Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.

Purpose To investigate the issues of generalizability and replication of deep learning models by assessing performance of a screening mammography deep learning system developed at New York University (NYU) on a local Australian dataset. Materials and Methods In this retrospective study, all individuals with biopsy or surgical pathology-proven lesions and age-matched controls were identified from a South Australian public mammography screening program (January 2010 to December 2016). The primary outcome was deep learning system performance-measured with area under the receiver operating characteristic curve (AUC)-in classifying invasive breast cancer or ductal carcinoma in situ ( = 425) versus no malignancy ( = 490) or benign lesions ( = 44).

Fluorescent Molecular Imaging Can Improve Intraoperative Sentinel Margin Detection in Oral Squamous Cell Carcinoma.

In head and neck cancer, a major limitation of current intraoperative margin analysis is the ability to detect areas most likely to be positive based on specimen palpation, especially for larger specimens where sampling error limits detection of positive margins. This study aims to prospectively examine the clinical value of fluorescent molecular imaging to accurately identify "the sentinel margin," the point on a specimen at which the tumor lies closest to the resected edge in real-time during frozen section analysis. Eighteen patients with oral squamous cell carcinoma were enrolled into a prospective clinical trial and infused intravenously with 50 mg of panitumumab-IRDye800CW 1-5 d before surgery.

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology.

Artificial intelligence technology has advanced rapidly in recent years and has the potential to improve healthcare outcomes. However, technology uptake will be largely driven by clinicians, and there is a paucity of data regarding the attitude that clinicians have to this new technology. In June-August 2019 we conducted an online survey of fellows and trainees of three specialty colleges (ophthalmology, radiology/radiation oncology, dermatology) in Australia and New Zealand on artificial intelligence.

Predicting Professional Examination Outcomes: A Case of the Registered Health Information Administration Certification Examination.

Purpose: To determine whether differences existed among candidates for the Registered Health Information Administrator (RHIA) certification examination that may have characterized the likelihood of acquiring professional certification upon graduation.

Methods: Records of total of 197 former students were acquired from accredited health information administration education programs located across the United States.

Results: Final course grades in coding and introduction to health information administration and professional curriculum grade point average were strongly associated with the RHIA examination score.

Acute myocardial infarction and race, sex, and insurance types: unequal processes of care.

Cardiovascular disease is the leading cause of death among men and women in the United States. Georgia's death rate from cardiovascular disease is higher than the national rate. Previous studies have suggested that whites and African Americans do not receive the same processes of care for a first episode of acute myocardial infarction, one of many cardiovascular disease pathologies.

An analysis of computerization in primary care practices.

To remain profitable, primary care practices, the front-line health care providers, must provide excellent patient care and reduce expenses while providing payers with accurate data. Many primary care practices have turned to computer technology to achieve these goals. This study examined the degree of computerization of primary care providers in the Augusta, Georgia, metropolitan area as well as the level of awareness of the Health Insurance Portability and Accountability Act (HIPAA) by primary care providers and its potential effect on their future computerization plans.