Latest AI and machine learning research in risk management for healthcare professionals.
Background: A conversation between a victim and a perpetrator of sexual abuse has the potential to reduce posttraumatic stress disorder (PTSD) symptoms in the victim. However, an actual conversation may not always be possible or feasible. Deepfake technology may offer a way to simulate a conversation in a clinical context. Therefore, a feasible, acceptable and potentially effective intervention pr...
BACKGROUND: Artificial Intelligence (AI) is increasingly proposed to enhance population-based cancer screening. While several applications are under evaluation, there is limited evidence on professional and organisational perspectives regarding their value, risks, and implementation challenges. METHODS: We conducted a web-based survey targeting coordinators and reference professionals of Italian c...
BACKGROUND: Acute infectious symptoms are a leading cause of pediatric emergency department visits in Canada, many of which are low acuity and could b...
BACKGROUND: Cardiac rehabilitation is an evidence-based, multidisciplinary intervention integrating therapeutic exercise, patient education, nutrition...
INTRODUCTION: Chronic obstructive pulmonary disease (COPD) has an unpredictable clinical course, causing difficulties in short-term mortality predicti...
BACKGROUND: Fungal diseases represent a global health threat, with high mortality rates and growing antifungal resistance demanding new therapeutic st...
BACKGROUND: Postoperative delirium (POD) is a frequent and serious complication in older surgical patients, characterized by acute cognitive dysfuncti...
Climate change increasingly threatens global agriculture by intensifying abiotic stresses and destabilizing crop productivity, necessitating a deeper ...
Uterine activity analysis is valuable for monitoring pregnancy progression and detecting contractions to assess the risk of preterm birth and enable t...
BACKGROUND: This study systematically investigates the relationship between running posture and tibial load in novice runners using machine learning m...
OBJECTIVE: Isolated rapid-eye-movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due ...
BACKGROUND: Medication adherence is a critical challenge for people living with dementia and their caregivers. Standard care relies on appropriate med...
BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and respiratory diseases, cancer, and type 2 diabetes sh...
INTRODUCTION: Fibromyalgia (FM) is a chronic condition characterized by widespread pain and cognitive dysfunction, with pharmacological treatments off...
Diabetes is a common chronic disease that needs early diagnosis and proper management to avoid severe complications. While current Artificial Intellig...
Headache disorders present diagnostic challenges due to their clinical heterogeneity and the extensive taxonomy of the ICHD-3 classification. While la...
Patient-facing artificial intelligence in clinical settings raises distinct ethical challenges that require explicit attention as patients transition ...
BACKGROUND: Artificial intelligence (AI) is increasingly becoming an integral part of everyday life, including in the healthcare sector. When used in ...
Artificial intelligence (AI) holds potential to assist with patient-facing communication. However, patients' interpretation and trust in AI-generated ...
Dutch general practice is under increasing pressure from workforce shortages and administrative workload. Generative artificial intelligence (GenAI) i...