AIMC Topic: Skin Neoplasms
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Patient research priorities in melanoma: a national qualitative interview study.
The British journal of dermatology
May 19, 2025
BACKGROUND: Outcomes for advanced melanoma have improved following the advent of immunotherapy and targeted therapy. This heralds a need for reconsideration of future research agendas. Patients can - and are keen to - help identify and prioritize res...
Enhancing basal cell carcinoma classification in preoperative biopsies via transfer learning with weakly supervised graph transformers.
BMC medical imaging
May 16, 2025
BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, placing a significant burden on healthcare systems globally. Developing high-precision automated diagnostics requires large annotated datasets, which are costly and difficult to o...
Towards Skin Cancer Detection Through Low Resolution Images.
Studies in health technology and informatics
May 15, 2025
Currently, dermatologists need to check numerous image reports (high resolution) for diagnosing skin conditions, and Machine Learning (ML) models can help with this tedious task. However, current ML models usually work best with high-quality images i...
Exploring Differential Diagnosis-Based Explainable AI: A Case Study in Melanoma Detection.
Studies in health technology and informatics
May 15, 2025
Melanoma is a significant global health concern, with rising incidence rates and high mortality when diagnosed late. Artificial Intelligence (AI) models, especially models using deep learning techniques, have shown promising results in melanoma detec...
Formative Usability Testing of Artificial Intelligence in Pathology: The Challenge of Assessing Acceptability.
Studies in health technology and informatics
May 15, 2025
Digital Pathology has provided a platform to use Artificial Intelligence (AI) to assist pathologists with diagnosis and reporting. An AI tool is being developed that analyzes digital Hematoxylin and Eosin (stained tissue) images associated with a ski...
A fusocelular skin dataset with whole slide images for deep learning models.
Scientific data
May 14, 2025
Cutaneous spindle cell (CSC) lesions encompass a spectrum from benign to malignant neoplasms, often posing significant diagnostic challenges. Computer-aided diagnosis systems offer a promising solution to make pathologists' decisions objective and fa...
A customizable P hydrogel applicator for brachytherapy of skin hemangioma based on machine learning and 3D-printing.
Journal of materials chemistry. B
May 14, 2025
Skin hemangioma is a tumor originating from skin blood vessels, which often occurs in infants and children. Brachytherapy with the P-based radionuclide applicator is an effective non-invasive therapeutic method. However, the inordinance of lesions is...
Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.
BMC cancer
May 9, 2025
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...
[ARTIFICIAL INTELLIGENCE-ASSISTED LITERATURE REVIEW: A CASE STUDY IN FUMARATE HYDRATASE-DEFICIENT RENAL CELL CARCINOMA].
Harefuah
May 1, 2025
Fumarate hydratase-deficient renal cell carcinoma (FHdRCC) is a rare and aggressive form of kidney cancer that presents significant therapeutic challenges. Due to its rarity, treatment decisions often rely on comprehensive literature reviews to ident...
Deep Learning-Based Classification of Early-Stage Mycosis Fungoides and Benign Inflammatory Dermatoses on H&E-Stained Whole-Slide Images: A Retrospective, Proof-of-Concept Study.
The Journal of investigative dermatology
May 1, 2025
The diagnosis of early-stage mycosis fungoides (MF) is challenging owing to shared clinical and histopathological features with benign inflammatory dermatoses. Recent evidence has shown that deep learning (DL) can assist pathologists in cancer classi...
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