Summary: A cellular phone with advanced computing and connectivity capability built on an operating system.

Top Publications

  1. Atchley P, Strayer D. Small Screen Use and Driving Safety. Pediatrics. 2017;140:S107-S111 pubmed publisher
    ..Given the safety risks, it is recommended that parents, the public, and regulators take a stand against the use of Internet-enabled small screens unrelated to driving when the vehicle is in motion...
  2. Kaiqi Su -, Quchao Zou -, Ning Hu -, Ping Wang -. High-sensitive and high-efficient biochemical analysis method using a bionic electronic eye in combination with a smartphone-based colorimetric reader system. Conf Proc IEEE Eng Med Biol Soc. 2015;2015:7720-3 pubmed publisher
    Bionic electronic eye (Bionic e-Eye), a developed smartphone-based colorimetric reader system, consists of smartphone or pad (iPhone 4s or iPad 3) as detection instrument and portable accessory as illumination provider, integrating with a ..
  3. Fletcher R, Kay Lambkin F, May C, Oldmeadow C, Attia J, Leigh L. Supporting men through their transition to fatherhood with messages delivered to their smartphones: a feasibility study of SMS4dads. BMC Public Health. 2017;17:953 pubmed publisher
    ..The present study aimed to explore whether smartphone technology could be used to address fathers' needs across their transition to fatherhood...
  4. Antonise Kamp L, Beaujean D, Crutzen R, van Steenbergen J, Ruwaard D. Prevention of tick bites: an evaluation of a smartphone app. BMC Infect Dis. 2017;17:744 pubmed publisher
  5. Spitzer M. The Era of "Digital Colposcopy" Will Be Here Soon. J Low Genit Tract Dis. 2015;19:273-4 pubmed publisher
  6. Green B. BP here, there, and everywhere--mobile health applications (apps) and hypertension care. J Am Soc Hypertens. 2015;9:137-9 pubmed publisher
  7. Pellanda E, Pellanda L. Primordial Prevention and Wearable Health Devices: The Wearables in Cardiology. Arq Bras Cardiol. 2016;106:455-6 pubmed publisher
  8. Perski O, Blandford A, Ubhi H, West R, Michie S. Smokers' and drinkers' choice of smartphone applications and expectations of engagement: a think aloud and interview study. BMC Med Inform Decis Mak. 2017;17:25 pubmed publisher
    ..the National Institutes of Health in the United States provide access to online libraries of publicly endorsed smartphone applications (apps); however, there is little evidence that users rely on this guidance...
  9. Kanakasabapathy M, Sadasivam M, Singh A, Preston C, Thirumalaraju P, Venkataraman M, et al. An automated smartphone-based diagnostic assay for point-of-care semen analysis. Sci Transl Med. 2017;9: pubmed publisher
    ..We describe the development and clinical testing of an automated smartphone-based semen analyzer designed for quantitative measurement of sperm concentration and motility for point-of-care ..

More Information


  1. Walker U, Mueller R, Jaeger V, Theiler R, Forster A, Dufner P, et al. Disease activity dynamics in rheumatoid arthritis: patients' self-assessment of disease activity via WebApp. Rheumatology (Oxford). 2017;56:1707-1712 pubmed publisher
    ..of RA disease activity in terms of Routine Assessment of Patient Index Data (RAPID) scores via a Web-based smartphone application (WebApp)...
  2. Gauld C, Lewis I, White K, Fleiter J, Watson B. Evaluating public education messages aimed at monitoring and responding to social interactive technology on smartphones among young drivers. Accid Anal Prev. 2017;104:24-35 pubmed publisher
    ..g., Facebook, E-mail) on a smartphone while driving...
  3. Upton J, Olsson Brown A, Marshall E, Sacco J. Using QR codes to enable quick access to information in acute cancer care. Br J Nurs. 2017;26:S4-S12 pubmed publisher
    ..Patient-held alert cards are widely used for patients receiving anti-cancer treatment, and this established standard of care has been modified to enable rapid access of information through the incorporation of a QR code. ..
  4. Ferreira J, Carvalho E, Ferreira B, de Souza C, Suhara Y, Pentland A, et al. Driver behavior profiling: An investigation with different smartphone sensors and machine learning. PLoS ONE. 2017;12:e0174959 pubmed publisher
    ..This paper presents an investigation with different Android smartphone sensors, and classification algorithms in order to assess which sensor/method assembly enables classification ..
  5. Zilberstein G, Zilberstein R, Zilberstein S, Maor U, Baskin E, Zhang S, et al. A miniaturized sensor for detection of formaldehyde fumes. Electrophoresis. 2017;38:2168-2174 pubmed publisher
    ..The sensor is worn as a bracelet and the data acquired are transferred via a Bluetooth channel to a smartphone. A dedicated software transforms the signal from a grey to a color scale...
  6. Cook P, Schmiege S, Starr W, Carrington J, Bradley Springer L. Prospective State and Trait Predictors of Daily Medication Adherence Behavior in HIV. Nurs Res. 2017;66:275-285 pubmed publisher
    ..Using a smartphone, 87 PLWH completed randomly cued daily surveys on thoughts, mood, stress, coping, social support, and treatment ..
  7. Matar Boumosleh J, Jaalouk D. Depression, anxiety, and smartphone addiction in university students- A cross sectional study. PLoS ONE. 2017;12:e0182239 pubmed publisher
    The study aims to assess prevalence of smartphone addiction symptoms, and to ascertain whether depression or anxiety, independently, contributes to smartphone addiction level among a sample of Lebanese university students, while adjusting ..
  8. Jung Y, Kim J, Awofeso O, Kim H, Regnier F, Bae E. Smartphone-based colorimetric analysis for detection of saliva alcohol concentration. Appl Opt. 2015;54:9183-9 pubmed publisher
    ..We provide objective and accurate determination of saliva alcohol concentrations using smartphone-based colorimetric imaging...
  9. Haussen D, Doppelheuer S, Schindler K, Grossberg J, Bouslama M, Schultz M, et al. Utilization of a Smartphone Platform for Electronic Informed Consent in Acute Stroke Trials. Stroke. 2017;48:3156-3160 pubmed publisher
    ..We aim to describe the novel application of smartphone electronic informed consenting (e-Consent) in trials of cerebral thrombectomy...
  10. Yang X, Wang Y, Liu W, Zhang Y, Zheng F, Wang S, et al. A portable system for on-site quantification of formaldehyde in air based on G-quadruplex halves coupled with A smartphone reader. Biosens Bioelectron. 2016;75:48-54 pubmed
    A portable colorimetric determination system based on G-quadruplex DNAzyme integrated with a smartphone was developed to quantitatively detect formaldehyde (FA)...
  11. Lodermeier M, Byrne K, Flegel W. Red blood cell sedimentation of Apheresis Granulocytes. Transfusion. 2017;57:2551-2552 pubmed publisher
    ..This video was filmed with a single smart phone attached to a commercial tripod and was edited on a tablet computer with free software by an amateur videographer without prior video experience. ..
  12. Davis D, Logsdon M, Vogt K, Rushton J, Myers J, Lauf A, et al. Parent Education is Changing: A Review of Smartphone Apps. MCN Am J Matern Child Nurs. 2017;42:248-256 pubmed publisher
    ..It is critical that consumers and interdisciplinary professionals be involved in the early design phase of the product to ensure that the end product is acceptable and usable and that it will lead to healthy behaviors. ..
  13. Pauwels K, Aerts S, Muijzers E, De Jaegere E, Van Heeringen K, Portzky G. BackUp: Development and evaluation of a smart-phone application for coping with suicidal crises. PLoS ONE. 2017;12:e0178144 pubmed publisher
    ..Due to their omnipresence, smartphone apps can offer suicide prevention tools very fast, they are easily-accessible, low-threshold and can help ..
  14. Khoury J, de Freitas A, Roque M, Albuquerque M, das Neves M, Garcia F. Assessment of the accuracy of a new tool for the screening of smartphone addiction. PLoS ONE. 2017;12:e0176924 pubmed publisher
    To translate, adapt and validate the Smartphone Addiction Inventory (SPAI) in a Brazilian population of young adults. We employed the translation and back-translation method for the adaptation of the Brazilian version SPAI (SPAI-BR)...
  15. Tarver C, Pusey M. A low-cost method for visible fluorescence imaging. Acta Crystallogr F Struct Biol Commun. 2017;73:657-663 pubmed publisher
    ..An emission filter was used for the imaging of protein crystals labeled with CR and crystals with two-color fluorescence. This approach can also be used with microscopy systems commonly used to observe crystallization plates...
  16. Kong K, Zhang L, Huang L, Tao Y. Validity and practicability of smartphone-based photographic food records for estimating energy and nutrient intake. Asia Pac J Clin Nutr. 2017;26:396-401 pubmed publisher
    ..This study tested the validity of a smartphone-based photographic food recording approach by comparing the results obtained with those of a weighed food record...
  17. Patel R, Sulzberger L, Li G, Mair J, Morley H, Shing M, et al. Smartphone apps for weight loss and smoking cessation: Quality ranking of 120 apps. N Z Med J. 2015;128:73-6 pubmed
  18. Nath N, Akhavian R, Behzadan A. Ergonomic analysis of construction worker's body postures using wearable mobile sensors. Appl Ergon. 2017;62:107-117 pubmed publisher
    ..In this paper, a low-cost ubiquitous approach is presented and validated which deploys built-in smartphone sensors to unobtrusively monitor workers' bodily postures and autonomously identify potential work-related ..
  19. Eagleson R, Altamirano Diaz L, McInnis A, Welisch E, De Jesus S, Prapavessis H, et al. Implementation of clinical research trials using web-based and mobile devices: challenges and solutions. BMC Med Res Methodol. 2017;17:43 pubmed publisher
  20. Vianello A, Chittaro L, Burigat S, Budai R. MotorBrain: A mobile app for the assessment of users' motor performance in neurology. Comput Methods Programs Biomed. 2017;143:35-47 pubmed publisher
    ..A sample of healthy participants (N=?133) carried out the motor tests using MotorBrain on a smartphone. Participants were split into two groups (Young, Old) based on their age (less than or equal to 30 years, ..
  21. Götz F, Stieger S, Reips U. Users of the main smartphone operating systems (iOS, Android) differ only little in personality. PLoS ONE. 2017;12:e0176921 pubmed publisher
    ..Focusing on Big Five personality traits in a broader scope, in addition to smartphone users, Study 2 also examined users of the main computer operating systems (i.e., Mac OS, Windows)...
  22. Attwood S, Parke H, Larsen J, Morton K. Using a mobile health application to reduce alcohol consumption: a mixed-methods evaluation of the drinkaware track & calculate units application. BMC Public Health. 2017;17:394 pubmed publisher
    b>Smartphone applications ("apps") offer promise as tools to help people monitor and reduce their alcohol consumption...
  23. Keitel K, Kagoro F, Samaka J, Masimba J, Said Z, Temba H, et al. A novel electronic algorithm using host biomarker point-of-care tests for the management of febrile illnesses in Tanzanian children (e-POCT): A randomized, controlled non-inferiority trial. PLoS Med. 2017;14:e1002411 pubmed publisher
  24. Nogueira R, Silva G, Lima F, Yeh Y, Fleming C, Branco D, et al. The FAST-ED App: A Smartphone Platform for the Field Triage of Patients With Stroke. Stroke. 2017;48:1278-1284 pubmed publisher
    ..We sought to describe a new smartphone freeware application designed to assist Emergency Medical Services professionals with the field assessment and ..
  25. Pendergast F, Ridgers N, Worsley A, McNaughton S. Evaluation of a smartphone food diary application using objectively measured energy expenditure. Int J Behav Nutr Phys Act. 2017;14:30 pubmed publisher
    Dietary assessment methods are limited in their ability to adequately measure food and beverage consumption. Smartphone applications may provide a novel method of dietary assessment to capture real-time food intake and the contextual ..
  26. Bert F, Gualano M, Clemente S, Villa G, Siliquini R. [Technology and prevention in the era of mobile health: applications for cancer screening programs]. Ig Sanita Pubbl. 2017;73:13-27 pubmed
    ..The aim of this study was to analyze the features and functions of smartphone applications aimed at secondary prevention of oncological diseases...
  27. Hadar A, Hadas I, Lazarovits A, Alyagon U, Eliraz D, Zangen A. Answering the missed call: Initial exploration of cognitive and electrophysiological changes associated with smartphone use and abuse. PLoS ONE. 2017;12:e0180094 pubmed publisher
    b>Smartphone usage is now integral to human behavior. Recent studies associate extensive usage with a range of debilitating effects...
  28. Khare R, Good B, Leaman R, Su A, Lu Z. Crowdsourcing in biomedicine: challenges and opportunities. Brief Bioinform. 2016;17:23-32 pubmed publisher
    ..Finally, we identify important emerging trends, opportunities and remaining challenges for future crowdsourcing research in biomedicine. ..
  29. Cheffena M. Fall Detection Using Smartphone Audio Features. IEEE J Biomed Health Inform. 2016;20:1073-80 pubmed publisher
    An automated fall detection system based on smartphone audio features is developed...
  30. Lu Y, Lee L, Chen Y, Cheng H, Tsai W, Kuo C, et al. Developing an App by Exploiting Web-Based Mobile Technology to Inspect Controlled Substances in Patient Care Units. Biomed Res Int. 2017;2017:3195369 pubmed publisher
    ..Using a web-enabled smartphone, pharmacist inspection can be performed on site and the inspection result can be directly recorded into HIS ..
  31. Taylor J, Stout J, de Greef L, Goel M, Patel S, Chung E, et al. Use of a Smartphone App to Assess Neonatal Jaundice. Pediatrics. 2017;140: pubmed publisher
    ..was to assess the accuracy of a technology based on the analysis of digital images of newborns obtained using a smartphone application called BiliCam...
  32. Barrantes S, Sánchez Egea A, González Rojas H, Marti M, Compta Y, Valldeoriola F, et al. Differential diagnosis between Parkinson's disease and essential tremor using the smartphone's accelerometer. PLoS ONE. 2017;12:e0183843 pubmed publisher
    ..We considered that using smartphone's accelerometer to stablish a diagnostic test based on time-frequency differences between PD an ET could support ..
  33. Pahlevan N, Rinderknecht D, Tavallali P, Razavi M, Tran T, Fong M, et al. Noninvasive iPhone Measurement of Left Ventricular Ejection Fraction Using Intrinsic Frequency Methodology. Crit Care Med. 2017;45:1115-1120 pubmed publisher
    ..The measurements require no training to perform or interpret, no calibration, and can be repeated at the bedside to generate almost continuous analysis of left ventricular ejection fraction without arterial cannulation. ..
  34. Morawski K, Ghazinouri R, Krumme A, McDonough J, Durfee E, Oley L, et al. Rationale and design of the Medication adherence Improvement Support App For Engagement-Blood Pressure (MedISAFE-BP) trial. Am Heart J. 2017;186:40-47 pubmed publisher
    ..b>Smartphone-based applications that remind patients to take their medications, provide education, and allow for social ..
  35. Liu Y, Varier I, Ongkasuwan J. Use of Audiometric Measurement for Assessment of Vocal-Fold Function in Postextubation Infants. JAMA Otolaryngol Head Neck Surg. 2017;143:908-911 pubmed publisher
    ..Noxious stimuli, especially in neonates in the cardiovascular intensive care unit, may cause imbalance between the pulmonary and systemic circulations and potentially circulatory collapse...
  36. Alsafi Z, Hameed Y, Amin P, Shamsad S, Raja U, Alsafi A, et al. Assessing the effects of manual dexterity and playing computer games on catheter-wire manipulation for inexperienced operators. Clin Radiol. 2017;72:795.e1-795.e5 pubmed publisher
    ..Their manual dexterity was measured using a smartphone game. They were then shown a video clip demonstrating renal artery cannulation and were asked to reproduce this...
  37. Nadal R, Lellis Santos C. Using smartphones to learn exercise physiology. Med Educ. 2015;49:1162-3 pubmed publisher
  38. Rosencrans L, Sume G, Kouontchou J, Voorman A, Anokwa Y, Fezeu M, et al. Mapping for Health in Cameroon: Polio Legacy and Beyond. J Infect Dis. 2017;216:S337-S342 pubmed publisher
  39. York Cornwell E, Cagney K. Aging in Activity Space: Results From Smartphone-Based GPS-Tracking of Urban Seniors. J Gerontol B Psychol Sci Soc Sci. 2017;72:864-875 pubmed publisher
    ..Variation in characteristics of activity spaces may be an underexplored source of differences in health and well-being during later life. ..
  40. Ernsting C, Dombrowski S, Oedekoven M, O Sullivan J, Kanzler M, Kuhlmey A, et al. Using Smartphones and Health Apps to Change and Manage Health Behaviors: A Population-Based Survey. J Med Internet Res. 2017;19:e101 pubmed publisher
    ..The aim of this study was to explore (1) the extent of smartphone and health app use, (2) sociodemographic, medical, and behavioral correlates of smartphone and health app use, ..
  41. Widmer R, Allison T, Lennon R, Lopez Jimenez F, Lerman L, Lerman A. Digital health intervention during cardiac rehabilitation: A randomized controlled trial. Am Heart J. 2017;188:65-72 pubmed publisher
    ..The DHI incorporated an online and smartphone-based CR platform asking the patients to report of dietary and exercise habits throughout CR as well as ..
  42. Gluck S, Summers M, Goddard T, Andrawos A, Smith N, Lange K, et al. Wide Disagreement Between Alternative Assessments of Premorbid Physical Activity: Subjective Patient and Surrogate Reports and Objective Smartphone Data. Crit Care Med. 2017;45:e1036-e1042 pubmed publisher
    ..It may be possible to extract objective data from a patient's smartphone, specifically, step and global position system data, to quantify physical activity...
  43. Janssen M, Scheerder J, Thibaut E, Brombacher A, Vos S. Who uses running apps and sports watches? Determinants and consumer profiles of event runners' usage of running-related smartphone applications and sports watches. PLoS ONE. 2017;12:e0181167 pubmed publisher
    ..there has been an exponential increase in the availability and use of electronic monitoring devices such as smartphone applications (apps) and sports watches...
  44. Caramia C, Bernabucci I, D Anna C, De Marchis C, Schmid M. Gait parameters are differently affected by concurrent smartphone-based activities with scaled levels of cognitive effort. PLoS ONE. 2017;12:e0185825 pubmed publisher
    ..The aim of this study is to examine the effect of different smartphone activities on walking, evaluating the variations of several gait parameters...
  45. Jibb L, Stevens B, Nathan P, Seto E, Cafazzo J, Johnston D, et al. Implementation and preliminary effectiveness of a real-time pain management smartphone app for adolescents with cancer: A multicenter pilot clinical study. Pediatr Blood Cancer. 2017;64: pubmed publisher
    ..The Pain Squad+ smartphone app, which provides adolescents with real-time pain self-management support, was developed to address this issue...
  46. Wenting S, Samin M, Sanjay S, Neelam K, Shibli K, Chang S, et al. A comparison of undergraduate clinical ophthalmology learning methods: smart phone television display versus slit-lamp teaching telescope. Can J Ophthalmol. 2017;52:385-391 pubmed publisher
    ..It offers specific practical advantages in teaching medical students over the traditional SLTT. ..
  47. Cohen A, Zimmerman F, Prelip M, Glik D. A Smartphone Application to Reduce Time-to-Notification of Sexually Transmitted Infections. Am J Public Health. 2017;107:1795-1800 pubmed publisher
    To measure whether the implementation of Healthvana-an online patient engagement platform and smartphone application-reduced the number of days between sexually transmitted infection (STI) testing, notification, and treatment at AIDS ..
  48. McCabe C, McCann M, Brady A. Computer and mobile technology interventions for self-management in chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2017;5:CD011425 pubmed publisher
    ..Researchers should provide clear information on how self-management is assessed and should include longitudinal measures that allow comment on behavioural change. ..
  49. Nicholas J, Fogarty A, Boydell K, Christensen H. The Reviews Are in: A Qualitative Content Analysis of Consumer Perspectives on Apps for Bipolar Disorder. J Med Internet Res. 2017;19:e105 pubmed publisher
    ..However, this expectation is incompatible with current mHealth funding structures. ..
  50. Choi J, Rho M, Kim Y, Yook I, Yu H, Kim D, et al. Smartphone dependence classification using tensor factorization. PLoS ONE. 2017;12:e0177629 pubmed publisher
    Excessive smartphone use causes personal and social problems. To address this issue, we sought to derive usage patterns that were directly correlated with smartphone dependence based on usage data...
  51. Gadzhiev N, Brovkin S, Grigorev V, Dmitriev V, Malkhasyan V, Shkarupa D, et al. [Metaphylaxis of urolithiasis: new look, modern approach, implementation in a mobile application]. Urologiia. 2017;:124-129 pubmed
    ..To design a smartphone application (app.) in Russian language for urolithiasis patients...
  52. Zhang Q, Yang X, Liu D, Zhao W. Measurement and Assessment of Physical Activity by Information and Communication Technology. Biomed Environ Sci. 2017;30:465-472 pubmed publisher
  53. Burke L, Ma J, Azar K, Bennett G, Peterson E, Zheng Y, et al. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association. Circulation. 2015;132:1157-213 pubmed publisher