Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Ноя. 1, 2024
Язык: Английский
Public Health Nursing, Год журнала: 2024, Номер unknown
Опубликована: Дек. 4, 2024
ABSTRACT Background Artificial intelligence now encompasses technologies like machine learning, natural language processing, and robotics, allowing machines to undertake complex tasks traditionally done by humans. AI's application in healthcare has led advancements diagnostic tools, predictive analytics, surgical precision. Aim This comprehensive review aims explore the transformative impact of AI across diverse domains, highlighting its applications, advancements, challenges, contributions enhancing patient care. Methodology A literature search was conducted multiple databases, covering publications from 2014 2024. Keywords related applications were used gather data, focusing on studies exploring role medical specialties. Results demonstrated substantial benefits various fields medicine. In cardiology, it aids automated image interpretation, risk prediction, management cardiovascular diseases. oncology, enhances cancer detection, treatment planning, personalized drug selection. Radiology improved analysis accuracy, while critical care sees triage resource optimization. integration into pediatrics, surgery, public health, neurology, pathology, mental health similarly shown significant improvements precision, treatment, overall The implementation low‐resource settings been particularly impactful, access advanced tools treatments. Conclusion is rapidly changing industry greatly increasing accuracy diagnoses, streamlining plans, improving outcomes a variety specializations. underscores potential, early disease detection ability augment delivery, resource‐limited settings.
Язык: Английский
Процитировано
6
Cureus, Год журнала: 2024, Номер unknown
Опубликована: Авг. 5, 2024
Prostate cancer remains a significant global health challenge, characterized by high incidence and substantial morbidity mortality rates. Early detection is critical for improving patient outcomes, yet current diagnostic methods have limitations in accuracy reliability. Artificial intelligence (AI) has emerged as promising tool to address these challenges prostate care. AI technologies, including machine learning algorithms advanced imaging techniques, offer potential solutions enhance accuracy, optimize treatment strategies, personalize This review explores the landscape of applications diagnostics, highlighting state-of-the-art tools their clinical implications. By synthesizing recent advancements discussing future directions, underscores transformative revolutionizing diagnosis management. Ultimately, integrating into practice can potentially improve outcomes quality life patients affected cancer.
Язык: Английский
Процитировано
4
Опубликована: Авг. 16, 2024
Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed examine specific fears, anxieties, mistrust, and ethical students could harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics comprising 12 items, three items for each construct. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35±2.78), followed by construct 10.86±2.90), Fear 9.49±3.53), Anxiety 8.91±3.68). Sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs scale. Prior exposure previous use modify These findings highlighted critical need refined educational strategies address integration training. demonstrated pervasive anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifi-cations that focus specifically these areas. Interventions should be tailored increase familiarity competency, which would alleviate apprehension equip physicians engage this inevitable technology effectively. study also importance incorporating discussions into courses mistrust human-centered aspects Conclusively, calls proactive evolution education prepare AI-driven healthcare practices shortly ensure well-prepared, confident, ethically informed professional interactions technologies.
Язык: Английский
Процитировано
4
Geriatric Nursing, Год журнала: 2024, Номер 61, С. 41 - 49
Опубликована: Ноя. 14, 2024
Язык: Английский
Процитировано
4
Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
4