A5072653864- Cutaneous Melanoma Detection and Management
- Nonmelanoma Skin Cancer Studies
- Cutaneous lymphoproliferative disorders research
- Cancer and Skin Lesions
- Genetic and rare skin diseases.
- Nail Diseases and Treatments
- Dermatology and Skin Diseases
- Melanoma and MAPK Pathways
- Psoriasis: Treatment and Pathogenesis
- melanin and skin pigmentation
- Optical Coherence Tomography Applications
- Autoimmune Bullous Skin Diseases
- Infectious Diseases and Mycology
- Allergic Rhinitis and Sensitization
- Skin Protection and Aging
- Tumors and Oncological Cases
- Dermatological diseases and infestations
- Dermatologic Treatments and Research
- AI in cancer detection
- Cell Image Analysis Techniques
- Autoimmune and Inflammatory Disorders
- Dermatological and Skeletal Disorders
- Vascular Tumors and Angiosarcomas
- Asthma and respiratory diseases
- Medicine and Dermatology Studies History
University of Campania "Luigi Vanvitelli"
2016-2025
Azienda Ospedaliera Universitaria Università degli Studi della Campania Luigi Vanvitelli
2017-2025
University of Naples Federico II
2014-2024
Rzeszów University
2023
Hudson Institute
2018-2023
John Wiley & Sons (United Kingdom)
2018-2023
Oxfam
2018-2023
Liechtenstein Institute
2023
John Wiley & Sons (United States)
2018-2023
Massachusetts General Hospital
2023
To compare the reliability of a new 7-point checklist based on simplified epiluminescence microscopy (ELM) pattern analysis with ABCD rule dermatoscopy and standard for diagnosis clinically doubtful melanocytic skin lesions.In blind study, ELM images 342 histologically proven lesions were evaluated presence 7 criteria that we called "ELM checklist." For each lesion, "overall" "ABCD scored" diagnoses recorded. From training set 57 melanomas 139 atypical nonmelanomas, odds ratios calculated to...
We propose a multitask deep convolutional neural network, trained on multimodal data (clinical and dermoscopic images, patient metadata), to classify the 7-point melanoma checklist criteria perform skin lesion diagnosis. Our network is using several loss functions, where each considers different combinations of input modalities, which allows our model be robust missing at inference time. final classifies condition diagnosis, produces feature vectors suitable for image retrieval, localizes...
Dermoscopy is useful in evaluating skin tumours, but its applicability extends also to the field of inflammatory disorders. Plaque psoriasis (PP), dermatitis, lichen planus (LP) and pityriasis rosea (PR) are common diseases, little currently known about their dermoscopic features.To determine compare patterns associated with PP, LP PR assess validity certain criteria diagnosis PP.Patients were prospectively enrolled. The single most recently developed lesion was examined dermoscopically...
Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, most common types skin cancer are nonpigmented and nonmelanocytic, more difficult to diagnose.To compare a CNN-based classifier with that physicians different levels experience.A classification model was trained on 7895 dermoscopic 5829 close-up images lesions excised at primary clinic between January 1, 2008, July 13, 2017, for combined evaluation both imaging...
Significance Collective intelligence is considered to be one of the most promising approaches improve decision making. However, up now, little known about conditions underlying emergence collective in real-world contexts. Focusing on two key areas medical diagnostics (breast and skin cancer detection), we here show that similarity doctors’ accuracy a factor these This result paves way for innovative more effective making beyond, scientific analyses those approaches.
A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy melanoma diagnoses throughout patient pathway needed reduce pressure on secondary care and pathology services.To determine an artificial intelligence algorithm in identifying dermoscopic images taken with smartphone digital single-lens reflex (DSLR) cameras.This prospective, multicenter, single-arm, masked diagnostic trial took place dermatology plastic surgery...
We investigated whether human preferences hold the potential to improve diagnostic artificial intelligence (AI)-based decision support using skin cancer diagnosis as a use case. utilized nonuniform rewards and penalties based on expert-generated tables, balancing benefits harms of various errors, which were applied reinforcement learning. Compared with supervised learning, learning model improved sensitivity for melanoma from 61.4% 79.5% (95% confidence interval (CI): 73.5-85.6%) basal cell...
To describe the different vascular structures seen by dermoscopy and to evaluate their association with various melanocytic nonmelanocytic skin tumors in a large series of cases.Digital dermoscopic images lesions were evaluated for presence morphologic types vessels.Specialized university clinic.From larger database, 531 excised (from 517 patients) dermoscopically showing any type included.The frequency positive predictive value calculated, differences chi2 or Fisher exact test.Arborizing...
Purpose Primary care physicians (PCPs) constitute an appropriate target for new interventions and educational campaigns designed to increase skin cancer screening prevention. The aim of this randomized study was determine whether the adjunct dermoscopy standard clinical examination improves accuracy PCPs triage lesions suggestive cancer. Patients Methods in Barcelona, Spain, Naples, Italy, were given a 1-day training course detection dermoscopic evaluation, randomly assigned evaluation arm...
Background Dermoscopy improves the diagnostic accuracy in pigmented skin lesions, but it is also useful evaluation of nonpigmented tumours as allows recognition vascular structures that are not visible to naked eye. Bowen's disease (BD) or squamous cell carcinoma situ usually nonpigmented, may rarely be pigmented. Objective To describe dermoscopic features a series and BD. Methods Dermoscopic images 21 histopathologically proven BD were evaluated for presence various features. Each lesion...
<i>Background: </i>Dermoscopy used by experts has been demonstrated to improve the diagnostic accuracy for melanoma. However, little is known about validity of dermoscopy when nonexperts. <i>Objective: </i>To evaluate performance nonexperts using a new 3-point checklist based on simplified dermoscopic pattern analysis. <i>Methods: </i>Clinical and images 231 clinically equivocal histopathologically proven pigmented skin lesions were examined 6 1 expert in...
Journal Article Amelanotic/hypomelanotic melanoma: clinical and dermoscopic features Get access M.A. Pizzichetta, Pizzichetta Division of Medical Oncology C–Preventive Oncology, Centro di Riferimento Oncologico, Aviano, Via Pedemontana Occidentale 12, I‐33081 Italy *Epidemiology Unit, †Skin Cancer Ravenna–Niguarda Hospital, Milano, ‡Department Onco‐Immunodermatology, IDI, Rome, §Department Dermatology, Second University Naples, ¶Department Trieste, **Department Miami, USA ††Department Graz,...