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| http://dx.doi.org/10.1111/dth.14040 | DOI Listing |
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When Are Single Reader Evaluations Insufficient in Teledermoscopic Assessments? Analyses of a Retrospective Cohort Study.
Telemed J E Health
January 2025
Department of Clinical Sciences, Dermatology and Venereology, Lund Skin Cancer Research Group, Lund University, Lund, Sweden.
Teledermoscopy (TDS) emerges as an efficient tool for diagnosing skin lesions. In Sweden, double reading is the standard of care, but risk factors for misdiagnosis or mismanagement using single reader evaluations (SRE) are not well-studied. This study aimed to assess the accuracy of SRE compared with the gold standard in TDS.
View Article and Find Full Text PDF[Implementation of teledermatological consultations at Leipzig University Medical Center].
Dermatologie (Heidelb)
January 2025
Klinik und Poliklinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Leipzig AöR, Philipp-Rosenthal-Str. 23, 04103, Leipzig, Deutschland.
Background: Numerous patients admitted to a general hospital present skin changes as secondary findings. Approximately 800 dermatological consultations are performed annually at the Leipzig University Medical Center.
Objectives: The aim of this study was, after implementation of teledermatological consulting, the retrospective evaluation of that and the resulting satisfaction of the physicians involved.
Evaluating the Diagnostic Accuracy and Challenges of the Two-Week Wait Referral Pathway for Skin Cancers in Primary Care.
Cureus
January 2025
Consultation-Liaison Psychiatry, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, GBR.
Skin cancers are among the most common cancers in the Western world, with incidence rates increasing significantly over time. Skin cancer survival rates are highly dependent upon early identification. In the United Kingdom (UK), initial assessment of skin lesions is carried out via general practitioners (GPs) who identify and refer suspected cases under the two-week pathway in compliance with the National Institute for Health and Care Excellence (NICE) guidelines.
View Article and Find Full Text PDFThe use of a ChatGPT-4-based chatbot in teledermatology: A retrospective exploratory study.
J Dtsch Dermatol Ges
January 2025
Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Faculty of Medical and Health Sciences, Tel Aviv University, Israel.
Background And Objectives: Integration of artificial intelligence in healthcare, particularly ChatGPT, is transforming medical diagnostics and may benefit teledermatology. This exploratory study compared image description and differential diagnosis generation by a ChatGPT-4 based chatbot with human teledermatologists.
Patients And Methods: This retrospective study compared 154 teledermatology consultations (December 2023-February 2024) with ChatGPT-4's performance in image descriptions and diagnoses.
Predicting benefit from PARP inhibitors using deep learning on H&E-stained ovarian cancer slides.
Eur J Cancer
December 2024
Division of Digital Prevention, Diagnostics and Therapy Guidance, German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address:
Article Synopsis
- Ovarian cancer patients with Homologous Recombination Deficiency (HRD) may benefit from PARP inhibitor therapy after platinum chemotherapy, and predicting this benefit through whole slide images (WSIs) could provide a quicker and less costly alternative to molecular tests.
- A Deep Learning (DL) model was trained on H&E stained WSIs using a specific HRD ground truth, and it was tested on a separate cohort to see how well it predicted HRD status and the benefit of olaparib treatment.
- Although the model showed potential, with a significant improvement in progression-free survival (PFS) for HRD positive patients treated with PARP inhibitors, its overall prediction accuracy was lower than desired, indicating that further
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