Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Cutaneous adnexal tumors are a diverse group of tumors arising from structures of the hair appendages. Although often benign, malignant entities occur which can metastasize and lead to patients´ death. Correct diagnosis is critical to ensure optimal treatment and best possible patient outcome. Artificial intelligence (AI) in the form of deep neural networks has recently shown enormous ...
INTRODUCTION: Treatment of nail psoriasis is challenging. Systemic therapies may be difficult to justify, while topical therapies may be sup-optimal. Triamcinolone acetonide (TA) injections are recommended as first-line therapy in cases with less than 3 nails involved; however, limited studies are available. This study was conducted to evaluate the reduction in NAPSI (Nail Psoriasis Severity Index...
The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors in making prompt and well-informed treatment choices. A...
Coronary artery disease (CAD) remains a significant global health concern with considerable high morbidity and mortality and its development is influe...
BACKGROUND: The precise prediction of epidermal growth factor receptor (EGFR) mutation status and gross tumor volume (GTV) segmentation are crucial go...
ETHNOPHARMACOLOGICAL RELEVANCE: As a traditional Chinese medicine, Artemisia argyi has been used medicinally and eaten for more than 2000 years in Chi...
Hand eczema (HE) is a common condition seen in medical facilities, particularly during the COVID-19 pandemic. The effects of vitamin D on skin inflamm...
Intraoperative margin analysis is crucial for the successful removal of cutaneous squamous cell carcinomas (cSCC). Artificial intelligence technologie...
Continuous cutaneous urinary diversion is challenging when the appendix is physically unavailable. The Yang-Monti channel is an alternative to the tun...
OBJECTIVE: This work aimed to detect automatically periapical lesion on panoramic radiographs (PRs) using deep learning.
BACKGROUND/AIM: Skin lesions are commonly diagnosed and classified using dermoscopic images. There are many artifacts visible in dermoscopic images, i...
BACKGROUND: Frontoorbital distraction osteogenesis (FODO) is an established surgical technique for patients with unicoronal craniosynostosis. The auth...
BACKGROUND/OBJECTIVE: Patients with systemic mastocytosis are at high risk of developing osteoporosis and fractures. Herein, we report a case of hip f...
BACKGROUND: Institutes of dermatopathology are faced with considerable challenges including a continuously rising numbers of submitted specimens and a...
The peripheral nerves (PNs) innervate the dermis and epidermis, and are suggested to play an important role in wound healing. Several methods to quant...
INTRODUCTION: Psoriasis is a common chronic inflammatory condition, often beginning in childhood in approximately one-third of cases. It can be associ...
BACKGROUND: Cutaneous malignant melanoma (CMM) has the worst prognosis among skin cancers, especially metastatic CMM. Predicting its prognosis accurat...
Computer vision and deep learning have the potential to improve medical artificial intelligence (AI) by assisting in diagnosis, prediction, and progno...
Artificial intelligence (AI) is a field of computer science that involves the development of programs designed to replicate human cognitive processes ...