Zuzanna Julia Komin

ARTIFICIAL INTELLIGENCE IN DERMATOLOGICAL IMAGE CLASSIFICATION: DIAGNOSTIC ACCURACY, SKIN TONE DISPARITIES, AND CLINICAL GOVERNANCE

Background: Artificial intelligence (AI) is increasingly used to classify skin lesions from dermoscopic and clinical images, yet high performance in curated datasets may not translate into safe or equitable clinical use. Objective: This structured narrative review evaluates diagnostic accuracy, skin-tone-related perfor...

Innovative Technologies in Social

ELECTRONIC HEALTH RECORD-BASED PREDICTIVE APPROACHES FOR HOSPITAL READMISSION: A STRUCTURED REVIEW OF SOCIOECONOMIC VARIABLES AND ALGORITHMIC EQUITY

To make predictive healthcare tools truly useful in practice, it is not enough to focus only on accuracy, they also need to account for fairness, real clinical context, and the actual consequences of their use in everyday healthcare settings.

DIGITAL THERAPEUTICS FOR ANXIETY AND DEPRESSION: A STRUCTURED REVIEW OF CLINICAL EVIDENCE, REGULATORY FRAMEWORKS, AND ACCESS DISPARITIES

Background: The integration of Digital Therapeutics (DTx) into psychiatric care represents a paradigm shift in the management of anxiety and depression. With the continuous technological advancement of Software as a Medical Device (SaMD), its potential to alleviate shortages in psychiatric care is facing rigorous evalu...

WEARABLE BIOSENSORS IN REMOTE CHRONIC DISEASE MONITORING: A STRUCTURED REVIEW OF IMPLEMENTATION BARRIERS AND HEALTH EQUITY IMPLICATIONS

This analysis targeted data documenting the logistical friction, long-term adherence failures, and unequal access surrounding continuous glucose monitors, ambulatory cardiac patches, and multi-parameter tracking devices.

PASSIVE SMARTPHONE SENSING FOR MENTAL HEALTH MONITORING: A STRUCTURED REVIEW OF BEHAVIORAL BIOMARKERS, PREDICTIVE VALIDITY, AND ETHICAL RISKS

Methods: This structured review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) guidelines. Systematic searches were carried out in PubMed/MEDLINE and Google Scholar to identify peer-reviewed articles published between January 2018 and June 2026. Studies met inclusion cri...

AI-DRIVEN EARLY WARNING SYSTEMS FOR SEPSIS DETECTION IN ICU SETTINGS: A STRUCTURED REVIEW OF PREDICTIVE PERFORMANCE, CLINICAL INTEGRATION AND EQUITY OUTCOMES

Background: Sepsis remains a primary cause of mortality and organ dysfunction in Intensive Care Units (ICUs) globally. Although AI models show considerable promise for the early identification of sepsis, moving these tools from retrospective performance to bedside utility is hindered by socio-technical barriers, workfl...

CHATBOT-DELIVERED COGNITIVE BEHAVIOURAL THERAPY: A STRUCTURED REVIEW OF EFFICACY, USER ENGAGEMENT, AND EQUITY OF ACCESS

Background: Chatbots are increasingly used to deliver cognitive behavioural therapy (CBT) via mobile and web applications. Many mental health systems cannot meet demand with face-to-face care alone. CBT chatbots have therefore been introduced in app form, but data on outcomes, dropout, and unequal uptake remain limited...