Patient and physician perspectives on the use and outcome measures of mHealth apps: Exploratory survey and focus group study.

Objective: Factors that physicians and patients consider when making decisions about using or recommending health apps are not well understood. We explored these factors to better assess how to support such decision making.

Methods: We conducted an exploratory cross-sectional study in Ontario using qualitative focus groups and quantitative surveys.

Correction: Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review.

[This corrects the article DOI: 10.2196/12660.].

Computer-Aided Detection for Breast Cancer Screening in Clinical Settings: Scoping Review.

Background: With the growth of machine learning applications, the practice of medicine is evolving. Computer-aided detection (CAD) is a software technology that has become widespread in radiology practices, particularly in breast cancer screening for improving detection rates at earlier stages. Many studies have investigated the diagnostic accuracy of CAD, but its implementation in clinical settings has been largely overlooked.