Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(4)

Published: Jan. 25, 2025

Language: Английский

---

Is Artificial Intelligence the Next Co-Pilot for Primary Care in Diagnosing and Recommending Treatments for Depression?

Medical Sciences, Journal Year: 2025, Volume and Issue: 13(1), P. 8 - 8

Published: Jan. 11, 2025

Depression poses significant challenges to global healthcare systems and impacts the quality of life individuals their family members. Recent advancements in artificial intelligence (AI) have had a transformative impact on diagnosis treatment depression. These innovations potential significantly enhance clinical decision-making processes improve patient outcomes settings. AI-powered tools can analyze extensive data—including medical records, genetic information, behavioral patterns—to identify early warning signs depression, thereby enhancing diagnostic accuracy. By recognizing subtle indicators that traditional assessments may overlook, these enable providers make timely precise decisions are crucial preventing onset or escalation depressive episodes. In terms treatment, AI algorithms assist personalizing therapeutic interventions by predicting effectiveness various approaches for individual patients based unique characteristics history. This includes recommending tailored plans consider patient’s specific symptoms. Such personalized strategies aim optimize overall efficiency healthcare. theoretical review uniquely synthesizes current evidence applications primary care depression management, offering comprehensive analysis both personalization capabilities. Alongside advancements, we also address conflicting findings field presence biases necessitate important limitations.

Language: Английский

---

Digital Companionship or Psychological Risk? The Role of AI Characters in Shaping Youth Mental Health

Asian Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 104, P. 104356 - 104356

Published: Jan. 1, 2025

Language: Английский

---

Assessing Physician Confidence in Artificial Intelligence: Insights from Iran

InfoScience Trends, Journal Year: 2025, Volume and Issue: 2(2), P. 1 - 10

Published: Feb. 1, 2025

Language: Английский

---

Challenges and opportunities in using interpretable AI to develop relationship interventions

Family Relations, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Abstract Objective Although still in its infancy, research shows promise that artificial intelligence (AI) models can be integrated into relationship interventions, and the potential benefits are substantial. This article articulates challenges opportunities for developing interventions integrate AI. Background After defining AI differentiating machine learning from deep learning, we review key concepts strategies related to AI, specifically natural language processing, interpretability, human‐in‐the‐loop strategies, as approaches needed develop interventions. Method We explore how is currently family life literature has served foundation further integrating The use of therapy contexts examined, identify ethical need addressed this technology develops. Results examine using focusing on four areas: diagnosis problems, providing autonomous treatment, predicting successful treatment outcomes (prognosis), biomarkers monitor client reactions. Opportunities explored include development data‐efficient training methods, creating interpretable focused relationships, integration clinical expertise during model development, combining biomarker data with other modalities. Conclusion Despite obstacles, provide families personalized support strengthen bonds overcome relational challenges. Implications emerging intersection science pioneer innovative solutions diverse needs.

Language: Английский

---

Use of Virtual Reality (VR) and AI in Therapeutic Settings

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 367 - 394

Published: Jan. 3, 2025

This chapter explores the transformative impact of virtual reality (VR) and artificial intelligence (AI) in therapeutic settings. It examines how VR's immersive environments AI's data-driven insights enhance practices, including exposure therapy, cognitive rehabilitation, anxiety management. By aligning with psychological neurological theories, these technologies offer innovative solutions for improving patient outcomes. The also addresses challenges such as high costs, data privacy, need rigorous research. Future directions emphasize importance ongoing development, ethical considerations, empirical validation. Ultimately, VR AI hold potential to revolutionize offering more effective, personalized, treatment options.

Language: Английский

---

Enhancing Clinical Documentation with AI: Reducing Errors, Improving Interoperability, and Supporting Real-Time Note-Taking

InfoScience Trends, Journal Year: 2025, Volume and Issue: 2(1), P. 1 - 13

Published: Jan. 14, 2025

Language: Английский

---

Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support

Published: April 24, 2025

Social anxiety (SA) has become increasingly prevalent. Traditional coping strategies often face accessibility challenges. Generative AI (GenAI), known for their knowledgeable and conversational capabilities, are emerging as alternative tools mental well-being. With the increased integration of GenAI, it is important to examine individuals' attitudes trust in GenAI chatbots' support SA. Through a mixed-method approach that involved surveys (n = 159) interviews 17), we found individuals with severe symptoms tended embrace chatbots more readily, valuing non-judgmental perceived emotional comprehension. However, those milder prioritized technical reliability. We identified factors influencing trust, such ability generate empathetic responses its context-sensitive limitations, which were particularly among also discuss design implications use fostering cognitive practical considerations.

Language: Английский

---

Attachment-Informed Strategies for Addressing Social Media Addiction in Kuwait

International Journal of Technology and Human Interaction, Journal Year: 2025, Volume and Issue: 21(1), P. 1 - 25

Published: Feb. 6, 2025

This study examines the influence of attachment styles—secure, anxious, avoidant, fearful-avoidant, and unclassified—on social media addiction in Kuwait, emphasizing need for culturally relevant interventions. Using data from 4,419 participants, it identifies distinct patterns: anxious attached individuals use emotional validation, while avoidant users limit interactions to preserve autonomy. The research integrates ethical considerations, such as privacy cultural alignment, propose tailored strategies educators, mental health professionals, policymakers. merges psychological theory practical solutions address non-Western contexts, promoting digital well-being.

Language: Английский

---

The Impact of Social Media on Mental Health: A Generational Perspective

InfoScience Trends, Journal Year: 2025, Volume and Issue: 2(2), P. 27 - 40

Published: Feb. 10, 2025

Language: Английский

---