Dermatology

Latest AI and machine learning research in dermatology for healthcare professionals.

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Subcategories: Atopy Psoriasis
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Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achi...

Non-invasive prediction of the secondary enucleation risk in uveal melanoma based on pretreatment CT and MRI prior to stereotactic radiotherapy.

PURPOSE: The aim of this study was to develop a radiomic model to non-invasively predict the risk of...

Enhancing B-mode-based breast cancer diagnosis via cross-attention fusion of H-scan and Nakagami imaging with multi-CAM-QUS-driven XAI.

OBJECTIVE: B-mode ultrasound is widely employed for breast lesion diagnosis due to its affordability...

Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. T...

Fifty years of monoclonals: the past, present and future of antibody therapeutics.

In 1975, Köhler and Milstein invented hybridoma technology for the generation of murine monoclonal a...

Novel radiotherapy target definition using AI-driven predictions of glioblastoma recurrence from metabolic and diffusion MRI.

The current standard-of-care (SOC) practice for defining the clinical target volume (CTV) for radiat...

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous im...

Challenges and Opportunities in Psoriatic Disease: An Integrated View of the Future.

Psoriatic disease (PsD), which includes cutaneous psoriasis (PsO) and psoriatic arthritis (PsA), aff...

Hot Topics: Exploring Artificial Intelligence and Inflammatory Memory in the Management of Psoriatic Diseases.

The "hot topics" session of the Group for Research and Assessment of Psoriasis and Psoriatic Arthrit...

The Scientific Method and Advancing Omic Technologies: Breakthroughs in Psoriatic Disease.

A morning workshop addressing the topic of "What You Always Wanted to Know About Science but Were Af...

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and e...

Quantifying the Predictability of Lesion Growth and Its Contribution to Quantitative Resistance Using Field Phenomics.

Measuring individual components of pathogen reproduction is key to understanding mechanisms underlyi...

Adapting foundation models for rapid clinical response: intracerebral hemorrhage segmentation in emergency settings.

Intracerebral hemorrhage (ICH) is a medical emergency that demands rapid and accurate diagnosis for ...

New Release of User-Captured Images from the Oregon Health & Science University Melanoma MoleMapper Project.

We announce the release of the OHSU MoleMapper Smartphone Skin Images dataset which contains over si...

Comparison of performance of cervical cancer grading based on acetowhite areas.

Cervical cancer ranks fourth globally in terms of both incidence and mortality among women, making t...

Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...

CRISPR-GPT for agentic automation of gene-editing experiments.

Performing effective gene-editing experiments requires a deep understanding of both the CRISPR techn...

Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study.

Purpose To develop and optimize a federated learning (FL) framework across multiple clients for bip...

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