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All Journal Manuju : Malahayati Nursing Journal Jurnal Sehat Indonesia (JUSINDO)
Virawan, Zaki Farhan
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Dentistry Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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Pioneering Prostate Cancer Diagnosis: Evaluating AI Against Traditional Methods - A Systematic Literature Review Virawan, Zaki Farhan; Naufal, Achmad
Malahayati Nursing Journal Vol 6, No 10 (2024): Volume 6 Nomor 10 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mnj.v6i10.17042

Abstract

ABSTRACT Prostate cancer is one of the most common forms of men's cancer in the world and the understanding of its epidemiology is crucial to effective prevention, early detection and management strategies. This systematic review highlights the potential of artificial intelligence-based diagnostic methods to revolutionize the early diagnosis of prostate cancer. A comprehensive literature search was carried out using databases such as PubMed, Google Scholar and Scopus. After removing duplicates, titles and abstracts were examined in 279 studies and the following full texts were examined in 128 studies. We have ten studies to review in total. Therefore, we chose to review data for all 10 identified studies that applied AI techniques to detect ca prostate. The Paige Prostate Alpha AI system significantly enhances pathologists' diagnostic capabilities, leading to more accurate and effective prostate cancer detection. These limitations indicate that further research is required to address these issues and validate the results in a more diverse and controlled environment. AI-based diagnostic methods have shown significant promise in enhancing the early detection of prostate cancer. As technology continues to advance, integrating AI with traditional diagnostic approaches could lead to more effective, efficient, and accurate prostate cancer screening and diagnosis. Future studies should focus on large-scale clinical trials and real-world applications to validate these findings and facilitate the adoption of AI in clinical settings. Keywords: Prostate Cancer, Artificial Intelligent, Deep Machine Learning, MRI
Kejadian Stricture Urethra Post Early Re-Alignment pada Pasien Cedera Urethra Dengan Cedera Tulang Panggul Virawan, Zaki Farhan
Jurnal Sehat Indonesia (JUSINDO) Vol. 6 No. 01 (2024): Jurnal Sehat Indonesia (JUSINDO)
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jsi.v6i01.84

Abstract

Cedera uretra merujuk pada kerusakan atau trauma yang terjadi pada uretra, yaitu saluran yang bertanggung jawab untuk membawa urin dari kandung kemih keluar dari tubuh. Early re-alignment adalah prosedur pembedahan yang dilakukan untuk memperbaiki dan menyelaraskan uretra yang terganggu atau cedera sesegera mungkin setelah cedera terjadi. Penelitian ini bertujuan untuk mengevaluasi preferensi peneliti terhadap early endoscopic re-alignment menggunakan metode endourologi dalam mengatasi fraktur panggul. Desain penelitian yang bersifat literatur review. Penelitian ini dilakukan sesuai dengan kriteria Preferred Items for Systematic Reviews (PRISMA). Database PubMed, ScienceDirect dan Google Scholar dicari untuk studi yang diterbitkan dari tahun 2010 hingga tahun 2013 karena menyesuaikan periode waktu tertentu yang menjadi fokus penelitian. Hasil penelitian ini terdapat total 6 jurnal yang didapatkan setelah proses seleksi untuk dilakukan review secara menyeluruh. Pada beberapa jurnal yang telah peneliti direview lebih menyukai early endoscopic re-alignment melalui metode endourologi berdasarkan literatur dan pengalaman mereka sendiri. Meskipun re-alignment menyebabkan tingkat kekambuhan striktur yang lebih tinggi, hal ini menghindarkan sejumlah besar pasien dari kebutuhan lebih lanjut akan pembedahan berikutnya.
Co-Authors Naufal, Achmad