OBJECTIVES: Reducing the burden of bilirubin-induced neurologic complications in low-resource countries requires reliable and accessible screening tools. We sought to optimize and validate a sclera-based smartphone application, Neonatal Scleral-Conjunctival Bilirubin (neoSCB), for screening neonatal jaundice. METHODS: Using a cross-sectional design, consecutive eligible infants (aged 0–28 days, in the hospital, not critically ill) were enrolled in Ghana from March 2019 to April 2020. Jaundice screening was performed with neoSCB (Samsung Galaxy S8) to quantify SCB and JM-105 (Dräger) for transcutaneous bilirubin (TcB). Screening values were compared with total serum bilirubin (TSB) measured at the point of care. RESULTS: Overall, 724 infants participated in the optimization and validation phases of the study. The analysis for validation included 336 infants with no previous treatment of jaundice. Single neoSCB image captures identified infants with TSB >14.62 mg/dL (250 μmol/L) with reasonably high sensitivity, specificity, and receiver operating characteristic area under the curve at 0.94 (95% confidence interval [CI], 0.91 to 0.97), 0.73 (95% CI, 0.68 to 0.78), and 0.90, respectively. These findings were comparable to the sensitivity and specificity of JM-105 (0.96 [95% CI, 0.90 to 0.99] and 0.81 [95% CI, 0.76 to 0.86], respectively). The TcB/TSB had a larger correlation coefficient (r = 0.93; P < .01) than SCB/TSB (r = 0.78; P < .01). Performance of both devices was lower in infants with previous phototherapy (n = 231). CONCLUSIONS: The diagnostic performance of neoSCB was comparable to JM-105 and is a potential, affordable, contact-free screening tool for neonatal jaundice.

Background Anaemia affects approximately a quarter of the global population. When anaemia occurs during childhood, it can increase susceptibility to infectious diseases and impair cognitive development. This research uses smartphone-based colorimetry to develop a non-invasive technique for screening for anaemia in a previously understudied population of infants and young children in Ghana. Methods We propose a colorimetric algorithm for screening for anaemia which uses a novel combination of three regions of interest: the lower eyelid (palpebral conjunctiva), the sclera, and the mucosal membrane adjacent to the lower lip. These regions are chosen to have minimal skin pigmentation occluding the blood chromaticity. As part of the algorithm development, different methods were compared for (1) accounting for varying ambient lighting, and (2) choosing a chromaticity metric for each region of interest. In comparison to some prior work, no specialist hardware (such as a colour reference card) is required for image acquisition. Results Sixty-two patients under 4 years of age were recruited as a convenience clinical sample in Korle Bu Teaching Hospital, Ghana. Forty-three of these had quality images for all regions of interest. Using a naïve Bayes classifier, this method was capable of screening for anaemia (<11.0g/dL haemoglobin concentration) vs healthy blood haemoglobin concentration (≥11.0g/dL) with a sensitivity of 92.9% (95% CI 66.1% to 99.8%), a specificity of 89.7% (72.7% to 97.8%) when acting on unseen data, using only an affordable smartphone and no additional hardware. Conclusion These results add to the body of evidence suggesting that smartphone colorimetry is likely to be a useful tool for making anaemia screening more widely available. However, there remains no consensus on the optimal method for image preprocessing or feature extraction, especially across diverse patient populations.

Background and Aim: Serum bilirubin is an established marker of liver disease. Reliable tools for non-invasive assessment of jaundice in cirrhosis patients, at risk of clinical decompensation, are highly desirable. While smartphone-based imaging has been described in neonatal jaundice, it has not been investigated in advanced cirrhosis patients. Methods: We included 46 hospitalized patients with acute cirrhosis decompensation and jaundice. Scleral images using an Android smartphone were taken to derive "Scleral Color Values (SCV)," which were matched with same day serum bilirubin measurements. In 29 patients, repeat SCV and bilirubin measurements were performed over time. We analyzed the relationship of SCV and its dynamics with serum bilirubin, clinical scores, and patient outcomes. Results: Of 46 patients, 26 (57%) had alcoholic hepatitis as the decompensation precipitant. Seven patients died during admission; a further 12 following hospital discharge. SCV had an excellent linear correlation with serum bilirubin (rho = 0.90, P < 0.001); changes in SCV and serum bilirubin across different time points, were also closely associated (rho = 0.77, P < 0.001). SCV correlated significantly with CLIF Consortium Acute Decompensation score (rho = 0.38, P < 0.001) and grade of Acute-on-Chronic Liver Failure (rho = 0.42, P = 0.039). SCV was higher in patients who died, however, not significantly ], P = 0.22). The associations of SCV with clinical parameters mirrored those of serum bilirubin. Conclusion: Smartphone-based assessment of jaundice shows excellent concordance with serum bilirubin and is associated with clinical parameters in acute cirrhosis decompensation. This approach offers promise for remote assessment of cirrhosis patients at-risk of decompensation, post hospital discharge.

Using smartphone images to quantify color presents a noninvasive way to assess jaundice and other color-related biomarkers of the human body. Here we focus on assessing jaundice through accurate bilirubin measurement in adult liver patients, the first time optical imaging has been applied to this cohort. These patients can suffer from very high levels of bilirubin, indicating their severity of liver disease. A smartphone assessment technique for jaundice based around the color of the sclera (white of the eye) extracted from images is being developed, as smartphone imaging enables cheap, non-invasive and quantitative readings. Variations in ambient light cause large changes to recorded pixel values so must be accounted for to ensure that any changes detected are due to changes in jaundice level. Here we suggest the use of an ambient subtraction approach to minimise the effects of ambient light. Pairs of flash/ no-flash images are captured and the extracted values subtracted to yield data as though under a pure flash illumination. We present data demonstrating the technique with a group of healthy adult volunteers. We also present data from a patient study involving adults with liver disease. Images were captured and the bilirubin (jaundice) level predicted from these images before and after subtraction was compared to the ground truth value obtained via blood test. The linear correlation coefficient increased from 0.47 to 0.85 (p < 0.001 in both cases) upon application of subtraction, demonstrating the effectiveness of the technique.