A Review of the Role of Artificial Intelligence in Healthcare

Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other administrative applications. The impact of AI is observed in detecting clinical conditions in medical imaging and diagnostic services, controlling the outbreak of coronavirus disease 2019 (COVID-19) with early diagnosis, providing virtual patient care using AI-powered tools, managing electronic health records, augmenting patient engagement and compliance with the treatment plan, reducing the administrative workload of healthcare professionals (HCPs), discovering new drugs and vaccines, spotting medical prescription errors, extensive data storage and analysis, and technology-assisted rehabilitation. Nevertheless, this science pitch meets several technical, ethical, and social challenges, including privacy, safety, the right to decide and try, costs, information and consent, access, and efficacy, while integrating AI into healthcare. The governance of AI applications is crucial for patient safety and accountability and for raising HCPs' belief in enhancing acceptance and boosting significant health consequences. Effective governance is a prerequisite to precisely address regulatory, ethical, and trust issues while advancing the acceptance and implementation of AI. Since COVID-19 hit the global health system, the concept of AI has created a revolution in healthcare, and such an uprising could be another step forward to meet future healthcare needs.

Collection and determination of nucleotide metabolites in neonatal and adult saliva by high performance liquid chromatography with tandem mass spectrometry

Saliva contains a number of biochemical components which may be useful for diagnosis/monitoring of metabolic disorders, and as markers of cancer or heart disease. Saliva collection is attractive as a non-invasive sampling method for infants and elderly patients. We present a method suitable for saliva collection from neonates. We have applied this technique for the determination of salivary nucleotide metabolites. Saliva was collected from 10 healthy neonates using washed cotton swabs, and directly from 10 adults. Two methods for saliva extraction from oral swabs were evaluated. The analytes were then separated using high performance liquid chromatography (HPLC) with tandem mass spectrometry (MS/MS). The limits of detection for 14 purine/pyrimidine metabolites were variable, ranging from 0.01 to 1.0μM. Recovery of hydrophobic purine/pyrimidine metabolites from cotton tips was consistently high using water/acetonitrile extraction (92.7-111%) compared with water extraction alone. The concentrations of these metabolites were significantly higher in neonatal saliva than in adults. Preliminary ranges for nucleotide metabolites in neonatal and adult saliva are reported. Hypoxanthine and xanthine were grossly raised in neonates (49.3±25.4; 30.9±19.5μM respectively) compared to adults (4.3±3.3; 4.6±4.5μM); nucleosides were also markedly raised in neonates. This study focuses on three essential details: contamination of oral swabs during manufacturing and how to overcome this; weighing swabs to accurately measure small saliva volumes; and methods for extracting saliva metabolites of interest from cotton swabs. A method is described for determining nucleotide metabolites using HPLC with photodiode array or MS/MS. The advantages of utilising saliva are highlighted. Nucleotide metabolites were not simply in equilibrium with plasma, but may be actively secreted into saliva, and this process is more active in neonates than adults.

Prevalence of iodine deficiency disorders among school children in Saudi Arabia: results of a national iodine nutrition study

This study aimed at establishing updated data on iodine nutrition among schoolchildren in Saudi Arabia. A cross-sectional cluster survey among schoolchildren aged 8-10 years was conducted during February-April 2012. Children were clinically examined for goitre, urine and household salt samples were collected to estimate urinary iodine concenteration (UIC) and iodine content in salt. The overall goitre prevalence at the national level among 4 016 children was 4.2%. The prevalence was < 5% in all regions of the country except southern region with a prevalence of 12.7%. The median UIC of 2224 samples was 133 μg/L, with 74.3% of the surveyed children with UIC ≥ 100 μg/L. Analysis of salt samples (n = 4242) revealed that 69.8% of households were consuming adequately iodized salt. The findings suggest iodine sufficiency at the national level, however southern region still has a goitre prevalence of mild degree severity and the proportion of households consuming adequately iodized salt is still below recommendations.

ASSESSMENT OF EXTERNAL OCCUPATIONAL DOSE OF PHOSPHATE MINE WORKERS IN SAUDI ARABIA USING THERMOLUMINESCENT DOSEMETERS

Workers in the mining industry face the problem of radiation exposure from naturally occurring radioactive materials. Thus, this study aimed to estimate a Hp (10) doses for mine workers in the phosphate mining industry in Saudi Arabia. The personal dose equivalent [Hp (10)] of 606 mine workers in the phosphate mining industry in Saudi Arabia were obtained from 2016 to 2019 using thermoluminescent dosemeters (TLDs). The results showed that the annual mean Hp (10) of all mine workers averaged over the study period was 0.66 mSv (SD = 0.45), which is within the range of occupational doses reported worldwide. Most of the Hp (10) were <0.49 mSv, and the maximum Hp (10) was 3.55 mSv. Nonetheless, internal exposure should be evaluated along with external exposure to estimate a comprehensive baseline occupational dose for mine workers in the phosphate mining industry in Saudi Arabia.