Recognition of Dermatoscopic Characteristics of Neck Melanomas May Facilitate Earlier Diagnosis
A retrospective study of neck lesions sought to determine the clinical and dermatoscopic characteristics of melanomas on the neck vs nevi.
Diagnostic Imaging
Use of Artificial Intelligence on Camera-Based Images of Skin Lesions Shows Promise in the Diagnosis of Melanoma
Researchers investigated the use of artificial intelligence to evaluate skin lesions suspicious for melanoma in camera-based images as a potential decision-support tool.
Collaboration, Clinician Training Can Eliminate Need for Prior Authorization From Payers
After an assessment of prior authorizations for imaging studies demonstrated potential waste, a health care system and a large commercial payer collaborated to streamline patient care.
AI Assists in Reading of Digital Breast Tomosynthesis Images
Concurrent use of AI system improves cancer detection, reduces reading time and recall rate.
AI Tool Discerns Lung Cancer Outcomes From Imaging Reports
Deep natural language processing used to detect presence of lung cancer and treatment response.
Use of 3-D Mammography Rapidly Expanded From 2015 to 2017
Adoption varied widely by region; uptake more rapid in areas with greater socioeconomic resources.
PET/CT Imaging for Recurrent PCa Detection More Accurate With PSMA
In a head-to-head comparative study involving PCa patients with early biochemical recurrence following radical surgery, PSMA PET/CT had significantly higher cancer detection rates than fluciclovine PET/CT.
Imaging Studies Critical in Distinguishing Extramedullary Disease in Multiple Myeloma Diagnosis
This case illustrates the role of PET/CT imaging at diagnosis in determining extramedullary disease in patients with multiple myeloma.
Systemic Imaging Not Effective in Detecting Metastatic Disease in Early-Stage Breast Cancer
Study measures the usefulness of systemic imaging in early-stage breast cancer.
Deep Learning Algorithm Can Identify Mammographic Breast Density
Researchers conducted a retrospective study to develop a DL algorithm to assess mammographic breast density.
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