magnetic Resonance Imaging, Xi'an 710054, Shaanxi province, P.R. China.

Study Design: Experimental study.

Objectives: The goal of this study was to develop a 3D-printed pedicle subtraction osteotomy (PSO) guide plate system. A 3D model and postoperative CT data were used to evaluate the accuracy of osteotomy with this system. Read More

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September 2021

Computational study on novel natural inhibitors targeting c-MET.

Medicine (Baltimore) 2021 Sep;100(38):e27171

Department of Oncology, First People's Hospital of Xinxiang, Xinxiang, China.

Abstract: This study was designed to select ideal lead compounds and preclinical drug candidates http://dict.youdao.com/w/eng/preclinical_drug_candidate/javascript:void (0); with inhibitory effect on c-MET from the drug library (ZINC database). Read More

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September 2021

Imaging sub-diffuse optical properties of cancerous and normal skin tissue using machine learning-aided spatial frequency domain imaging.

J Biomed Opt 2021 Sep;26(9)

The University of Texas at Austin, Department of Biomedical Engineering, Austin, Texas, United States.

Significance: Sub-diffuse optical properties may serve as useful cancer biomarkers, and wide-field heatmaps of these properties could aid physicians in identifying cancerous tissue. Sub-diffuse spatial frequency domain imaging (sd-SFDI) can reveal such wide-field maps, but the current time cost of experimentally validated methods for rendering these heatmaps precludes this technology from potential real-time applications.

Aim: Our study renders heatmaps of sub-diffuse optical properties from experimental sd-SFDI images in real time and reports these properties for cancerous and normal skin tissue subtypes. Read More

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September 2021

Molecular interpretation of the carbon nitride performance as a template for the transport of anti-cancer drug into the biological membrane.

Sci Rep 2021 Sep 23;11(1):18981. Epub 2021 Sep 23.

Department of Chemistry, University of Birjand, Birjand, Iran.

Evaluation of interaction mechanism between 2-dimensional (2D) nanomaterials and cell membranes is a critical issue in providing guidelines for biomedical applications. Recent progress in computer-aided molecular design tools, especially molecular dynamics (MD) simulation, afford a cost-effective approach to achieving this goal. In this work, based on this hypothesis, by utilizing theoretical methods including MD simulation and free energy calculations, a process is evaluated in which the Doxorubicin (DOX)-loaded onto carbon nitride (CN) nanosheet faced with bilayer membrane. Read More

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September 2021

Bonding ability of resin cements to different types of CAD/CAM composite blocks.

Dent Mater J 2021 Sep 23. Epub 2021 Sep 23.

Department of Operative Dentistry, Nihon University School of Dentistry.

This study investigated the bonding performance of two different types of resin cements to computer-aided design/computer-aided manufacturing (CAD/CAM) composite blocks based on the shear bond strength (SBS) test. A silane-containing self-adhesive resin cement (Panavia SA Cement Universal) and resin luting cement (Block HC Cem) with a primer, were used. Specimens were fabricated from three different types of CAD/CAM composite blocks, and their surfaces were blasted with alumina. Read More

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September 2021

Accurate transfer of bimaxillary orthognathic surgical plans using computer-aided intraoperative navigation.

Korean J Orthod 2021 Sep;51(5):321-328

Department of Oral and Maxillofacial Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Objective: To examine the accuracy of computer-aided intraoperative navigation (Ci-Navi) in bimaxillary orthognathic surgery by comparing preoperative planning and postoperative outcome.

Methods: The study comprised 45 patients with congenital dentomaxillofacial deformities who were scheduled to undergo bimaxillary orthognathic surgery. Virtual bimaxillary orthognathic surgery was simulated using Mimics software. Read More

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September 2021

Comparison of digital and silicone impressions for single-tooth implants and two- and three-unit implants for a free-end edentulous saddle.

BMC Oral Health 2021 Sep 23;21(1):464. Epub 2021 Sep 23.

Department of Oral and Maxillofacial Implantology, Kanagawa Dental University, 82 Inaoka-cho, Yokosuka, 238-8580, Japan.

Background: The use of intraoral scanners (IOS) has facilitated the use of digital workflows for the fabrication of implant-supported prostheses not only for single missing teeth, but also for multiple missing teeth. However, the clinical application of IOS and computer-aided design/manufacturing (CAD/CAM) in implant-supported prosthodontics remains unclear. This study aimed to compare the accuracy of digital and silicone impressions for single-tooth implants for bounded edentulous spaces and two-unit and three-unit implant-supported fixed dental prostheses for free-end edentulous spaces. Read More

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September 2021

Lightweight deep neural networks for cholelithiasis and cholecystitis detection by point-of-care ultrasound.

Comput Methods Programs Biomed 2021 Aug 30;211:106382. Epub 2021 Aug 30.

Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei 110, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei 110, Taiwan. Electronic address:

Background And Objective: Emergency physicians (EPs) frequently deal with abdominal pain, including that is caused by either gallstones or acute cholecystitis. Easy access and low cost justify point-of-care ultrasound (POCUS) use as a first-line test to detect these diseases; yet, the detection performance of POCUS by EPs is unreliable, causing misdiagnoses with serious impacts. This study aimed to develop a machine learning system to detect and localize gallstones and to detect acute cholecystitis by ultrasound (US) still images taken by physicians or technicians for preliminary diagnoses. Read More

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Multi-Class brain normality and abnormality diagnosis using modified Faster R-CNN.

Int J Med Inform 2021 Sep 16;155:104576. Epub 2021 Sep 16.

Selcuk University, Radiology Department, Konya, Turkey.

Background And Objective: The detection and analysis of brain disorders through medical imaging techniques are extremely important to get treatment on time and sustain a healthy lifestyle. Disorders cause permanent brain damage and alleviate the lifespan. Moreover, the classification of large volumes of medical image data manually by medicine experts is tiring, time-consuming, and prone to errors. Read More

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September 2021

The lay descriptors of out-of-hospital cardiac arrest in the Western Cape province, South Africa.

Resusc Plus 2021 Sep 23;7:100146. Epub 2021 Jun 23.

Division of Emergency Medicine, University of Cape Town, South Africa.

Introduction: Out-of-Hospital Cardiac Arrest (OHCA) is a time-sensitive emergency requiring prompt identification and emergency care to reduce morbidity and mortality. The first step in managing OHCA is rapid identification by the emergency dispatch centre. Identification of these patients remains challenging in South Africa due to multiple languages and widely differing levels of education. Read More

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September 2021

A Review of the Role of the S-Detect Computer-Aided Diagnostic Ultrasound System in the Evaluation of Benign and Malignant Breast and Thyroid Masses.

Med Sci Monit 2021 Sep 23;27:e931957. Epub 2021 Sep 23.

Department of Internal Medicine, Hirslanden Clinic, Bern, Switzerland.

Computer-aided diagnosis (CAD) systems have attracted extensive attention owing to their performance in the field of image diagnosis and are rapidly becoming a promising auxiliary tool in medical imaging tasks. These systems can quantitatively evaluate complex medical imaging features and achieve efficient and high-diagnostic accuracy. Deep learning is a representation learning method. Read More

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September 2021

Dental students' preference and perception on intraoral scanning and impression making.

BMC Med Educ 2021 Sep 22;21(1):501. Epub 2021 Sep 22.

Department of Reconstructive Dentistry and Gerodontology, School of Dental Medicine, University of Bern, 6 Hochschulstrasse, CHE 3012, Bern, Switzerland.

Background: To investigate the preference and perception on intraoral scanning and impression making among dental students.

Methods: Final-year dental students from the 2019 and 2020 cohorts were invited to complete an online questionnaire via Google-Form. Their preference on the intraoral-scanning/impression making techniques and their perception on these techniques including the ease of defect identification, ease of infection control, need of chairside support, ease to master the technique as a beginner, efficiency in their hands and ease to handle the scanner software (yes/no) were collected. Read More

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September 2021

Protein self-entanglement modulates successful folding to the native state: A multi-scale modeling study.

J Chem Phys 2021 Sep;155(11):115101

Department of Physics, University of Trento, Trento, Italy and INFN-TIFPA, Trento Institute for Fundamental Physics and Applications, Trento, Italy.

The computer-aided investigation of protein folding has greatly benefited from coarse-grained models, that is, simplified representations at a resolution level lower than atomistic, providing access to qualitative and quantitative details of the folding process that would be hardly attainable, via all-atom descriptions, for medium to long molecules. Nonetheless, the effectiveness of low-resolution models is itself hampered by the presence, in a small but significant number of proteins, of nontrivial topological self-entanglements. Features such as native state knots or slipknots introduce conformational bottlenecks, affecting the probability to fold into the correct conformation; this limitation is particularly severe in the context of coarse-grained models. Read More

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September 2021

Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

PLoS One 2021 22;16(9):e0257006. Epub 2021 Sep 22.

Image Research Center, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great burden on healthcare systems. Early detection of skin tumors is expected to reduce this burden. Read More

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September 2021

Discovery and evaluation of entry inhibitors for SARS-CoV-2 and its emerging variants.

J Virol 2021 Sep 22:JVI0143721. Epub 2021 Sep 22.

Department of Pharmacology and Experimental Neuroscience, University of Nebraska Medical Center, Omaha, NE 68131, USA.

The outbreak of SARS-CoV-2 is responsible for the COVID-19 pandemic. Despite unprecedented research and developmental efforts, SARS-CoV-2-specific antivirals are still unavailable for the treatment of COVID-19. In most instances, SARS-CoV-2 infection initiates with the binding of spike glycoprotein to the host cell ACE2 receptor. Read More

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September 2021

Virtual Surgical Planning for Oncologic Mandibular and Maxillary Reconstruction.

Plast Reconstr Surg Glob Open 2021 Sep 17;9(9):e3672. Epub 2021 Sep 17.

Memorial Sloan Kettering Cancer Center, New York, N.Y.

Virtual surgical planning (VSP) with computer-aided design and computer-aided modeling (CAD/CAM) enables the opportunity to provide personalized medicine in complex head and neck reconstruction. This innovative technology allows ablative and reconstructive surgeons to virtually create and manipulate three-dimensional anatomic models to plan both the resection and reconstruction of complicated maxillofacial defects. Studies demonstrate improvements in preoperative planning, operative efficiency and accuracy, and postoperative outcomes. Read More

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September 2021

Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design.

J Chem Inf Model 2021 Sep 21. Epub 2021 Sep 21.

Maj Institute of Pharmacology Polish Academy of Sciences, Smetna 12 Street, 31-343, Cracow, Poland.

Structural fingerprints and pharmacophore modeling are methodologies that have been used for at least 2 decades in various fields of cheminformatics, from similarity searching to machine learning (ML). Advances in techniques consequently led to combining both these methodologies into a new approach known as the pharmacophore fingerprint. Herein, we propose a high-resolution, pharmacophore fingerprint called Pharmacoprint that encodes the presence, types, and relationships between pharmacophore features of a molecule. Read More

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September 2021

Deep neural network for early image diagnosis of Stevens-Johnson syndrome/toxic epidermal necrolysis.

J Allergy Clin Immunol Pract 2021 Sep 18. Epub 2021 Sep 18.

Division of Dermatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan. Electronic address:

Background: Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) is a life-threatening cutaneous adverse drug reaction (cADR). However, distinguishing SJS/TEN from non-severe cADRS is difficult, especially in the early stages of the disease.

Objective: To overcome this limitation, we developed a computer-aided diagnosis system for the early diagnosis of SJS/TEN, powered by a deep convolutional neural network (DCNN). Read More

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September 2021

Interpretability-Based Multimodal Convolutional Neural Networks for Skin Lesion Diagnosis.

IEEE Trans Cybern 2021 Sep 21;PP. Epub 2021 Sep 21.

Skin lesion diagnosis is a key step for skin cancer screening, which requires high accuracy and interpretability. Though many computer-aided methods, especially deep learning methods, have made remarkable achievements in skin lesion diagnosis, their generalization and interpretability are still a challenge. To solve this issue, we propose an interpretability-based multimodal convolutional neural network (IM-CNN), which is a multiclass classification model with skin lesion images and metadata of patients as input for skin lesion diagnosis. Read More

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September 2021

Bioconversion of Methanol by Synthetic Methylotrophy.

Adv Biochem Eng Biotechnol 2021 Sep 21. Epub 2021 Sep 21.

State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, People's Republic of China.

As an important building block in the chemical industry, methanol has become an attractive substrate in biorefinery owing to its abundance and low cost. With the development of synthetic biology, metabolic engineering of non-methylotrophy to construct synthetic methylotrophy has drawn increased attention. As for the metabolic construction of methanol assimilation pathway in some industrial hosts, several artificial methanol assimilation pathways have recently been designed and constructed based on the computer-aided design. Read More

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September 2021

Simulation studies on electrical characteristics of silicon nanowire feedback field-effect transistors with interface trap charges.

Sci Rep 2021 Sep 20;11(1):18650. Epub 2021 Sep 20.

Department of Semiconductor Systems Engineering, Korea University, Seoul, Republic of Korea.

In this study, we examine the electrical characteristics of silicon nanowire feedback field-effect transistors (FBFETs) with interface trap charges between the channel and gate oxide. The band diagram, I-V characteristics, memory window, and operation were analyzed using a commercial technology computer-aided design simulation. In an n-channel FBFET, the memory window narrows (widens) from 5. Read More

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September 2021

Recent Neglected Drug Design Studies.

Curr Top Med Chem 2021 Sep 20. Epub 2021 Sep 20.

Lauro Wanderley University Hospital (HULW), Health Sciences Center, Federal University of Paraíba, João Pessoa-PB. Brazil.

Background: Neglected diseases require special attention when looking for new therapeutic alternatives, as these are diseases of extreme complexity and severity that affect populations belonging to lower social classes who are lacking access to basic rights such as basic sanitation.

Introduction: Among the alternatives available for obtaining new drugs is Medicinal Chemistry, which is responsible for the discovery, identification, invention and preparation of prototypes. In this perspective, the present work aims to make a bibliographic review on the recent studies of Medicinal Chemistry applied to neglected diseases. Read More

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September 2021

Influence of the resin-coating technique on the bonding performance of self-adhesive resin cements in single-visit computer-aided design/computer-aided manufacturing resin restorations.

J Esthet Restor Dent 2021 Sep 20. Epub 2021 Sep 20.

Department of Cariology and Operative Dentistry, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.

Objective: This in vitro study investigated the influence of resin coating on the bonding performance of self-adhesive resin cements in single-visit computer-aided design (CAD)/computer-aided manufacturing (CAM) resin restorations.

Materials And Method: CAD/CAM resin (1.5-mm thick) was mounted on 20 noncoated and 20 resin-coated human dentin surfaces using dual-cured self-adhesive resin cements (Panavia SA Cement Plus or Panavia SA Cement Universal, Kuraray Noritake Dental) in either self-curing or dual-curing mode. Read More

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September 2021

Effect of training on time efficiency and marginal adaptation of computer-aided design/computer-aided manufacturing crowns among dental students.

Eur J Dent Educ 2021 Sep 19. Epub 2021 Sep 19.

Department of Restorative Dentistry, Faculty of Dentistry, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.

Introduction: The computer-aided design/computer-aided manufacturing (CAD/CAM) technology has revolutionised dentistry at present. An operator's skills can affect the overall clinical duration and marginal accuracy of the prosthesis fabricated through this workflow. The aim of this study was to assess the effect of CAD/CAM hands-on training compared with that of a self-instructional video on the performance of dental students in digital impression and fabrication of a CAD/CAM crown. Read More

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September 2021

Solving musculoskeletal biomechanics with machine learning.

PeerJ Comput Sci 2021 26;7:e663. Epub 2021 Aug 26.

Department of Human Performance-Exercise Physiology, School of Medicine, West Virginia University, Morgantown, West Virginia, United States.

Deep learning is a relatively new computational technique for the description of the musculoskeletal dynamics. The experimental relationships of muscle geometry in different postures are the high-dimensional spatial transformations that can be approximated by relatively simple functions, which opens the opportunity for machine learning (ML) applications. In this study, we challenged general ML algorithms with the problem of approximating the posture-dependent moment arm and muscle length relationships of the human arm and hand muscles. Read More

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Algorithm combining virtual chromoendoscopy features for colorectal polyp classification.

Endosc Int Open 2021 Oct 16;9(10):E1497-E1503. Epub 2021 Sep 16.

Department of Gastroenterology and Hepatology, Catharina Cancer Institute, Catharina Hospital Eindhoven, The Netherlands.

 Colonoscopy is considered the gold standard for decreasing colorectal cancer incidence and mortality. Optical diagnosis of colorectal polyps (CRPs) is an ongoing challenge in clinical colonoscopy and its accuracy among endoscopists varies widely. Computer-aided diagnosis (CAD) for CRP characterization may help to improve this accuracy. Read More

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October 2021

Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images.

Arab J Sci Eng 2021 Sep 12:1-17. Epub 2021 Sep 12.

Department of Computer Engineering, Faculty of Engineering and Architecture, Kirikkale University, Yahsihan, Kirikkale Turkey.

Pneumonia is a fatal disease that appears in the lungs and is caused by viral or bacterial infection. Diagnosis of pneumonia in chest X-ray images can be difficult and error-prone because of its similarity with other infections in the lungs. The aim of this study is to develop a computer-aided pneumonia detection system to facilitate the diagnosis decision process. Read More

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September 2021

Artificial intelligence application in diagnostic gastrointestinal endoscopy - Deus ex machina?

World J Gastroenterol 2021 Aug;27(32):5351-5361

Department of Gastroenterology, Hospital Prof. Dr Fernando Fonseca, Lisbon 2720-276, Portugal.

The close relationship of medicine with technology and the particular interest in this symbiosis in recent years has led to the development of several computed artificial intelligence (AI) systems aimed at various areas of medicine. A number of studies have demonstrated that those systems allow accurate diagnoses with histological precision, thus facilitating decision-making by clinicians in real time. In the field of gastroenterology, AI has been applied in the diagnosis of pathologies of the entire digestive tract and their attached glands, and are increasingly accepted for the detection of colorectal polyps and confirming their histological classification. Read More

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Adoption of New Technologies: Artificial Intelligence.

Gastrointest Endosc Clin N Am 2021 Oct 20;31(4):743-758. Epub 2021 Jul 20.

Center for Advanced Endoscopy, Division of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA 02130, USA.

Over the past decade, artificial intelligence (AI) has been broadly applied to many aspects of human life, with recent groundbreaking successes in facial recognition, natural language processing, autonomous driving, and medical imaging. Gastroenterology has applied AI to a vast array of clinical problems, and some of the earliest prospective trials examining AI in medicine have been in computer vision applied to endoscopy. Evidence is mounting for 2 broad areas of AI as applied to gastroenterology: computer-aided detection and computer-aided diagnosis. Read More

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October 2021

Opportunities for overcoming tuberculosis: Emerging targets and their inhibitors.

Drug Discov Today 2021 Sep 16. Epub 2021 Sep 16.

Innovation Institute for Artificial Intelligence in Medicine, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; State Key Lab of Computer-aided Design and Computer Graphics (CAD&CG), Zhejiang University, Hangzhou, Zhejiang 310058, China. Electronic address:

Tuberculosis (TB), an airborne infectious disease mainly caused by Mycobacterium tuberculosis (Mtb), remains a leading cause of human morbidity and mortality worldwide. Given the alarming rise of resistance to anti-TB drugs and latent TB infection (LTBI), new targets and novel bioactive compounds are urgently needed for the treatment of this disease. We provide an overview of the recent advances in anti-TB drug discovery, emphasizing several newly validated targets for which an inhibitor has been reported in the past five years. Read More

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September 2021