Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : BULLET : Jurnal Multidisiplin Ilmu

Innovations in AI-Powered Healthcare: Transforming Cancer Treatment with Innovative Methods Saad Rasool; Mohammad Ali; Hafiz Muhammad Shahroz; Hafiz Khawar Hussain; Ahmad Yousaf Gill
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: In this thorough review, we explore the multifaceted role of artificial intelligence (AI) in cancer medicine, highlighting its potential applications, challenges, and future directions. Artificial intelligence (AI) holds enormous promise for revolutionizing patient care and improving outcomes when integrated into various aspects of cancer medicine, including drug discovery and development, early detection and screening, and drug discovery. AI-driven methods in early detection and screening can increase sensitivity, decrease false-positive rates, and provide personalized risk assessment, which can boost the efficacy and efficiency of cancer screening programs. However, issues like algorithm bias, data quality, and regulatory compliance need to be resolved before AI can be fully utilized in this field. In addition, AI-driven drug discovery and development offers chances to speed up target identification, repurpose current medications, and create new therapeutics with improved safety and efficacy profiles. However, even with AI's potential to speed up drug discovery, issues with data accessibility, algorithm interpretability, and ethical implications still exist. Researchers, clinicians, regulators, and industry stakeholders must work together to develop strong data-sharing initiatives, ethical guidelines, and governance frameworks in order to address these challenges. By putting patient-centered approaches first, integrating multi-modal data, and encouraging interdisciplinary collaboration, we can harness the transformative power of AI to speed up the translation of research findings into novel therapies and enhance global cancer patient outcomes.
Co-Authors Abdurahman Berbudi B L Abdurahman Berbudi Bowo Laksono Achwan Achwan Aditya Muhamad Muldani Ahmad Fajar Fadlillah Ahmad Yousaf Gill Alisa Qtrunnada Amelia Rezeki Andriani Ana Ratna Wulan Andria Pragholapati Andy MA Hariandja Andy Martahan Andreas H Angga Hadiapurwa Anita Yosepha Ari Indra Susanti Ari indra Susanti Asep Herry Hernawan Bunga Darina Puteri Bustam, Muhammad Rayhan Cepi Riyana Dadang Sukirman Dadi Mulyadi Dadi Mulyadi Debora Pratiwi Sibarani deiza Novamaria Aziza Diana Romdhoningsih Dinn Wahyudin, Dinn Dr. Mamun Habib Eero Ropo Eero Ropo Eero Ropo Effy Mulyasari Elisabeth Tuba Erna Sariana Erna Satwika Retno Pamungkas Fadhlurrahman Rafif Muzakki Fadilah Fadilah Fadiya Yasmin Robbani Fahisatul Jannah Fahmi Nurqolbi Fathiyyah Salsabila Az-Zahra Kamil Fathurrohim Fathurrohim Fedri Ruluwedrata Rinawan Feisal Reinardy Fenny Febrianty Firdausa Febriana Flora Honey Darmawan Ganesa P.D Kurniawan Hafiz Khawar Hussain Hafiz Muhammad Shahroz Hana Lestari Hera Damayanti HERU SETIAWAN I Made Sriundy M Ima Rahmawati Imam Syafi’i Irsyad Hanafi Isniatun Munawaroh Juwintar Febriani Arwan Juwintar Febriani Arwan Khairil Azhar Laksmi dewi Lestari, Hana Liza Laela Abida M. Rizky Anugrah Mafruroh Mafruroh Moch Gilang Pratama Mohammad Faruk Mohammad Rizky Anugrah Moreen Zedko Isaura Sumual Muhammad Naufal Fazqa Murtaqia Tusholihat Murtaqiatusholihat Murtaqiatusholihat Muthoifin Mutohharun Jinan Nabila Vinca Ansari Norlidah Alias Nur Achirda Nur Amelza Wahyu Aqilla Nur Fitri Ayu Pertiwi Nur'asiah Nur'asiah Nursaidah Ahmad Purwani Sari, Retno Rahmawati, Ima Resky Wiradhika Restu Arya Pambudi Rizki Kurniawan Roikhatul Jannah Rudi Susilana, Rudi Rusman Rusman Saad Rasool Salsabila Putri Wijaya Salsabila Rohadatul Aisy Saniati Saniati Setiana, Soni Mulyawan Talitha Ragilia Sani Toto Aminoto Tuba, Elisabeth Wahyu Sopandi Zidni, Kusumaning