From Nanobots to Neural Networks: Multifaceted Revolution of Artificial Intelligence in Surgical Medicine and Therapeutics.

This comprehensive exploration unveils the transformative potential of Artificial Intelligence (AI) within medicine and surgery. Through a meticulous journey, we examine AI's current applications in healthcare, including medical diagnostics, surgical procedures, and advanced therapeutics. Delving into the theoretical foundations of AI, encompassing machine learning, deep learning, and Natural Language Processing (NLP), we illuminate the critical underpinnings supporting AI's integration into healthcare. Highlighting the symbiotic relationship between humans and machines, we emphasize how AI augments clinical capabilities without supplanting the irreplaceable human touch in healthcare delivery. Also, we'd like to briefly mention critical findings and takeaways they can expect to encounter in the article. A thoughtful analysis of the economic, societal, and ethical implications of AI's integration into healthcare underscores our commitment to addressing critical issues, such as data privacy, algorithmic transparency, and equitable access to AI-driven healthcare services. As we contemplate the future landscape, we project an exciting vista where more sophisticated AI algorithms and real-time surgical visualizations redefine the boundaries of medical achievement. While acknowledging the limitations of the present research, we shed light on AI's pivotal role in enhancing patient engagement, education, and data security within the burgeoning realm of AI-driven healthcare.

Predictors of post-traumatic stress disorder among burn patients in Pakistan: The role of reconstructive surgery in post-burn psychosocial adjustment.

BACKGROUND: Burns are a common cause of morbidity and mortality worldwide. Post-traumatic stress disorder (PTSD) is among the most prevalent psychopathologies documented among burn patients. However, little is known regarding the risk factors for post-burn PTSD outside the well-documented Western world context. The present study aims to elucidate the biopsychosocial correlates of PTSD among burn patients in Pakistan. METHODS: A total 343 burn patients were evaluated across four teaching hospitals in the Punjab province of Pakistan between August and December of 2016. "Patients aged 18 years or older, with no major comorbid illnesses, presenting for burn care at burn units or surgical departments of the listed hospitals were interviewed by trained healthcare providers using a validated questionnaire." Uni- and multivariate statistical analyses were used to evaluate associations between patient characteristics and PTSD symptomatology, as measured by the validated Urdu version of the Impact of Event Scale-Revised (IES-R). RESULTS: The prevalence of PTSD among our cohort was 69%. Lower educational attainment, ethnic minority status, unemployment, large burn surface area, prior suicidal ideation, and domestic violence were all associated with increased PTSD symptomatology. On the other hand, social support, ego resiliency, and reconstructive surgery were all associated with decreased PTSD symptomatology. CONCLUSION: There is a remarkably high prevalence of PTSD among burn patients in Pakistan. Improving accessibility to reconstructive surgery and social support may help to alleviate this burden.