The Ability to Look: Management of Breast Disease in the Democratic Republic of the Congo Using Smart Ultrasound Technology.

BACKGROUND: The vast majority of women with breast cancer in sub-Saharan Africa present with advanced stage disease, due primarily to the lack of opportunities for early detection and treatment. As part of a larger effort to increase access to diagnostic and therapeutic services for women's cancers in the Democratic Republic of Congo (DRC), we implemented a curriculum to train the local workforce and a program to build the supportive infrastructure for the diagnosis and treatment of breast cancer at a private sector health facility (Biamba Marie Mutombo Hospital) in Kinshasa. STUDY DESIGN: After onsite trainings in the DRC by a US breast surgeon (RT), Congolese surgeons, general physicians, physician assistants, and nurses used the Phillips Lumify smart-phone ultrasound device to perform and interpret the results of whole breast ultrasound on symptomatic women. Surgeons were trained to perform ultrasound-guided core needle biopsy on those who met the criteria for tissue diagnosis, after which they trained nurses to do the same. RESULTS: Over 3 years, 5,211 patients were identified as having a breast abnormality on clinical breast examination. Ultrasound abnormalities were noted in 1,493 (27%) patients, of which 632 (42%) met the criteria for ultrasound-guided core needle biopsy or fine needle aspiration. Pathology reports were available on 368 (58%) patients who underwent biopsy, of which 164 were malignant and 204 benign. CONCLUSIONS: We demonstrated how the "ability to look" using smart technology can be successfully used to augment clinical breast exam and triage patients for biopsy in a resource-constrained African setting.

Three-Dimensional Facial Scanning at the Fingertips of Patients and Surgeons: Accuracy and Precision Testing of iPhone X Three-Dimensional Scanner.

BACKGROUND: The iPhone X (Apple, Inc., Cupertino, Calif.) is the first smartphone to be released with a high-fidelity three-dimensional scanner. At present, half of all U.S. smartphone users use an iPhone. Recent data suggest that the majority of these 230 million individuals will upgrade to the iPhone X within 2 years. This represents a profound expansion in access to three-dimensional scanning technology, not only for plastic surgeons but for their patients as well. The purpose of this study was to compare the iPhone X scanner against a popular, portable three-dimensional camera used in plastic surgery (Canfield Vectra H1; Canfield Scientific, Inc., Parsippany, N.J.). METHODS: Sixteen human subjects underwent three-dimensional facial capture with the iPhone X and Canfield Vectra H1. Results were compared using color map analysis and surface distances between key anatomical landmarks. To assess repeatability and precision of the iPhone X three-dimensional scanner, six facial scans of a single participant were obtained and compared using color map analysis. In addition, three-dimensionally-printed facial masks (n = 3) were captured with each device and compared. RESULTS: For the experiments, average root mean square was 0.44 mm following color map analysis and 0.46 mm for surface distance between anatomical landmarks. For repeatability and precision testing, average root mean square difference following color map analysis was 0.35 mm. For the three-dimensionally-printed facial mask comparison, average root mean square difference was 0.28 mm. CONCLUSIONS: The iPhone X offers three-dimensional scanning that is accurate and precise to within 0.5 mm when compared to a commonly used, validated, and expensive three-dimensional camera. This represents a significant reduction in the barrier to access to three-dimensional scanning technology for both patients and surgeons.

A demonstration of automated visual evaluation of cervical images taken with a smartphone camera.

We examined whether automated visual evaluation (AVE), a deep learning computer application for cervical cancer screening, can be used on cervix images taken by a contemporary smartphone camera. A large number of cervix images acquired by the commercial MobileODT EVA system were filtered for acceptable visual quality and then 7587 filtered images from 3221 women were annotated by a group of gynecologic oncologists (so the gold standard is an expert impression, not histopathology). We tested and analyzed on multiple random splits of the images using two deep learning, object detection networks. For all the receiver operating characteristics curves, the area under the curve values for the discrimination of the most likely precancer cases from least likely cases (most likely controls) were above 0.90. These results showed that AVE can classify cervix images with confidence scores that are strongly associated with expert evaluations of severity for the same images. The results on a small subset of images that have histopathologic diagnoses further supported the capability of AVE for predicting cervical precancer. We examined the associations of AVE severity score with gynecologic oncologist impression at all regions where we had a sufficient number of cases and controls, and the influence of a woman's age. The method was found generally resilient to regional variation in the appearance of the cervix. This work suggests that using AVE on smartphones could be a useful adjunct to health-worker visual assessment with acetic acid, a cervical cancer screening method commonly used in low- and middle-resource settings.

A low-cost smartphone controlled portable system with accurately confined on-chip 3D electrodes for flow-through cell electroporation.

Microscale flow-through electroporation at DC voltage has advantages in delivering small molecules. Yet, electroporation based on constant voltage are liable to generate electrolysis products which limits the voltage-operating window. Parallel on-chip 3D electrodes with close and uniform spacing are required to cut down voltage as well as provide enough electric field for electroporation. Here we present a simple electrode fabrication method based on capillary restriction valves in Z-axis to achieve parallel 3D electrodes with controllable electrode spacing in PDMS chips. With electrodes accurately placed in close range, a low voltage of only 1.5 V can generate enough electric field (>400 V/cm) to make cell membrane permeable. Squeeze flow is introduced to produce higher electric field (>800 V/cm) at a fixed voltage for more efficient electroporation. Benefit from the electrode fabrication method and application of squeeze flow, we develop a smartphone controlled microfluidic electroporation system which integrate functions of sample injection, pressure regulating, real-time observation and constant DC power supply. The system is used to electroporate two cell lines, showing a permeabilization percentage of 63% for HEK-293 cells and 58% for CHO-K1 cells with optimal parameters. Thus, the portable microfluidic system provides a cost-effective and user-friendly flow-through cell electroporation platform.

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study.

BACKGROUND: As smartphone ownership continues to rise, health care systems and technology companies are driven to develop mobile health (mHealth) interventions as both diagnostic and therapeutic tools. An important consideration during mHealth intervention development is how to achieve health equity despite demographic differences in smartphone ownership. One solution is through the recirculation of loaner smartphones; however, best practices for implementing such programs to optimize security, privacy, scalability, and convenience for participants are not well defined. OBJECTIVE: In this tutorial, we describe how we implemented our novel Corrie iShare program, a 30-day loaner iPhone and smartwatch recirculation program, as part of a multi-center mHealth intervention to improve recovery and access to guideline-directed therapy following acute myocardial infarction. METHODS: We conducted a prospective study utilizing a smartphone app and leveraged iOS enterprise features as well as cellular data service to automate recirculation. RESULTS: Our configuration protocol was shortened from 1 hour to 10 minutes. Of 200 participants, 92 (46.0%) did not own an iPhone and would have been excluded from the study without iShare. Among iShare participants, 72% (66/92) returned their loaned smartphones. CONCLUSIONS: The Corrie iShare program demonstrates the potential for a sustainable and scalable mHealth loaner program, enabling broader population reach while optimizing user experience. Implementation may face institutional constraints and software limitations. Consideration should be given to optimizing loaner returns.

Home Videos as a Cost-Effective Tool for the Diagnosis of Paroxysmal Events in Infants: Prospective Study.

BACKGROUND: The diagnosis of paroxysmal events in infants is often challenging. Reasons include the child's inability to express discomfort and the inability to record video electroencephalography at home. The prevalence of mobile phones, which can record videos, may be beneficial to these patients. In China, this advantage may be even more significant given the vast population and the uneven distribution of medical resources. OBJECTIVE: The aim of this study is to investigate the value of mobile phone videos in increasing the diagnostic accuracy and cost savings of paroxysmal events in infants. METHODS: Clinical data, including descriptions and home videos of episodes, from 12 patients with paroxysmal events were collected. The investigation was conducted in six centers during pediatric academic conferences. All 452 practitioners present were asked to make their diagnoses by just the descriptions of the events, and then remake their diagnoses after watching the corresponding home videos of the episodes. The doctor's information, including educational background, profession, working years, and working hospital level, was also recorded. The cost savings from accurate diagnoses were measured on the basis of using online consultation, which can also be done easily by mobile phone. All data were recorded in the form of questionnaires designed for this study. RESULTS: We collected 452 questionnaires, 301 of which met the criteria (66.6%) and were analyzed. The mean correct diagnoses with and without videos was 8.4 (SD 1.7) of 12 and 7.5 (SD 1.7) of 12, respectively. For epileptic seizures, mobile phone videos increased the mean accurate diagnoses by 3.9%; for nonepileptic events, it was 11.5% and both were statistically different (P=.006 for epileptic events; P<.001 for nonepileptic events). Pediatric neurologists with longer working years had higher diagnostic accuracy; whereas, their working hospital level and educational background made no difference. For patients with paroxysmal events, at least US $673.90 per capita and US $128 million nationwide could be saved annually, which is 12.02% of the total cost for correct diagnosis. CONCLUSIONS: Home videos made on mobile phones are a cost-effective tool for the diagnosis of paroxysmal events in infants. They can facilitate the diagnosis of paroxysmal events in infants and thereby save costs. The best choice for infants with paroxysmal events on their initial visit is to record their events first and then show the video to a neurologist with longer working years through online consultation.

Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants.

BACKGROUND: The widespread adoption of smartphones provides researchers with expanded opportunities for developing, testing and implementing interventions. National Institutes of Health (NIH) funds competitive, investigator-initiated grant applications. Funded grants represent the state of the science and therefore are expected to anticipate the progression of research in the near future. OBJECTIVE: The objective of this paper is to provide an analysis of the kinds of smartphone-based intervention apps funded in NIH research grants during the five-year period between 2014 and 2018. METHODS: We queried NIH Reporter to identify candidate funded grants that addressed mHealth and the use of smartphones. From 1524 potential grants, we identified 397 that met the requisites of including an intervention app. Each grant's abstract was analyzed to understand the focus of intervention. The year of funding, type of activity (eg, R01, R34, and so on) and funding were noted. RESULTS: We identified 13 categories of strategies employed in funded smartphone intervention apps. Most grants included either one (35.0%) or two (39.0%) intervention approaches. These included artificial intelligence (57 apps), bionic adaptation (33 apps), cognitive and behavioral therapies (68 apps), contingency management (24 apps), education and information (85 apps), enhanced motivation (50 apps), facilitating, reminding and referring (60 apps), gaming and gamification (52 apps), mindfulness training (18 apps), monitoring and feedback (192 apps), norm setting (7 apps), skills training (85 apps) and social support and social networking (59 apps). The most frequently observed grant types included Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants (40.8%) and Research Project Grants (R01s) (26.2%). The number of grants funded increased through the five-year period from 60 in 2014 to 112 in 2018. CONCLUSIONS: Smartphone intervention apps are increasingly competitive for NIH funding. They reflect a wide diversity of approaches that have significant potential for use in applied settings.

Multifunctional hand-held sensor using electronic components embedded in smartphones for quick PCR screening.

We focused on the development of a hand-held pathogen-detection device using smartphone-embedded electronic elements combined with functionalized magnetic particles (MPs) and sepharose. To perform affinity chromatography for evaluating DNA amplicons, avidin-conjugated MPs and succinimide-linked sepharose were used with biotin-primers. To mimic the centrifugal-based affinity ligand chromatography, a smartphone-mountable low-power fan was plugged into the charging port of a smartphone. The charging port stably emitted electric current at 3.0 V, and the fan blades were modified for use as a portable rotor. Based on the binding variation of MPs with DNA amplicons, the position of MPs in sepharose changed significantly during centrifugation. The change in distance was optically analyzed using the illumination sensor of the smartphone with respect to the altered transmittance due to the MPs. Amplified genes from Escherichia. coli O157:H7 samples ranging from 1.0 × 101 to 1.0 × 106 colony-forming units could be rapidly and immediately detected by the naked eye using a simple smartphone-based optical device. The results indicated that this novel biosensing technique is suitable for use as a point-of-care testing device in both industrial and clinical fields.

A portable nucleic acid detection system using natural convection combined with a smartphone.

The development of portable nucleic acid diagnostic devices has the potential to expand the availability of molecular diagnostics into low-resource settings. One of the promising solutions for rapid and simple DNA amplification is the use of Rayleigh-Bernard natural convection which is caused by a buoyancy-driven thermal gradient of liquid when heated from below. This natural convection avoids the use of the complex and sophisticated hardware that is required for precise maintenance of temperature cycles in conventional PCR. We have developed a stand-alone convective PCR (cPCR) device linked to a smartphone for rapid detection of nucleic acids using natural convection heating. The device amplifies multiple DNA samples simultaneously using a custom-made heat block controlled by Bluetooth wireless communication. The entire device is highly portable, user-friendly, battery-operated and can provide target DNA amplification in less than 30 min. A detection limit of 2.8 × 103 copies of a segment of lambda DNA was obtained when the two different fluorescently-tagged amplicons were collected magnetically and detected using the smartphone fluorescence reader. Thus, the combination of cPCR and multiplex fluorescence-based detection on a smartphone provides new opportunities for the development of affordable and portable molecular diagnostic devices for point-of-care situations or remote clinical settings.

Reviewing Mobile Apps to Control Heart Rate in Literature and Virtual Stores.

BACKGROUND: Information and communications technologies are transforming our social interactions and life-styles. One of the most promising applications of information technology is healthcare and wellness management that characterized by early detection of conditions, prevention, and long-term healthcare management. OBJECTIVE: The main purpose of this document is to do a study, first about the actual literature about mobile phone applications to measure and control heart-rate and second a study about these applications themselves, analyzing the different app stores more popular nowadays, Google Play Store and iTunes (for Android and iOS devices respectively). METHODS: The Web portals and databases that were used to perform the searches are IEEE Xplore, National Center for Biotechnology Information, Springer, ResearchGate, Science Direct and Scopus, taking into account the date of publication from 2010 to 2018, publications in English and Spanish. RESULTS: 40 relevant papers have been found related to mobile phone apps to measure and control heart rate. The results show that of a total of 400 applications found 61.25% of them are in the Play Store (Android systems) and the remaining 38.75% were found in the iTunes Store (iOS systems). CONCLUSIONS: From the review of the research articles analyzed, it can be said that the most applications found are for Android devices. They occupy 76.53% of the world mobile phone market, while iOS only owns 18.97%.

Validation of low-cost smartphone-based thermal camera for diabetic foot assessment.

AIMS: Infrared thermal imaging (IR) is not yet routinely implemented for early detection of diabetic foot ulcers (DFU), despite proven clinical effectiveness. Low-cost, smartphone-based IR-cameras are now available and may lower the threshold for implementation, but the quality of these cameras is unknown. We aim to validate a smartphone-based IR-camera against a high-end IR-camera for diabetic foot assessment. METHODS: We acquired plantar IR images of feet of 32 participants with a current or recently healed DFU with the smartphone-based FLIR-One and the high-end FLIR-SC305. Contralateral temperature differences of the entire plantar foot and nine pre-specified regions were compared for validation. Intra-class correlations coefficient (ICC(3,1)) and Bland-Altman plots were used to test agreement. Clinical validity was assessed by calculating statistical measures of diagnostic performance. RESULTS: Almost perfect agreement was found for temperature measurements in both the entire plantar foot and the combined pre-specified regions, respectively, with ICC values of 0.987 and 0.981, Bland-Altman plots' mean Δ = -0.14 and Δ = -0.06. Diagnostic accuracy showed 94% and 93% sensitivity, and 86% and 91% specificity. CONCLUSIONS: The smartphone-based IR-camera shows excellent validity for diabetic foot assessment.

A Low-cost, Smartphone-only Pulse Transit Time Measurement System Using Cardio-mechanical Signals and Optical Sensors.

This paper presents a smartphone-only solution for measuring pulse transit time (PTT). An application based on an Android smartphone is developed to collect seismocardiogram (SCG), gyrocardiogram (GCG), and photoplethysmography (PPG) recordings. The system does not need any other external system for measurements, so the total cost and system complexity are minimized. PTT metrics are calculated as the time difference between the aortic valve opening points in the SCG or GCG signals recorded by the accelerometer or gyroscope of a smartphone respectively, and the fiducial points in the PPG signal recorded by a modified optical sensor connected to the audio input. A digital signal processing (DSP) system is developed in a post-processing environment and experimentally validated on ten healthy subjects at rest. Our results indicate that a smartphone-only PTT measurement system is feasible and comparable with stand-alone sensor node systems.

Rapid monitoring and evaluation of a community-led total sanitation program using smartphones.

India accounts for around 50% of the world's open defecation, and under a World Bank initiative, a rural district was selected to be the first open defecation-free (ODF) district in Punjab. Considering this, the current study aims to evaluate the application and impact of a smartphone-based instant messaging app (IMA) on the process of making Fatehgarh Sahib an ODF district. The District Administration involved the Water Supply and Sanitation Department, Non-government Organizations, and volunteers to promote the process of a community-led total sanitation. Proper training was provided to the volunteers to spread awareness about the triggering events, health impacts of open defecation, and monetary benefits of building new individual household latrine (IHHL). IMA was used as an aid to speed up monitoring and for the evaluation of a sanitation program. All the volunteers were connected to an IMA. This helped in providing a transparent and evidence-based field report on triggering events, follow-up activities, validation of existing IHHL, and monitoring of construction of new IHHL. IMA is a cost-effective tool as it is already being used by the volunteers and requires no additional cost (on the user or on the project) but requires a training on ethical uses of mobile and data safety.

Potential travel cost saving in urban public-transport networks using smartphone guidance.

Public transport (PT) is a key element in most major cities around the world. With the development of smartphones, available journey planning information is becoming an integral part of the PT system. Each traveler has specific preferences when undertaking a trip, and these preferences can also be reflected on the smartphone. This paper considers transit assignment in urban public-transport networks in which the passengers receive smartphone-based information containing elements that might influence the travel decisions in relation to line loads, as well as passenger benefits, and the paper discusses the transition from the current widespread choosing approach to a personalized decision-making approach based on smartphone information. The approach associated with smartphone guidance that considers passengers' preference on travel time, waiting time and transfer is proposed in the process of obtaining his/her preferred route from the potential travel routes generated by the Deep First Search (DFS) method. Two other approaches, based on the scenarios reflecting reality, include passengers with access to no real time information, and passengers that only have access to the arrival time at the platform are used as comparisons. For illustration, the same network proposed by Spiess and Florian is utilized on the experiments in an agent-based model. Two experiments are conducted respectively according to whether each passenger's choosing method is consistent. As expected, the results in the first experiment showed that the travel for consistent passengers with smartphone guidance was clearly shorter and that it can reduce travel time exceeding 15% and weighted cost exceeding 20%, and the average saved time approximated 3.88 minutes per passenger. The second experiment presented that travel cost, as well as cost savings, gradually decreased by employing smartphone guidance, and the maximum cost savings accounted for 14.2% of the total weighted cost.

Quo Vadis Point-of-Care Diagnostics? Report II of the SWISS SYMPOSIUM in Point-of-Care Diagnostics 2017.

U.S. studies show that the global point-of-care (POC) diagnostics market will reach $40.5 bn by 2022, with a compound annual growth rate (CAGR) of 10%. This is one of the reasons why HES-SO Valais-Wallis and CSEM, acting on behalf of the NTN Swiss Biotech thematic platform in vitro Diagnostics (TP IVD), invited interested parties on October 26, 2017 to the SWISS SYMPOSIUM in Point-of-Care Diagnostics (see CHIMIA No. 12/2017). We now bring the second report on the future prospects of POC diagnostics.

Simple Approaches to Minimally-Instrumented, Microfluidic-Based Point-of-Care Nucleic Acid Amplification Tests.

Designs and applications of microfluidics-based devices for molecular diagnostics (Nucleic Acid Amplification Tests, NAATs) in infectious disease testing are reviewed, with emphasis on minimally instrumented, point-of-care (POC) tests for resource-limited settings. Microfluidic cartridges ('chips') that combine solid-phase nucleic acid extraction; isothermal enzymatic nucleic acid amplification; pre-stored, paraffin-encapsulated lyophilized reagents; and real-time or endpoint optical detection are described. These chips can be used with a companion module for separating plasma from blood through a combined sedimentation-filtration effect. Three reporter types: Fluorescence, colorimetric dyes, and bioluminescence; and a new paradigm for end-point detection based on a diffusion-reaction column are compared. Multiplexing (parallel amplification and detection of multiple targets) is demonstrated. Low-cost detection and added functionality (data analysis, control, communication) can be realized using a cellphone platform with the chip. Some related and similar-purposed approaches by others are surveyed.