AIMC Topic: Melanoma

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The value of convolutional neural networks in the diagnosis of melanoma simulators.

Journal of the European Academy of Dermatology and Venereology : JEADV Jun 1, 2020
Humans Neural Networks, Computer Melanoma
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Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study.

JAMA dermatology May 1, 2020
IMPORTANCE: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Althou...
Interviews as Topic Health Services Accessibility Mass Screening Early Detection of Cancer Male Middle Aged Qualitative Research Grounded Theory Artificial Intelligence Skin Neoplasms Reproducibility of Results Female Humans Melanoma Aged Adult Physician-Patient Relations Biopsy Observer Variation Patient Acceptance of Health Care
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Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier.

Journal of cancer research and therapeutics Jan 1, 2020
CONTEXT: Skin cancer is a complex and life-threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations.
Humans Algorithms Melanoma Support Vector Machine Fuzzy Logic Cluster Analysis Skin Neoplasms Dermoscopy Image Processing, Computer-Assisted
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Artificial intelligence for melanoma diagnosis: how can we deliver on the promise?

Annals of oncology : official journal of the European Society for Medical Oncology Dec 1, 2019
Humans Artificial Intelligence Dermatologists Algorithms Melanoma Male Deep Learning
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Enhancing Case Capture, Quality, and Completeness of Primary Melanoma Pathology Records via Natural Language Processing.

JCO clinical cancer informatics Aug 1, 2019
PURPOSE: Medical records contain a wealth of useful, informative data points valuable for clinical research. Most data points are stored in semistructured or unstructured legacy documents and require manual data abstraction into a structured format t...
Algorithms Databases, Factual Electronic Health Records Melanoma Natural Language Processing Medical Oncology Information Storage and Retrieval Humans
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Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

American journal of clinical oncology Aug 1, 2019
OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent years because of the advent of antibodies targeting programmed cell death protein-1 (PD1). However, the response rate is ~40% and baseline biomarkers for ...
Neoplasms, Unknown Primary Uveal Neoplasms Programmed Cell Death 1 Receptor L-Lactate Dehydrogenase Lymphocyte Count Survival Rate Male Middle Aged Treatment Outcome Neutrophils Age Factors Mucous Membrane Female Melanoma Skin Neoplasms Aged Neural Networks, Computer Forecasting Retrospective Studies Humans
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Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
We propose an approach based on a convolutional neural network to classify skin lesions using the reflectance confocal microscopy (RCM) mosaics. Skin cancers are the most common type of cancers and a correct, early diagnosis significantly lowers both...
Humans Sensitivity and Specificity Neural Networks, Computer Microscopy, Confocal Skin Neoplasms Nevus, Pigmented Melanoma Carcinoma, Basal Cell Dermoscopy
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Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

Annals of oncology : official journal of the European Society for Medical Oncology Jun 1, 2019
INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algori...
Carcinoma, Non-Small-Cell Lung Follow-Up Studies Predictive Value of Tests Programmed Cell Death 1 Receptor Survival Rate Humans Lung Neoplasms Artificial Intelligence Immunotherapy Machine Learning Prognosis Antineoplastic Combined Chemotherapy Protocols Algorithms Tomography, X-Ray Computed Melanoma
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Machine Learning in Medicine.

The New England journal of medicine Apr 4, 2019
Melanoma Skin Neoplasms Male Middle Aged Workflow Humans Medical Informatics Machine Learning Medical Records Systems, Computerized Decision Making, Computer-Assisted
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Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

European journal of dermatology : EJD Apr 1, 2019
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and dermoscopic inspection of a lesion. Diagnostic tools such as the different types of dermoscopy, confocal microscopy and optical coherence tomography (OCT)...
Algorithms Sensitivity and Specificity Melanocytes Microscopy, Confocal Tomography, Optical Coherence Deep Learning Humans Melanoma Skin Image Processing, Computer-Assisted Skin Neoplasms Neural Networks, Computer Dermatology Dermoscopy Artificial Intelligence
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