Improving community health-care screenings with smartphone-based AI technologies

Health Care, Capabilities, and AI Assistive Technologies

Scenarios involving the introduction of artificially intelligent (AI) assistive technologies in health care practices raise several ethical issues. In this paper, I discuss four objections to introducing AI assistive technologies in health care practices as replacements of human care. I analyse them as demands for felt care, good care, private care, and real care. I argue that although these ob...

Smartphone hearing screening in mHealth assisted community-based primary care.

INTRODUCTION Access to ear and hearing health is a challenge in developing countries, where the burden of disabling hearing loss is greatest. This study investigated community-based identification of hearing loss using smartphone hearing screening (hearScreen™) operated by community health workers (CHWs) in terms of clinical efficacy and the reported experiences of CHWs. METHOD The study comp...

Improving Search-Based AI Systems

Smartphone-Based Food Diagnostic Technologies: A Review

A new generation of mobile sensing approaches offers significant advantages over traditional platforms in terms of test speed, control, low cost, ease-of-operation, and data management, and requires minimal equipment and user involvement. The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications inc...

Improving diabetes care in midwest community health centers with the health disparities collaborative.

OBJECTIVE To evaluate the Diabetes Health Disparities Collaborative, an initiative by the Bureau of Primary Health Care to reduce health disparities and improve the quality of diabetes care in community health centers. RESEARCH DESIGN AND METHODS One year before- after trial. Beginning in 1998, 19 Midwestern health centers undertook a diabetes quality improvement initiative based on a model i...