We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
THE GOOD, THE BAD AND THE UGLY IN APP DIAGNOSIS: OUTCOMES AND IMPLICATIONS BY EXAMPLE.
- Authors
Bolboacă, Sorana D.; Bulboacă, Adriana Elena
- Abstract
The Clinical Decision Support (CDS), a form of artificial intelligence (AI), consider physician expertise and cognitive function along with patient's data as the input and case-specific medical decision as an output. The improvements in physician's performances when using a CDS ranges from 13% to 68%. The AI applications are of large interest nowadays, and a lot of effort is also put in the development of IT applications in healthcare. Medical decision support systems for non-medical staff users (MDSS-NMSF) as phone applications are nowadays available on the market. A MDSS-NMSF app is generally not accompanied by a scientific evaluation of the performances, even if they are freely available or not. Two clinical scenarios were created, and Doctor31 retrieved the diagnosis decisions. First scenario: man, 29 years old, and three symptoms: dysphagia, weight loss (normal body mass index), and tiredness. Second scenario: women, 47 years old with L5-S1 disk herniation, abnormal anti-TPO antibodies, lower back pain (burning sensations), constipation, and tiredness. The outcome possible effects and implications, as well as vulnerabilities induced on the used, are highlighted and discussed.
- Subjects
ARTIFICIAL intelligence in medicine; DECISION support systems; COGNITIVE ability
- Publication
Studia Universitatis Babes-Bolyai, Bioethica (2011), 2021, Vol 65, p38
- ISSN
2247-0441
- Publication type
Article
- DOI
10.24193/subbbioethica.2021.spiss.16