Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Multidisciplinary Reviews, Год журнала: 2025, Номер 8(10), С. 2025280 - 2025280
Опубликована: Апрель 4, 2025
Generalized anxiety disorder (GAD) is a prevalent mental health condition characterized by excessive worry and anxiety, often impairing daily functioning quality of life. The occurrence Anxiety Disorder higher in females than males. Traditional approaches to diagnosing managing GAD rely heavily on subjective assessments, including self-report questionnaires clinician evaluations, resource-intensive therapeutic interventions such as cognitive-behavioral therapy (CBT) medication. However, recent advancements artificial intelligence (AI) have opened new innovative avenues for enhancing healthcare delivery. AI-driven tools, machine learning algorithms, natural language processing (NLP), wearable sensors, offer promising solutions the early accurate diagnosis, personalized treatment, remote monitoring patients with GAD. AI technologies enable analysis speech, text, physiological data detect symptoms remarkable precision, allowing earlier more clinical assessments. Furthermore, AI-powered chatbots, virtual reality therapies, digital platforms provide scalable cost-effective treatment options, improving accessibility services, especially underserved or rural areas. Despite these benefits, integration care faces several challenges, concerns about privacy, algorithmic biases, ethical considerations regarding replacement human therapists. This review explores applications GAD, emphasizing its potential transform practices. Key findings from literature highlight AI’s ability increase diagnostic accuracy, improve efficiency, patient engagement, whereas future research must address regulatory, implementation, barriers fully realize impact care.
Язык: Английский
Процитировано
0Enfermería Clínica, Год журнала: 2025, Номер 35(3), С. 502264 - 502264
Опубликована: Май 1, 2025
Процитировано
0Asian Journal of Psychiatry, Год журнала: 2024, Номер 97, С. 104067 - 104067
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
2Global Journal on Quality and Safety in Healthcare, Год журнала: 2024, Номер 7(3), С. 132 - 139
Опубликована: Июнь 17, 2024
This policy analysis focuses on harnessing the power of artificial intelligence (AI) in hospital quality improvement to transform and patient safety. It examines application AI at two following fundamental levels: (1) diagnostic treatment (2) clinical operations. applications diagnostics directly impact care At same time, indirectly influences safety operations level by streamlining operational efficiency, risk assessment, (3) predictive analytics, (4) indicators reporting, (5) staff training education. The challenges future perspectives healthcare, encompassing technological, ethical, other considerations, are also critically analyzed.
Язык: Английский
Процитировано
2Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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