Nodal Low-Grade B-Cell Lymphoma Co-Expressing CD5 and CD10 but Not CD23, IRTA1, or Cyclin D1: The Diagnostic Challenge of a Splenic Marginal Zone Lymphoma.

The diagnosis of lymphoma is based on histopathological and immunophenotypical features. CD5 and CD10 are traditionally considered a T-cell antigen and a germinal center B-cell antigen, respectively. It is very unusual for a low-grade B-cell lymphoma (BCL) to co-express CD5 and CD10.

Investigating mobile persuasive design for mental wellness: A cross-domain analysis.

Background: Global mental health issues have increased the demand for digital mental health support. Mobile apps with persuasive technology play a vital role in enhancing mental well-being.

Objective: Analysing and Comparing persuasive intervention design across various app categories, this study aims to inspire innovative design approaches for improving the persuasiveness of mental wellness apps during their development.

Medication Adherence Support Applications for Chronic Arthritis Patients: Healthcare Providers' Perspective in Saudi Arabia.

Mobile health applications provide chronic disease patients with different capabilities and resources to support medication adherence. The study aims to understand the health care providers' (HCP) perceptions and recommendations about the design features and content of medication adherence support apps for individuals with chronic arthritis conditions in Saudi Arabia. Individual interviews were conducted with ten participants, such as rheumatologists, health educators, pharmacists, informaticians, and representatives from the Saudi Arthritis Association.

Smartphone application use patterns for mental health disorders: A systematic literature review and meta-analysis.

Background: Mobile mental health applications play a significant role in mental health care to fill gaps in care for mental disorders. Despite the growth in mobile phone apps for mental health conditions, patients' mental health smartphone application use, perceived usefulness, and future interest in using apps for mental disorders have not been systematically examined.

Methods: The authors designed and conducted this systematic review and meta-analysis according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement.

Predicting lung cancer survival based on clinical data using machine learning: A review.

Machine learning has gained popularity in predicting survival time in the medical field. This review examines studies utilizing machine learning and data-mining techniques to predict lung cancer survival using clinical data. A systematic literature review searched MEDLINE, Scopus, and Google Scholar databases, following reporting guidelines and using the COVIDENCE system.

A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study.

Background: The Australian Dietary Guidelines (ADG) translate the best available evidence in nutrition into food choice recommendations. However, adherence to the ADG is poor in Australia. Given that following a healthy diet can be a potentially cost-effective strategy for lowering the risk of chronic diseases, there is an urgent need to develop novel technologies for individuals to improve their adherence to the ADG.

Mobile apps used for people living with multiple sclerosis: A scoping review.

Background: Multiple Sclerosis (MS) is a chronic neurodegenerative disorder. People living with MS (plwMS) require long-term, multidisciplinary care in both clinical and community settings. MS-specific mHealth interventions have advanced in the form of clinical treatments, rehabilitation, disease monitoring and self-management of disease.

Orf Infection on the Scalp of a Taiwanese Woman: A Case Report and Literature Review.

Background: Orf, or ecthyma contagiosum, is a zoonosis caused by Parapoxvirus that infects sheep and goats. Human transmission typically occurs in persons in contact with the infected animals or contaminated fomites and environment. In humans, it generally occurs as solitary or multiple skin lesions on the hands or fingers.

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.

Background: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race).

Objectives: Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias.

Methodology: The study involves in-depth, semistructured interviews with healthcare workers, screening programme managers, consumer health representatives, regulators, data scientists and developers.

Prevalence and Predictors of Knowledge and Attitudes Toward Eye Donation Among the General Population: A Systematic Review.

Purpose: The purpose of this systematic review was to investigate knowledge and attitudes toward eye donation and sources of eye donation information among the general population.

Methods: A search was conducted using MEDLINE through Ovid and Scopus; CINAHL through EBSCOhost and ProQuest; and Embase through Ovid database entries from January 2010 to March 2021. Quantitative studies were selected if they included participants aged 16 years or older from the general population (nonhealthcare) and had a sample size of >200.

mHealth Apps Targeting Obesity and Overweight in Young People: App Review and Analysis.

Background: Overweight and obesity have been linked to several serious health problems and medical conditions. With more than a quarter of the young population having weight problems, the impacts of overweight and obesity on this age group are particularly critical. Mobile health (mHealth) apps that support and encourage positive health behaviors have the potential to achieve better health outcomes.

Persuasive features for patient engagement through mHealth applications in managing chronic conditions: A systematic literature review and meta-analysis.

Patient engagement is currently considered the cornerstone of a revolution in healthcare for its positive impact on health outcomes, health behaviors and healthcare costs. Patient engagement is focused on personalized care to consumers through providing knowledge, skills and confidence. Mobile health (mHealth) applications are an innovative means to facilitate patient engagement.

Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills.

Background: Alongside the promise of improving clinical work, advances in healthcare artificial intelligence (AI) raise concerns about the risk of deskilling clinicians. This purpose of this study is to examine the issue of deskilling from the perspective of diverse group of professional stakeholders with knowledge and/or experiences in the development, deployment and regulation of healthcare AI.

Methods: We conducted qualitative, semi-structured interviews with 72 professionals with AI expertise and/or professional or clinical expertise who were involved in development, deployment and/or regulation of healthcare AI.

Panfolliculoma: Report of the Youngest Case and Literature Review of Its Histopathologic Variants.

: Panfolliculoma (PF) is a relative rare, benign follicular tumor comprised of all elements of the hair follicle, with a limited number of cases reported in the literature. Articles on the demographic and pathological analysis of this tumor are also lacking. : In this report, we presented an unusual case of cystic PF on the back of a 14-year-old male, and we performed a thorough literature review and analysis of all previously reported cases.

Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study.

Background: Persuasive design principles are increasingly employed in mHealth apps for motivating users and promoting healthy behaviours among individuals. However, how the persuasive design principles are perceived by the mHealth app users remains unclear.

Aim: To develop and validate the content validity of an instrument designed to measure the user's perceptions of the persuasive design principles assimilated in a breastfeeding mHealth app.

An empirical study on factors influencing consumers' motivation towards teleconsultation system use. A preliminary report about the Sehha application from Saudi Arabia.

Background: The use of the teleconsultation system has increased in recent years, which enabled healthcare providers and patients to share, communicate and transfer information in real-time via different types of telemedicine services and applications. However, there is a lack of studies that underpin factors that motivate patients to use teleconsultation systems.

Aim And Objective: This study aimed to identify factors that influence consumers' motivation to use teleconsultation systems by developing a theoretical framework and empirically testing the developed framework with a real-world teleconsultation system.

Development and validation of a new tool to identify factors that influence users' motivation toward the use of teleconsultation systems: A modified Delphi study.

Background: Healthcare providers have improved consumer access to healthcare services by the adoption of information communication technology and the use of telemedicine. With the current COVID-19 pandemic, consumers are shifting to remote teleconsultation. There are several studies regarding consumers' acceptance and satisfaction with telemedicine among healthcare providers and a few among patients at healthcare facilities.

Adaptation of the MAUQ and usability evaluation of a mobile phone-based system to promote eye donation.

Introduction: Mobile Applications (apps) are commonly used in the health care settings to improve the quality of care, however prior to the release of the app it is vital to evaluate its usability. Therefore, the aim of this study is to adapt the mobile Health App Usability Questionnaire (MAUQ) and measure the usability of the Eye donor Aust App using the modified instrument (m-MAUQ).

Methods: The study was undertaken using a convenience sample of 94 patients and their carers attending three eye clinics and one outpatient department in a large hospital in Sydney Australia.

Effectiveness of Internet-Based Electronic Technology Interventions on Breastfeeding Outcomes: Systematic Review.

Background: Supporting women to initiate and continue breastfeeding is a global challenge. A range of breastfeeding interventions employing electronic technologies (e-technologies) are being developed, which offer different delivery modes and features over the internet; however, the impact of internet-based e-technologies on breastfeeding outcomes remains unclear.

Objective: This study aimed to identify the characteristics of current internet-based breastfeeding interventions employing e-technologies and investigate the effects of internet-based e-technologies on breastfeeding outcomes.

Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients' Homes: Systematic Literature Review.

Background: Health care providers are adopting information and communication technologies (ICTs) to enhance their services. Telemedicine is one of the services that rely heavily on ICTs to enable remote patients to communicate with health care professionals; in this case, the patient communicates with the health care professional for a follow-up or for a consultation about his or her health condition. This communication process is referred to as an e-consultation.

The ethical, legal and social implications of using artificial intelligence systems in breast cancer care.

Breast cancer care is a leading area for development of artificial intelligence (AI), with applications including screening and diagnosis, risk calculation, prognostication and clinical decision-support, management planning, and precision medicine. We review the ethical, legal and social implications of these developments. We consider the values encoded in algorithms, the need to evaluate outcomes, and issues of bias and transferability, data ownership, confidentiality and consent, and legal, moral and professional responsibility.