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1.
Cureus ; 15(8): e44214, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37645667

ABSTRACT

Glioblastoma multiforme (GBM), an aggressive brain tumor with high recurrence rates and limited survival, presents a pressing need for accurate and timely diagnosis. The interpretation of MRI can be complex and subjective. Artificial Intelligence (AI) has emerged as a promising solution, leveraging its potential to revolutionize diagnostic imaging. Radiomics treats images as numerical data and extracts intricate features from images, including subtle patterns that elude human observation. By integrating radiomics with genetics through radiogenomics, AI aids in tumor classification, identifying specific mutations and genetic traits. Furthermore, AI's impact extends to treatment planning. GBM's heterogeneity and infiltrative growth complicate delineation for treatment purposes. AI-driven segmentation techniques provide accurate 2D and 3D delineations, optimizing surgical and radiotherapeutic planning. Predictive features like angiogenesis and tumor volumes enable AI models to anticipate postop complications and survival rates. It can also aid in distinguishing posttreatment radiation effects from tumor recurrence. Despite these merits, concerns linger. The quality of medical data, transparency of AI techniques, and ethical considerations require thorough addressing. Collaborative efforts between neurosurgeons, data scientists, ethicists, and regulatory bodies are imperative for AI's ethical development and implementation. Transparent communication and patient consent are vital, fostering trust and understanding in AI-augmented medical care. In conclusion, AI holds immense promise in diagnosing and managing aggressive brain tumors like GBM. Its ability to analyze complex radiological data, integrate genetics, and aid in treatment planning underscores its potential to transform patient care. However, carefully considering ethical, technical, and regulatory aspects is crucial for realizing AI's full potential in oncology.

2.
Cureus ; 15(6): e40218, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37435262

ABSTRACT

A healthcare system is one of the most essential pillars of any country. The primary role of a healthcare system is to ensure that all people get the best available health facilities in a timely, acceptable, affordable, and accessible manner. However, for a healthcare system to function as such, it requires proper infrastructure and financial support. To a large extent, the healthcare system in Pakistan is facing several challenges. There is a massive shortage of hospitals, doctors, nurses, and paramedical staff. Most life-saving medications are too expensive for people to afford. Now and then, there is a shortage of medicines in the market. Above all, there exists a lack of trust in the healthcare system, which gives way to the ever-increasing quackery in the country. Two parallel systems exist in the healthcare system of Pakistan. One consists of public hospitals, and the other consists of private hospitals. The former is short even of basic healthcare facilities, and the latter is too costly for the people of Pakistan to afford. Solutions to the stumbling and compromised healthcare system of Pakistan are adequate financial support and infrastructure development. Stakeholders need to invest in the healthcare system; otherwise, the healthcare system in Pakistan will continue fighting for its survival rather than improving and competing with the healthcare systems of other nations in the region.

3.
J Pak Med Assoc ; 72(3): 554-556, 2022 Mar.
Article in English | MEDLINE | ID: mdl-35320244

ABSTRACT

Several empirical researches imply that cognitive behaviour therapy can be effective in treating psychiatric disorders. In the context of Pakistan, some researches with Culturally Adapted Cognitive Behaviour Therapy were found to be effective for depression, anxiety, bipolar and psychotic disorders. The present study theoretically underpinned the model of Adapted Cognitive Behaviour Therapy (ACBT) based on the inclusion of Tasbeehs (Rosary) derived from the Quran and Sunnah to be fruitful in producing the desirable change in a single case of Dysthymia with anxious distress which was assessed with the help of the Urdu versions of Beck Depression Inventory-II (BDI-II), Beck Anxiety Inventory (BAI), Beck Hopelessness Scale (BHS) and Beck Scale for Suicidal Ideation (BSS). ACBT produced profound differences in pre-test and post-test scores in a patient. The Tasbeeh or Rosary could provide a therapeutic means for treating psychiatric illnesses irrespective of the religious and cultural differences.


Subject(s)
Cognitive Behavioral Therapy , Depressive Disorder , Anxiety Disorders/psychology , Depressive Disorder/psychology , Dysthymic Disorder/therapy , Humans , Psychiatric Status Rating Scales
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