Heliyon, Год журнала: 2024, Номер 11(1), С. e41331 - e41331
Опубликована: Дек. 18, 2024
Язык: Английский
World Journal of Orthopedics, Год журнала: 2024, Номер 15(11), С. 1023 - 1035
Опубликована: Ноя. 15, 2024
Язык: Английский
Процитировано
2
BMC Medical Ethics, Год журнала: 2024, Номер 25(1)
Опубликована: Ноя. 27, 2024
Язык: Английский
Процитировано
2
PLOS Digital Health, Год журнала: 2024, Номер 3(9), С. e0000421 - e0000421
Опубликована: Сен. 11, 2024
Mobile health applications called Digital Adherence Technologies (DATs), are increasingly used for improving treatment adherence among Tuberculosis patients to attain cure, and/or other chronic diseases requiring long-term and complex medication regimens. These DATs found be useful in resource-limited settings because of their cost efficiency reaching out vulnerable groups (providing pill clinic visit reminders, relevant information, motivational messages) or those staying remote rural areas. Despite growing ubiquity, there is very limited evidence on how improve healthcare outcomes. We analyzed the uptake an urban setting (DS-DOST, powered by Connect Life TM , Johnson & Johnson) different patient accessing TB services New Delhi, India, subsequently assessed its impact engagement This study aims understand patterns a digital technology follow-ups outcomes patients. Propensity choice modelling was create balanced treated untreated datasets, before applying simple ordinary least square logistic regression methods estimate causal intervention number made with After controlling potential confounders, it that who installed utilized DS-DOST application received average 6.4 (95% C.I. [5.32 7.557]) additional follow-ups, relative did not utilize application. translates 58% increase. They also had 245% higher likelihood success (Odds ratio: 3.458; 95% [1.709 6.996]).
Язык: Английский
Процитировано
1
American Journal of Pharmaceutical Education, Год журнала: 2024, Номер unknown, С. 101309 - 101309
Опубликована: Окт. 1, 2024
Язык: Английский
Процитировано
1
Pharmacogenomics, Год журнала: 2024, Номер unknown, С. 1 - 12
Опубликована: Ноя. 15, 2024
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing various scientific clinical disciplines including pharmacogenomics (PGx) by enabling the analysis of complex datasets development predictive models. The integration AI ML with PGx has potential to provide more precise, data-driven insights into new drug targets, efficacy, selection, risk adverse events. While significant effort develop validate these tools remain, ongoing advancements in technologies, coupled improvements data quality depth is anticipated drive transition practice delivery individualized treatments improved patient outcomes. successful AI-assisted will require careful consideration ethical, legal, social issues (ELSI) research practice. This paper explores intersection AI, highlighting current applications, ELSI privacy, oversight, provider knowledge acceptance, impact on patient-provider relationship roles.
Язык: Английский
Процитировано
1
Medical Teacher, Год журнала: 2024, Номер unknown, С. 1 - 14
Опубликована: Окт. 31, 2024
Background With the advancement of Artificial Intelligence (AI), it has had a profound impact on medical education. Understanding advantages and issues AI in education, providing guidance for educators, overcoming challenges implementation process is particularly important.
Язык: Английский
Процитировано
0
Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 261 - 276
Опубликована: Ноя. 22, 2024
Artificial Intelligence (AI) isn't just a fantasy from movies anymore – it's crucial part of how we live today, changing the way industries work and interact as society. This book proposal dives deep into AI is being used in real life, showing its big effects across different areas. We'll look at examples expert opinions to see making things run smoother helping us make better decisions healthcare, finance, transportation, manufacturing, education. Plus, we'll explore with social problems like crime sure resources get right places times need, aiming build fairer more sustainable world. But won't shy away tough stuff also talk about concerns privacy, job changes, fairness that come using AI. for anyone who wants understand shaping our world, whether you're researcher, leader business, policymaker, or curious what's coming next.
Язык: Английский
Процитировано
0
Heliyon, Год журнала: 2024, Номер 11(1), С. e41331 - e41331
Опубликована: Дек. 18, 2024
Язык: Английский
Процитировано
0