Artificial intelligence (AI) is rapidly transforming healthcare, and one of its most promising
applications is in the diagnosis and treatment of diseases. AI algorithms can analyze vast …

The use of artificial intelligence (AI) continues to establish itself in the most diverse areas of
medicine at an increasingly fast pace. Nevertheless, many healthcare professionals lack the …

Objectives As current health technology assessment (HTA) frameworks do not provide
specific guidance on the assessment of medical artificial intelligence (AI), this study aimed to …

The reimbursement of artificial intelligence (AI)–based medical devices (MDs) is a complex
and challenging issue, depending on national market access pathways. We aim to analyze …

Background The delay in diagnosis for rare disease (RD) patients is often longer than for
patients with common diseases. Machine learning (ML) technologies have the potential to …

Medical devices have increased in complexity where there is a pressing need to consider
design thinking and specialist training for manufacturers, healthcare and sterilization …

Supportive care in cancer involves preventing or managing the symptoms of cancer and the
side effects of treatment, and encompasses physical, psychosocial and spiritual adverse …

Der Einsatz von künstlicher Intelligenz (KI) setzt sich in den verschiedensten Bereichen der
Medizin immer schneller durch. Dennoch fehlt vielen medizinischen Kollegen das …

Objetivos. Analizar el rendimiento diagnóstico de un algoritmo ecográfico que incluye el
tiempo de desaceleración precoz del flujo mitral (TD) para establecer el diagnóstico de …

146 nagement of care demand flows and organization of services, 13 whether by telephone
or in person in the ED, as well as in the management of mobile resources. 14, 15 An issue …