Academic literature on the topic 'Aid to diagnosis'
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Journal articles on the topic "Aid to diagnosis"
BYRD, L., R. SLADE, and H. MAMTORA. "Adenomyosis: an aid to diagnosis?" Journal of Obstetrics and Gynaecology 23, no. 4 (January 2003): 454. http://dx.doi.org/10.1080/0144361031000122769.
Full textSavage, Neil. "Digital assistants aid disease diagnosis." Nature 573, no. 7775 (September 25, 2019): S98—S99. http://dx.doi.org/10.1038/d41586-019-02870-4.
Full textSHERMAN, CARL. "Manual's Breadth May Aid Diagnosis." Clinical Psychiatry News 34, no. 3 (March 2006): 1–31. http://dx.doi.org/10.1016/s0270-6644(06)71217-6.
Full textBirdsall, Nancy. "Foreign Aid: Diagnosis without Direction." SAIS Review of International Affairs 27, no. 2 (2007): 215–18. http://dx.doi.org/10.1353/sais.2007.0025.
Full textForman, HP, HK Rosenberg, and HM Snyder. "Fractured penis: sonographic aid to diagnosis." American Journal of Roentgenology 153, no. 5 (November 1989): 1009–10. http://dx.doi.org/10.2214/ajr.153.5.1009.
Full textGibbons, W. "New Marker May Aid Alzheimer's Diagnosis." Science News 139, no. 9 (March 2, 1991): 135. http://dx.doi.org/10.2307/3975626.
Full textWatts, Vabren. "Biomarkers May Aid PTSD Diagnosis, Treatment." Psychiatric News 49, no. 24 (December 5, 2014): 1. http://dx.doi.org/10.1176/appi.pn.2014.12b2.
Full textStewart, T. M. "DIAGNOSIS, a Microcomputer-Based Teaching Aid." Plant Disease 76, no. 6 (1992): 644. http://dx.doi.org/10.1094/pd-76-0644.
Full textBlume, E. "Genetic Tests Could Aid Diagnosis, Treatment." JNCI Journal of the National Cancer Institute 80, no. 12 (August 17, 1988): 889–90. http://dx.doi.org/10.1093/jnci/80.12.889.
Full textMECHCATIE, ELIZABETH. "Amyloid Scans May Aid Alzheimer's Diagnosis." Internal Medicine News 42, no. 1 (January 2009): 6. http://dx.doi.org/10.1016/s1097-8690(09)70006-x.
Full textDissertations / Theses on the topic "Aid to diagnosis"
Mutemwa, Muyowa. "A Mobile Deaf-to-hearing communication aid for medical diagnosis." University of the Western Cape, 2011. http://hdl.handle.net/11394/2964.
Full textMany South African Deaf people use their mobile phones for communication with SMSs yet they would prefer to converse in South African Sign Language. Deaf people with a capital `D' are different from deaf or hard of hearing as they primarily use sign language to communicate. This study explores how to design and evaluate a prototype that will allow a Deaf person using SASL to tell a hearing doctor how s/he is feeling and provide a way for the doctor to respond. A computer{based prototype was designed and evaluated with the Deaf people in a previous study. Results from the user trial of the computer{based mock{up indicated that Deaf users would like to see the prototype on a cell phone. Those user trial results, combined with our own user survey results conducted with Deaf people, are used as requirements. We built a prototype for a mobile phone browser by embedding SASL videos inside XHTML pages using Adobe Flash. The prototype asks medical questions using SASL videos. These questions are arranged in an organized way that helps in identifying a medical problem. The answers to the questions are then displayed in English and shown to the doctor on the phone. A content authoring tool was also designed and implemented. The content authoring tool is used for populating the prototype in a context free manner allowing for plug and play scenarios such as a doctor's office, Department of Home A airs or police station. A focus group consisting of Deaf people was conducted to help in the design and pilot trial of the system. A final user trial was conducted with more than thirty Deaf people and the results are presented and analyzed. Data is collected with questionnaires, semi-structured interviews and video recordings. The results indicate that most of the Deaf people found the system easy to learn, easy to navigate through, did not get lost and understood the sign language in the videos on the mobile phone. The hand gestures and facial expressions on the sign language videos were clear. Most of them indicated they would like to use the system for free, and that the system did not ask too many questions. Most of them were happy with the quality of the sign language videos on the mobile phone and would consider using the system in real life. Finally they felt their private information was safe while using the system. Many South African Deaf people use their mobile phones for communication with SMSs yet they would prefer to converse in South African Sign Language. Deaf people with a capital `D' are different from deaf or hard of hearing as they primarily use sign language to communicate. This study explores how to design and evaluate a prototype that will allow a Deaf person using SASL to tell a hearing doctor how s/he is feeling and provide a way for the doctor to respond. A computer{based prototype was designed and evaluated with the Deaf people in a previous study. Results from the user trial of the computer{based mock{up indicated that Deaf users would like to see the prototype on a cell phone. Those user trial results, combined with our own user survey results conducted with Deaf people, are used as requirements. We built a prototype for a mobile phone browser by embedding SASL videos inside XHTML pages using Adobe Flash. The prototype asks medical questions using SASL videos. These questions are arranged in an organized way that helps in identifying a medical problem. The answers to the questions are then displayed in English and shown to the doctor on the phone. A content authoring tool was also designed and implemented. The content authoring tool is used for populating the prototype in a context free manner allowing for plug and play scenarios such as a doctor's office, Department of Home A airs or police station. A focus group consisting of Deaf people was conducted to help in the design and pilot trial of the system. A final user trial was conducted with more than thirty Deaf people and the results are presented and analyzed. Data is collected with questionnaires, semi-structured interviews and video recordings. The results indicate that most of the Deaf people found the system easy to learn, easy to navigate through, did not get lost and understood the sign language in the videos on the mobile phone. The hand gestures and facial expressions on the sign language videos were clear. Most of them indicated they would like to use the system for free, and that the system did not ask too many questions. Most of them were happy with the quality of the sign language videos on the mobile phone and would consider using the system in real life. Finally they felt their private information was safe while using the system.
South Africa
Green, Deborah. "Immunomodulation in metastatic melanoma : an aid to diagnosis and treatment." Thesis, University of London, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518116.
Full textShi, Yangyu. "Infrared Imaging Decision Aid Tools for Diagnosis of Necrotizing Enterocolitis." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40714.
Full textElhawary, Haytham. "MRI compatible mechatronic devices to aid medical diagnosis and intervention." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/11321.
Full textWenzel, Virginia. "Use of electronic health records to aid in pediatric obesity diagnosis." Thesis, Weill Medical College of Cornell University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1601009.
Full textBackground: Obesity has recently been classified by the American Medical Association (AMA) as a disease which, if unrecognized and unaddressed in childhood, causes multiple medical and psychological complications that can impact both personal and population health. Unprecedented funding is being invested in electronic health records to improve quality, safety, and delivery of healthcare and reduce healthcare costs. Scant literature has evaluated the use of aids in the electronic health record (EHR) to identify obesity.
Objectives: The purpose of this study was to determine to what extent the tools available in an EHR for automatic Body Mass Index (BMI) calculation based on height and weight documentation are used by pediatricians to correctly identify obesity in children. Secondary objectives were to evaluate quality of data input (discrete vs. free text) and see if there is any variation in rates of identification among patients of different socio-demographic characteristics and trainees of different levels.
Methods: We conducted a retrospective chart review for patients aged 2–18 years seen for a well-child visit at New York Presbyterian Hospital between January 2011 and January 2014, where it is standard practice at these visits to take height and weight measurements. The EHR automatically populates these values onto growth curves, converting them into BMI with percentiles. Standardized definitions from the Centers for Disease Control and Prevention (CDC) 2010 were used to qualify overweight and obese based on BMI. We determined the percentage of patients who were overweight or obese (based on CDC percentiles) that had the diagnosis identified by the pediatrician, and then assessed the quality of data input. We assessed laboratory follow up and referrals for all patients, and assessed for demographic differences among patients properly and not properly documented by providers as obese or overweight.
Results: We reviewed 700 charts in total. Inclusion criteria were all of the patients who had a BMI between 85–95% (these were grouped as overweight) and a BMI over 95% (obese). 209 patients were overweight or obese and therefore eligible for inclusion. Of the 209 clinically overweight/obese children, 72.2% had some form of documentation of this diagnosis, although the diagnosis was documented more often in the obese vs. overweight child. The diagnosis was most often captured electronically in the free text progress note. Over half of clinically overweight/obese children aged ≥8 years did not receive follow-up standard laboratory testing, and only about one-quarter of clinically overweight/obese children had documented in-office nutrition guidance. Diagnosis of overweight was higher in females, but it was almost twice as likely that an obese male would be documented as such. Results showed no identification variation based on age or race/ethnicity. There was no difference in recognition of obesity/overweight based on postgraduate year (PGY) or nurse practitioner (NP) status.
Conclusion: Despite its importance as a public health priority for children, automatic calculation of BMI by use of an EHR led to documentation by a provider as a child being overweight/obese only three quarters of the time. This study suggests that despite increasing focus on using EHRs to improve individual and population health, including for obesity, clinical decision support remains underutilized.
Tehrani, Hamid. "Can the SIAscope aid in the diagnosis of non-melanoma skin cancer?" Thesis, University of East Anglia, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430601.
Full textNewman, Hannah. "Reimagining autism : how drama environments can aid the diagnosis and understanding of autism." Thesis, University of Kent, 2018. https://kar.kent.ac.uk/69565/.
Full textCarey, Duane Owen. "The development of novel adjuncts to aid in the diagnosis of Epithelial Misplacement." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/8425.
Full textMaynard, S. J. "Use of body surface mapping to aid the diagnosis of myocardial infarction and ischaemia." Thesis, Queen's University Belfast, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368624.
Full textFerris, Patrick James. "Development of a rapid method to aid in the diagnosis of catheter-associated infections." Thesis, University of Surrey, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.288642.
Full textBooks on the topic "Aid to diagnosis"
Dowie, Susanna. Acupuncture: An aid to differential diagnosis. Edinburgh: Churchill Livingstone/Elsevier, 2009.
Find full textLorna, Wing. Autistic spectrum disorders: An aid to diagnosis. 3rd ed. London: National Autistic Society, 1995.
Find full textLorna, Wing. Autistic continuum disorders: An aid to diagnosis. 3rd ed. London: National Autistic Society, 1993.
Find full textAllen, W. Maurice. Veterinary laboratory data: An aid to clinical diagnosis. 2nd ed. [London]: BVA Publications, 1990.
Find full textJ, Ryder R. E., and Wellings R. M, eds. An aid to radiology for the MRCP. Osney Mead, Oxford: Blackwell Science, 2000.
Find full textAn aid to diagnosis in surgery: A practical manual for medical students. Oxford: Butterworth-Heinemann, 1995.
Find full textA, Freeman E., and Mir M. A, eds. An aid to the MRCP short cases. Oxford: Blackwell Scientific, 1986.
Find full textA, Mir M., and Freeman E. A, eds. An aid to the MRCP short cases. 2nd ed. Oxford: Blackwell Science, 1999.
Find full textMaltby, Maryanne Tate. Principles of hearing aid audiology. 2nd ed. London: Whurr, 2002.
Find full textMaltby, Maryanne Tate. Principles of hearing aid audiology. London: Chapman & Hall, 1994.
Find full textBook chapters on the topic "Aid to diagnosis"
Hedges, Stephanie. "Behavioural first aid." In Practical canine behaviour: for veterinary nurses and technicians, 234–40. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789246810.0017.
Full textFranz, Ingomar-Werner. "Ergometry as an Aid to Diagnosis." In Ergometry in Hypertensive Patients, 15–115. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-70372-0_2.
Full textHan, Chang-Min, Soo-Yung Yang, Heeteak Ceong, and Jeong-Seon Park. "Clinical Sign-Based Fish Disease Diagnosis Aid System." In Electrical Engineering and Control, 1039–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_129.
Full textKo, Dong-Gyun, Youkyoung Park, Yoochan Kim, Juyoun Kim, and Wan Chul Yoon. "Cognitive-Task-Based Information Aid Design for Clinical Diagnosis." In AI 2016: Advances in Artificial Intelligence, 332–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50127-7_28.
Full textShukla, Akanksha, Shivani Agarwal, Nandita Goyal, and Kartikeya Patel. "Disease diagnosis with instant first aid and medicine recommender." In Advances in AI for Biomedical Instrumentation, Electronics and Computing, 147–52. London: CRC Press, 2024. http://dx.doi.org/10.1201/9781032644752-28.
Full textIrthum, B., J. Chazal, M. Mohr, A. M. Georget, and P. Janny. "Evaluation of Stereotactic Biopsy as an aid to the Management of Supratentorial Tumors:." In Brain Oncology Biology, diagnosis and therapy, 301–4. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3347-7_53.
Full textLee, Gwo-Chin, and Raymond H. Kim. "Intraoperative Tests to Aid in Diagnosis of Periprosthetic Joint Infection." In Periprosthetic Joint Infection of the Hip and Knee, 79–83. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7928-4_6.
Full textMcMaster, Dorothy, M. E. Callender, and A. H. E. Love. "Metal Analysis of Human Liver as an Aid to Diagnosis." In Trace Elements in Man and Animals 6, 439–41. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-0723-5_152.
Full textHarrison, Robert F., Stephen J. Marshall, and R. Lee Kennedy. "A Connectionist Aid to the Early Diagnosis of Myocardial Infarction." In AIME 91, 119–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-48650-0_9.
Full textde Sousa, Rogério Adriano, Ana Carolina Mieko Omoto, Rubens Fazan Junior, and Joaquim Cezar Felipe. "Automatic Processing of Histological Imaging to Aid Diagnosis of Cardiac Remodeling." In Advances in Intelligent Systems and Computing, 375–82. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40690-5_37.
Full textConference papers on the topic "Aid to diagnosis"
Moradi, Mehdi, KenC L. Wong, Alexandros Karargyris, and Tanveer Syeda-Mahmood. "Quality controlled segmentation to aid disease detection." In Computer-Aided Diagnosis, edited by Horst K. Hahn and Maciej A. Mazurowski. SPIE, 2020. http://dx.doi.org/10.1117/12.2549426.
Full textCarvalho, Joao Paulo, Nuno Horta, and Jose A. B. Tome. "Fuzzy Boolean Nets Based Paediatrics First Aid Diagnosis." In NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2007. http://dx.doi.org/10.1109/nafips.2007.383916.
Full textBoucherk, Kahina, Zohra Ameur, and Mai Khuong Nguyen. "Aid to the medical diagnosis by retinal analysis." In 2016 5th International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2016. http://dx.doi.org/10.1109/icmcs.2016.7905529.
Full textGavalis, Robb M., Hua Xing, Peter Y. Wong, Lothar Lilge, and Caroline G. L. Cao. "Design of a Navigational Aid for Colonoscopy." In ASME 2008 3rd Frontiers in Biomedical Devices Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/biomed2008-38060.
Full textGhosh, Pramit, Debotosh Bhattacharjee, Mita Nasipuri, and Dipak Kumar Basu. "Automatic White Blood Cell Measuring Aid for Medical Diagnosis." In 2011 International Conference on Process Automation, Control and Computing (PACC). IEEE, 2011. http://dx.doi.org/10.1109/pacc.2011.5978895.
Full textFloyd, Jr., Carey E., Joseph Y. Lo, and Georgia D. Tourassi. "Case-based reasoning as a computer aid to diagnosis." In Medical Imaging '99, edited by Kenneth M. Hanson. SPIE, 1999. http://dx.doi.org/10.1117/12.348603.
Full textBottier, Mathieu, Andreia Lucia Do Nascimento Pinto, Britt J. Van Akker, Oliver Hamilton, Ioannis Katramados, Amelia Shoemark, Claire Hogg, and Thomas Burgoyne. "PCD-AID: artificial intelligence diagnosis of primary ciliary dyskinesia." In ERS International Congress 2023 abstracts. European Respiratory Society, 2023. http://dx.doi.org/10.1183/13993003.congress-2023.pa2279.
Full textFeng, Jianqiang, Jiafang Shan, and Mao Wang. "A Fault Diagnosis Expert System for LHCD System on EAST." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29346.
Full textKhan, Mohammed Amaan Ahmed, G. Senthil Kumar, and Rohan Rony Varughese. "CNN-Based Covid-19 Severity Detection and it’s Diagnosis." In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-61u85e.
Full textDAY, P., and M. HOOK. "An AI-based fault diagnosis aid for complex electronic systems." In Digital Avionics Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-4026.
Full textReports on the topic "Aid to diagnosis"
Peterson, Bradley S., Joey Trampush, Margaret Maglione, Maria Bolshakova, Morah Brown, Mary Rozelle, Aneesa Motala, et al. ADHD Diagnosis and Treatment in Children and Adolescents. Agency for Healthcare Research and Quality (AHRQ), March 2024. http://dx.doi.org/10.23970/ahrqepccer267.
Full textBeshouri. PR-309-11202-R01 Field Demonstration Test of Advanced Engine and Compressor Diagnostics for CORE. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2013. http://dx.doi.org/10.55274/r0010569.
Full textMiller, Kaleigh. US Guided Management of Undifferentiated Dyspneic Patient in the ED. University of Tennessee Health Science Center, March 2020. http://dx.doi.org/10.21007/com.lsp.2020.0001.
Full textMahmoudi, Farhad, Mahtab Mokarram, Sadegh Sabouhi, Sara Hashemi, Parastoo Saberi, and Hadi Zamanian. Application of digital health for improving medication adherence in MS patients. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0058.
Full textA. Hadad, Majd, Mohammad S. Mallick, Alam A. Shafi, and Abdullah Badughaish. Cervical Thymic Cyst: A Unique Case Report with Related Embryogenesis. Science Repository, January 2023. http://dx.doi.org/10.31487/j.jscr.2022.02.05.
Full textBeshouri, Greg, and Bob Goffin. PR-309-15209-R01 Evaluation of NSCR Specific Models for Use in CEPM. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), January 2019. http://dx.doi.org/10.55274/r0011554.
Full textWANG, MIN, Sheng Chen, Changqing Zhong, Tao Zhang, Yongxing Xu, Hongyuan Guo, Xiaoying Wang, Shuai Zhang, Yan Chen, and Lianyong Li. Diagnosis using artificial intelligence based on the endocytoscopic observation of the gastrointestinal tumours: a systematic review and meta-analysis. InPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2023. http://dx.doi.org/10.37766/inplasy2023.2.0096.
Full textSun, Lina, Yanan Han, Hua Wang, Huanyu Liu, Shan Liu, Hongbin Yang, Xiaoxia Ren, and Ying Fang. MicroRNAs as Potential Biomarkers for the Diagnosis of Inflammatory Bowel Disease: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0027.
Full textZanker. PR-343-06604-R02 Smart USM Diagnostics - Phase 2. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2009. http://dx.doi.org/10.55274/r0010758.
Full textLico, Matilde, Giancarlo Gismondo Velardi, Rachele Lazzeroni, Angela Teti, Ilaria V. Trecroci, Rosario Maccarone, Letterio Militano, et al. Acute Appendicitis with Retroperitoneal Ectopic Location from Ascending Colon. Science Repository, April 2024. http://dx.doi.org/10.31487/j.jscr.2024.01.04.
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