Digitale Transformation in der Urologie – Chance, Risiko oder Notwendigkeit?

Implementation and Outcomes of Virtual Care Across a Tertiary Cancer Center During COVID-19

(2021) Alejandro Berlin et al.   JAMA Oncology

Artificial Intelligence and Its Impact on Urological Diseases and Management: A Comprehensive Review of the Literature

(2021) B. M. Zeeshan Hameed et al.   Journal of Clinical Medicine

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

(2020) Kunal Nagpal et al.   JAMA Oncology

Künstliche Intelligenz

(2020) A. Schreiber et al.   UROLOGE

Current status of artificial intelligence applications in urology and their potential to influence clinical practice

(2019) Jian Chen et al.   BJU INTERNATIONAL

Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer

(2019) Rodrigo Suarez-Ibarrola et al.   WORLD JOURNAL OF UROLOGY

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

(2018) Eirini Arvaniti et al.   Scientific Reports

Künstliche Intelligenz und neuronale Netze in der Urologie

(2018) Christoph-Alexander J. von Klot et al.   UROLOGE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Internal Fusion: exact correlation of transrectal ultrasound images of the prostate by detailed landmarks over time for targeted biopsies or follow-up

(2017) Yanqi Xie et al.   WORLD JOURNAL OF UROLOGY

A 12-year follow-up of ANNA/C-TRUS image-targeted biopsies in patients suspicious for prostate cancer

(2017) Theodoros Tokas et al.   WORLD JOURNAL OF UROLOGY

Artificial intelligence in healthcare: past, present and future

(2017) Fei Jiang et al.   JOURNAL OF INVESTIGATIVE MEDICINE