Decoding pathology: the role of computational pathology in research and diagnostics
DL Hölscher, RD Bülow - Pflügers Archiv-European Journal of Physiology, 2024 - Springer
Traditional histopathology, characterized by manual quantifications and assessments, faces
challenges such as low-throughput and inter-observer variability that hinder the introduction …
challenges such as low-throughput and inter-observer variability that hinder the introduction …
Deep learning applications in digital pathology
P Boor - Nature Reviews Nephrology, 2024 - nature.com
Deep Learning (DL) holds great promise to improve patient outcomes by improving the
precision and speed of disease diagnosis and treatment recommendations. Given the …
precision and speed of disease diagnosis and treatment recommendations. Given the …
[HTML][HTML] Measurement Matters: A Metrological Approach to Renal Preimplantation Biopsy Evaluation to Address Uncertainty in Organ Selection
JOO Ayorinde, X Loizeau, V Bardsley… - Transplantation …, 2024 - journals.lww.com
Background. Preimplantation biopsy combines measurements of injury into a composite
index to inform organ acceptance. The uncertainty in these measurements remains poorly …
index to inform organ acceptance. The uncertainty in these measurements remains poorly …
Improving frozen section evaluation of procurement donor kidney biopsies and reducing the discard rate: a promising role for artificial intelligence
M Haas - Kidney International, 2024 - Elsevier
There is a worldwide shortage of deceased-donor kidneys available for transplantation, with
too many patients dying while on waiting lists for organs. Meanwhile, and particularly in the …
too many patients dying while on waiting lists for organs. Meanwhile, and particularly in the …
The transformative potential of artificial intelligence in solid organ transplantation
M Al Moussawy, ZS Lakkis, ZA Ansari… - Frontiers in …, 2024 - frontiersin.org
Solid organ transplantation confronts numerous challenges ranging from donor organ
shortage to post-transplant complications. Here, we provide an overview of the latest …
shortage to post-transplant complications. Here, we provide an overview of the latest …
Künstliche Intelligenz in der Nierentransplantationspathologie
Hintergrund Auf künstlicher Intelligenz (KI) beruhende Systeme konnten mit guten
Ergebnissen in der digitalen Pathologie und so auch in der digitalen Nephropathologie …
Ergebnissen in der digitalen Pathologie und so auch in der digitalen Nephropathologie …
Τεχνητή Νοημοσύνη και Μεταμοσχεύσεις Καρδιάς και Πνεύμονα: Διερεύνηση και Ανάλυση των Επιπτώσεων στην Υγεία και Ποιότητα ζωής των Ασθενών-Συστηματική …
ΓΧ Σαργιώτης - 2024 - polynoe.lib.uniwa.gr
Εισαγωγή: Η αποτελεσματικότητα και η ικανότητα των μοντέλων τεχνητής νοημοσύνης να
προβλέπουν τα μετα-μεταμοσχευτικά αποτελέσματα υγείας, είναι υπό αμφισβήτηση. Το …
προβλέπουν τα μετα-μεταμοσχευτικά αποτελέσματα υγείας, είναι υπό αμφισβήτηση. Το …
[PDF][PDF] 1 Measurement matters: A Metrological Approach to Renal Pre-implantation Biopsy Evaluation to address uncertainty in organ selection.
JOOAMD UK, X Loizeau, GJ Pettigrew - repository.cam.ac.uk
Background: Pre-implantation biopsy combines measurements of injury into a composite
index to inform organ acceptance. The uncertainty in these measurements remains poorly …
index to inform organ acceptance. The uncertainty in these measurements remains poorly …