Latest AI and machine learning research in dermatology for healthcare professionals.
IMPORTANCE: Pleomorphic dermal sarcomas (PDSs) are classified as sarcomas; however, they share features with cutaneous carcinomas, such as presentation on sun-exposed areas and high tumor mutational burden (TMB). Data regarding management of PDS are limited, and it is unclear whether sarcoma or cutaneous cancer treatment paradigms should apply. At present, there are no published data comparing the...
BACKGROUND: Non-communicable inflammatory skin diseases (ncISDs) comprise over 100 conditions with overlapping clinical features. Current classification systems are largely based on morphology and do not adequately reflect underlying molecular mechanisms, limiting the implementation of precision therapies. OBJECTIVE: To establish a data-driven, molecular framework for stratifying ncISDs independen...
MicroRNAs (miRNAs) have been studied in cutaneous T-cell lymphoma (CTCL) for more than 15 years, revealing oncogenic and tumor-suppressive networks, t...
Accurate breast tumor segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is vital for diagnosis and treatment planning. De...
OBJECTIVE: This study aimed to develop and validate a deep learning framework to classify chronic venous insufficiency - related skin lesions and diff...
BACKGROUND: Lipoprotein(a) [Lp(a)] reflects inherited atherothrombotic risk, whereas the C-reactive protein-triglyceride-glucose index (CTI) integrate...
BACKGROUND: Dedicated service for Barrett's oesophagus (BO) surveillance may be more effective than conventional service, according to some single cen...
BACKGROUND: Deep learning has shown promising performance in cervical cytology; however, many studies have relied on presegmented single-cell images r...
Atypical glandular cells (AGC) are a diagnostic challenge. The aim of this study was to evaluate the efficacy and diagnostic performance of AGC detect...
BACKGROUND: Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underly...
OBJECTIVE: This study aimed to develop and validate an artificial intelligence (AI)-based skin assessment framework capable of predicting both dermato...
BACKGROUND: Artificial Intelligence (AI) models for mammography classification is prone to shortcut learning because diagnostically relevant evidence ...
Noninvasive wearable sweat sensors are promising for personalized health management, yet their widespread adoption is hindered by complex multi-compon...
Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute carrier family 52 member A2 (SLC52A2) in mediatin...
Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) provides rich molecular imaging across the prostate ...
Skin cancer is among the most common malignant tumors worldwide, and early detection is essential to improve patient survival and recovery. Convention...
Prostate-specific membrane antigen positron emission tomography (PSMA-PET) has become pivotal in prostate cancer (PCa) management, offering superior s...
OBJECTIVES: Various non-invasive diagnostic techniques have been developed and assessed to improve early detection and monitoring of oral squamous cel...
Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-cell neoplasms defined by integrated clinical, his...
Part III of our three-part series addresses the human, strategic, and forward-looking considerations associated with the adoption of digital pathology...