Automatically understanding the content of medical images and delivering accurate
descriptions is an emerging field of artificial intelligence that combines skills in both …

Every year physicians face an increasing demand of image-based diagnosis from patients, a
problem that can be addressed with recent artificial intelligence methods. In this context, we …

Ultrasound is the primary modality for obstetric imaging and is highly sonographer
dependent. Long training period, insufficient recruitment and poor retention of sonographers …

In this work, we present a novel gaze-assisted natural language processing (NLP)-based
video captioning model to describe routine second-trimester fetal ultrasound scan videos in …

Background A radiology report communicates the imaging findings to the referring clinicians.
The rising number of referrals has created a bottleneck in healthcare. Writing a report takes …

Histopathological identification of tumor tissue is one of the routine pathological diagnoses
for pathologists. Recently, computational pathology has been successfully interpreted by a …

Telemedicine is perhaps the most rapidly growing area in health care. Approximately 15
million Americans receive medical assistance remotely every year. Yet rural communities …

Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-
time during diagnostic and therapeutic procedures. High operator dependency and low …

Telementoring surgeons as they perform surgery can be essential in the treatment of
patients when in situ expertise is not available. Nonetheless, expert mentors are often …

Mit dem Fortschreiten der längst notwendigen Digitalisierung werden täglich riesige
Mengen an medizinischen Daten generiert, deren manuelle Analyse und zielgerichtete …