The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
H P Soyer - One of the best experts on this subject based on the ideXlab platform.
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consumer acceptance of patient performed mobile teledermoscopy for the early detection of melanoma
British Journal of Dermatology, 2016Co-Authors: Caitlin Horsham, H P Soyer, Lois J Loescher, David C Whiteman, Monika JandaAbstract:BACKGROUND Mobile teledermoscopy allows consumers to send images of skin lesions to a teledermatologist for remote diagnosis. Currently, technology acceptance of mobile teledermoscopy by people at high risk of melanoma is unknown. OBJECTIVES We aimed to determine acceptance of mobile teledermoscopy by consumers based on: perceived usefulness; ease of use; compatibility; attitude, intention; subjective norms; facilitators, and trust before use. Satisfaction was explored after use. METHODS Consumers 50-64 years at high risk of melanoma (fair skin, or previous skin cancer) were recruited from a population-based cohort study and via media announcements in Brisbane, Australia in 2013. Participants completed a 27-item questionnaire pre-teledermoscopy modified from a Technology Acceptance Model. The first 49 participants with a suitable Smartphone then conducted mobile teledermoscopy in their homes for early detection of melanoma and asked to rate their satisfaction. RESULTS The pre-teledermoscopy questionnaire was completed by 228 participants. Most (87%) participants agreed mobile teledermoscopy would improve their skin self-examination performance and 91% agreed it would be in their best interest to use. However nearly half (45%) of participants were unsure, if they had complete trust in the Telediagnosis. Participants who conducted mobile teledermoscopy (n=49) reported the dermatoscope was easy to use (94%), motivated them to examine their skin more often (86%), but 18% could not take photos in hard to see areas and 35% required help to submit the photo to the teledermatologist. CONCLUSIONS Mobile teledermoscopy consumer acceptance appears favourable. This new technology warrants further assessment for its utility in melanoma early detection or follow-up.
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face to face diagnosis vs Telediagnosis of pigmented skin tumors a teledermoscopic study
Archives of Dermatology, 1999Co-Authors: Domenico Piccolo, J Smolle, Ingrid H Wolf, Ketty Peris, Rainer Hofmannwellenhof, G Delleva, Marco Burroni, Sergio Chimenti, H Kerl, H P SoyerAbstract:Background Teledermoscopy uses telecommunication technologies to transfer images of pigmented skin lesions, including clinical and anamnestic data, via e-mail to specialized centers for teleconsultation. Design Sixty-six pigmented skin lesions examined on a face-to-face basis in a skin lesion clinic in L'Aquila, Italy, were sent via e-mail on a standard-resolution color monitor for consultation at a university dermatology department in Graz, Austria. Intervention Digital photographs of the clinical and dermoscopic images of all pigmented tumors were taken with a stereomicroscope connected to a high-resolution video camera in Truevision advanced graphic array (Targa) format file and converted successively into a Joint Photographic Expert Group (JPEG) format file. All lesions were excised surgically and diagnosed histopathologically. Main Outcome Measure Diagnostic concordance between face-to-face diagnosis and Telediagnosis. Results The diagnostic concordance was 60 (91%) of 66 cases. The number of correct telediagnoses was lower, but the difference was not statistically significant (Wilcoxon test, P = .10). The accuracy of the telediagnoses was not related to the quality of the images, but highly depended on the level of diagnostic difficulty of a given pigmented skin tumor (Spearman correlation, P = .01). Conclusion Teleconsultation of clinical and dermoscopic images of skin tumors via e-mail provides a similar degree of diagnostic accuracy as face-to-face diagnosis.
Vinicius Coelho Carrard - One of the best experts on this subject based on the ideXlab platform.
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Telediagnosis of oral lesions using smartphone photography
Oral Diseases, 2021Co-Authors: Bruna Basso Fonseca, Nicole Nichele Perdoncini, Victor Cordeiro Da Silva, Luiz Alcino Monteiro Gueiros, Vinicius Coelho Carrard, Celso Augusto Lemos, Juliana Lucena Schussel, Jose Miguel Amenabar, Cassius Carvalho TorrespereiraAbstract:OBJECTIVE The objective of this observational study was to evaluate Telediagnosis of oral lesions using smartphone photography. MATERIALS AND METHODS Individuals with visible oral lesions composed a convenience sample. The lesions were photographed using a smartphone camera and emailed along with clinical information to three evaluators, who formulated up to two diagnostic hypotheses for each case. A total of 235 photographs from 113 clinical cases were obtained. The evaluators answered questions regarding referral decisions, requests for additional tests, diagnostic difficulties, and image quality. The diagnostic hypotheses were compared to the gold standard by means of percent agreement and kappa coefficient. Consensual face-to-face diagnoses of three specialists-when only a clinical diagnosis was necessary-or histopathological results-when a biopsy was necessary-were considered the gold standard. RESULTS The Telediagnosis was similar to the gold standard in 76% of the cases, and kappa coefficients showed almost perfect agreement (k = 0.817-0.903). The evaluators considered that referrals could have been avoided on an average of 35,4% of the cases. CONCLUSION Diagnosis of oral lesions using images taken with a smartphone showed almost perfect agreement and diagnostic accuracy comparable to face-to-face diagnosis.
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perceived usability of a store and forward telehealth platform for diagnosis and management of oral mucosal lesions a cross sectional study
PLOS ONE, 2020Co-Authors: Michelle Roxogoncalves, Carlos Andre Aita Schmitz, Otavio Pereira Davila, Marco Antonio Trevizani Martins, Manoela Domingues Martins, Rafael Gustavo Dal Moro, Dimitris Rucks Varvaki Rados, Roberto Nunes Umpierre, Marcelo Rodrigues Goncalves, Vinicius Coelho CarrardAbstract:EstomatoNet was created in the south of Brazil to provides specialist support over a web-based platform to primary care dentists for diagnosis of oral lesions. To evaluate the usability of EstomatoNet and to identify user perceptions regarding their expectations and difficulties with the system; and to compare the perceptions of regular users of the service to those of first-time users. Sixteen dentists were selected for the study: 8 were frequent users of EstomatoNet and 8 were residents who had never used the Platform. To assess usability, participants were required to request Telediagnosis support for a fictional case provided by the research team. During the process of uploading the information and sending the request, users were asked to "think out loud," expressing their perceptions. The session was observed by an examiner with remote access to the user's screen (via Skype). After the simulation, users completed the System Usability Scale (SyUS), a validated tool with scores ranging from 0 to 100. The mean SyUS score assigned by frequent users was 84.7±6.6, vs. 82.2±9.3 for residents (satisfactory usability: score above 68). The difference between the groups was not statistically significant (Student t test, P = .55). The residents group took longer (347.1±101.1s) to complete the task than frequent users (252.8±80.3s); however, the difference between the groups was not statistically significant (Student t test, P = .06). In their subjective evaluation, users suggested the inclusion of a field to add further information on outcomes and resolution of the case and changes in the position of the "Send" button to improve workflow. The present results indicate satisfactory usability of EstomatoNet. The Platform seems to meet the needs of users regardless of how experienced they are; nevertheless, a few minor changes in some steps would improve the tool.
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Telediagnosis of oral lesions in primary care the estomatonet program
Oral Diseases, 2018Co-Authors: Vinicius Coelho Carrard, Roxo M Goncalves, Rodriguez J Strey, Carlos Pilz, Mat Martins, Carlos Andre Aita Schmitz, R Dal G Moro, Otavio Pereira Davila, Drv Rados, Erno HarzheimAbstract:Objective The diagnosis of oral lesions is often challenging for primary healthcare providers, which explains the high number of referrals to specialist care. This favors increases in waiting lines and delays in diagnosis, contributing to high mortality rates from oral cancer. This study aimed to summarize the experience of the EstomatoNet, a Telediagnosis program catering to primary care dentists and physicians from southern Brazil. Study design This exploratory study included all queries received by EstomatoNet from June 2015 to December 2016. Health providers (71 dentists and 18 physicians from primary care) submitted requests including clinical information and photographs of oral lesions by means of a cloud-based platform. Specialized oral medicine teleconsultants received the data, conveyed a diagnostic hypothesis, and conveyed management recommendations. Results Actinic cheilitis (n = 41, 15.8%), squamous cell carcinoma (n = 22, 8.5%), and inflammatory hyperplasia (21, 8.1%) were the most frequent diagnoses. Teleconsultants recommended referral to specialists in 42.9% of the cases, total biopsy in 23.6%, and follow-up in 16.2%. After the EstomatoNet use, the intention to refer the patients to face-to-face consultation reduced from 96.9% to 35.1%. Conclusion Telediagnosis for oral lesions is feasible and has potential to improve the quality of primary health care by bridging the gap between primary and specialized health care.
Y N Zhang - One of the best experts on this subject based on the ideXlab platform.
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can a smartphone diagnose parkinson disease a deep neural network method and Telediagnosis system implementation
Parkinson's Disease, 2017Co-Authors: Y N ZhangAbstract:Parkinson's disease (PD) is primarily diagnosed by clinical examinations, such as walking test, handwriting test, and MRI diagnostic. In this paper, we propose a machine learning based PD Telediagnosis method for smartphone. Classification of PD using speech records is a challenging task owing to the fact that the classification accuracy is still lower than doctor-level. Here we demonstrate automatic classification of PD using time frequency features, stacked autoencoders (SAE), and K nearest neighbor (KNN) classifier. KNN classifier can produce promising classification results from useful representations which were learned by SAE. Empirical results show that the proposed method achieves better performance with all tested cases across classification tasks, demonstrating machine learning capable of classifying PD with a level of competence comparable to doctor. It concludes that a smartphone can therefore potentially provide low-cost PD diagnostic care. This paper also gives an implementation on browser/server system and reports the running time cost. Both advantages and disadvantages of the proposed Telediagnosis system are discussed.
Domenico Piccolo - One of the best experts on this subject based on the ideXlab platform.
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face to face diagnosis vs Telediagnosis of pigmented skin tumors
2013Co-Authors: Domenico Piccolo, J Smolle, Ingrid H Wolf, Ketty Peris, Rainer Hofmannwellenhof, Marco Burroni, Sergio Chimenti, H Kerl, Peter H SoyerAbstract:Background: Teledermoscopy uses telecommunication technologies to transfer images of pigmented skin lesions, including clinical and anamnestic data, via email to specialized centers for teleconsultation. Design: Sixty-six pigmented skin lesions examined on a face-to-face basis in a skin lesion clinic in L’Aquila, Italy, were sent via e-mail on a standard-resolution color monitor for consultation at a university dermatology department in Graz, Austria. Intervention: Digital photographs of the clinical and dermoscopic images of all pigmented tumors were taken with a stereomicroscope connected to a high-resolution video camera in Truevision advanced graphic array (Targa) format file and converted successively into a Joint Photographic Expert Group (JPEG) format file. All lesions were excised surgically and diagnosed histopathologically. Main Outcome Measure: Diagnostic concordance between face-to-face diagnosis and Telediagnosis.
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face to face diagnosis vs Telediagnosis of pigmented skin tumors a teledermoscopic study
Archives of Dermatology, 1999Co-Authors: Domenico Piccolo, J Smolle, Ingrid H Wolf, Ketty Peris, Rainer Hofmannwellenhof, G Delleva, Marco Burroni, Sergio Chimenti, H Kerl, H P SoyerAbstract:Background Teledermoscopy uses telecommunication technologies to transfer images of pigmented skin lesions, including clinical and anamnestic data, via e-mail to specialized centers for teleconsultation. Design Sixty-six pigmented skin lesions examined on a face-to-face basis in a skin lesion clinic in L'Aquila, Italy, were sent via e-mail on a standard-resolution color monitor for consultation at a university dermatology department in Graz, Austria. Intervention Digital photographs of the clinical and dermoscopic images of all pigmented tumors were taken with a stereomicroscope connected to a high-resolution video camera in Truevision advanced graphic array (Targa) format file and converted successively into a Joint Photographic Expert Group (JPEG) format file. All lesions were excised surgically and diagnosed histopathologically. Main Outcome Measure Diagnostic concordance between face-to-face diagnosis and Telediagnosis. Results The diagnostic concordance was 60 (91%) of 66 cases. The number of correct telediagnoses was lower, but the difference was not statistically significant (Wilcoxon test, P = .10). The accuracy of the telediagnoses was not related to the quality of the images, but highly depended on the level of diagnostic difficulty of a given pigmented skin tumor (Spearman correlation, P = .01). Conclusion Teleconsultation of clinical and dermoscopic images of skin tumors via e-mail provides a similar degree of diagnostic accuracy as face-to-face diagnosis.
Jean-christophe Lapayre - One of the best experts on this subject based on the ideXlab platform.
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repro a new reduction expansion protocol to increase the performance of image transmission in medical Telediagnosis platforms
Biomedical Engineering: Applications Basis and Communications, 2015Co-Authors: Hedi Amri, Jean-christophe Lapayre, Fouad Hanna, A KhalfallahAbstract:Despite their frequent use in our daily life, the expansion and reduction of images are among the least studied research areas in the literature. That is why the present research paper undertakes the study of the different techniques used for reducing and enlarging images, whose combination will be a new protocol (REPro) for the transmission of medical images. The proposed approach consists in reducing the image when sent and enlarging it when received, which allows for consumption saving of the bandwidth allocated to the diagnostics service. To do so, the performance of our new protocol was tested for the transfer of scars images (color images) and ultrasound images (grayscale images) in terms of the resemblance between the original image, on one hand, and the reduced and then enlarged one, on the other hand.
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A Tool for Telediagnosis of Cardiovascular Diseases in a Collaborative and Adaptive Approach
Journal of Universal Computer Science, 2013Co-Authors: Maria Aydee Sanchez Santana, Jean-baptiste Aupet, Marie-laure Betbeder, Jean-christophe Lapayre, Antonio CamarenaAbstract:In this paper, we present a new Telediagnosis environment for the detection of cardiovascular problems. This tool, called VACODIS (VAscular COllaborative Telediagnosis), allows practitioners to semi-automatically identify and quantify a patient's potential cardiovascular complications. The system generates first-time automatic detection of cardiovascular abnormalities using Doppler ultrasound images. The system then provides remote collaborative sharing of this information among different doctors to allow distance telediagnostics. With this new system, different actors in the field of medicine (nurses, practitioners, etc.) will be able to contribute to a more reliable diagnosis in the cardiovascular domain.
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Scars Collaborative Telediagnosis Platform Using Adaptive Image Flow
ICAE Integrated Computer-Aided Engineering, 2013Co-Authors: Rami Kassab, Jean-baptiste Aupet, Jean-christophe Lapayre, Franck Marzani, Christian PieralliAbstract:Telemedicine has been developed to allow practitioners to remotely connect with patients and with other medical staff.We propose a new system (hardware and software), named DICODERM (COllaborative DIagnosis of DERMatosis), which makes it possible to monitor the evolution of scars after the excision of a tumorous dermatosis (like melanoma). The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: anatomic with a white light image and functional with a fluorescence image (using autofluorescence from the protoporphyrin within the cancer cell). The software part is composed of two components: the image stitching component, and the collaborative/adaptive layer component. Our system creates a panoramic view of these scars obtained by stitching a sequence of small images. We conducted experiments for different image stitching algorithms to define the best solution. We also deployed a second component: a collaborative system layer which allows to remotely share images of scars and to adapt these images. We also made the system adaptive to communicate across different client platforms. We conducted experiments to compare the exchange of images with or without adaptation: these tests showed the efficiency of our layer.
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adaptive collaborative environment for vascular problems Telediagnosis
International Workshop on Ambient Assisted Living, 2012Co-Authors: Maria Aydee Sanchez Santana, Jean-baptiste Aupet, Marie-laure Betbeder, Jean-christophe Lapayre, Jose Antonito Camarena IbarrolaAbstract:The goal of this paper is to present a distributed tool for the medical community. This tool is called VACODIS (VAscular COllaborative Telediagnosis) enables to identification and quantification of the potential cardiovascular complications of a patient in a semi-automatic way. The first step consists of producing an automatic detection of cardiovascular abnormalities from Echo-Doppler images. The second step shares in a collaborative and adaptive way images and results from the first step. This sharing eases a collaborative diagnosis. Thus, this method enables multiple distant hospital workers (nurses, practitioners …) to contribute to a collaborative diagnosis in the cardiovascular domain.
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adaptative image flow in collaborative medical Telediagnosis environments
Computer Supported Cooperative Work in Design, 2011Co-Authors: Jean-baptiste Aupet, Jean-christophe Lapayre, Rami Kassab, Franck MarzaniAbstract:Telemedicine, the application of telecommunication in the medicine field, has been developed to meet major problems encountered in connecting doctors to collaborate with patients and other medical staff. Having a robust and efficient telemedical system has always been a challenge. The system needs to make the members in different locations capable of sharing medical data efficiently and without errors. In this work, we present a telemedical system that overcomes these challenges. We deploy a collaborative system and adapt data to store, visualize, modify and transfer fluorescence images in real time. We also make the system adaptive to communicate across different client platforms. We conduct experiments comparing our method with traditional collaborative system, and all results confirm our system is over others in terms of efficiency and robustness.
