Latest AI and machine learning research in risk management for healthcare professionals.
Internet Gaming Disorder (IGD) is officially listed as a behavioral addiction, exhibits high prevalence and has inadequate treatment efficacy. Targeting craving triggered by gaming cues represents a critical therapeutic objective. This study aimed to establish optimizing neuro-electrophysiologic biomarkers for IGD and develop a targeted neuromodulation protocol. In an exploratory study, we identif...
Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. This study investigated LBP among 450 adolescent cricketers in Dhaka City in Bangladesh, considering a range of factors, including sociodemographic characteristics, game-related activities, preventive practices, and LBP-related history. Several machine learning (ML) algorithms were applied to classify...
Medication errors pose a significant threat to public health. Despite efforts by health agencies and the implementation of various interventions, such...
Artificial intelligence (AI) and machine learning (ML) are widely used in healthcare, primarily for clinical tasks like diagnostics and decision suppo...
Stroke is one of the leading causes of death and long-term disability globally. Several studies have investigated the incidence and predictors of stro...
The VISION study1 found that Lutetium-177 (177Lu)–PSMA-617 (“Lu-177”) improved overall survival in metastatic castrate resistant prostate cancer (mCRP...
Current Czech national food-based dietary guidelines are outdated and do not reflect the most recent scientific evidence, nor considerations of sustai...
Depression and anxiety are widespread mental health disorders, yet their diagnosis remains challenging. Digital phenotyping with wearable devices prov...
Documentation demands in psychiatric practice diminish time for direct patient care and are associated with clinician burnout. Ambient artificial inte...
Heart failure (HF) is a life-threatening syndrome with significant morbidity and mortality. While evidence-based drug treatments have effectively redu...
The global aging population faces increasing challenges related to cognitive decline, social isolation, and psychological well-being. Reminiscence the...
Prostate cancer diagnosis and treatment planning depend on accurate histopathological assessment of needle biopsies, particularly through the Gleason ...
The availability of effective antiretroviral therapy has made HIV manageable, provided patients have consistent access to routine viral load (VL) test...
This study investigated whether chronotype (biobehavioral preference for sleep and wake timing) across early adolescence impacts mental health symptom...
Spinal cord injury (SCI) remains a devastating neurological condition with high global incidence and minimal curative options. The pathobiology is mul...
The rapid digitization of healthcare has positioned transformer-based natural language processing (NLP) models as powerful tools for managing clinical...
Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...
Cognitive decline affects up to 80% of Parkinson’s disease (PD) patients, significantly impacting quality of life. Speech changes occur early in PD an...
Any tool that can reduce the administrative burden on healthcare providers while preserving safe, accountable and high-quality medical documentation i...
Economic evaluations of artificial intelligence (AI) in healthcare are expanding rapidly, yet underlying costing methods remains heterogenous, and fre...