Neurosurgical Review, Journal Year: 2024, Volume and Issue: 47(1)
Published: Sept. 20, 2024
Language: Английский
Neurosurgical Review, Journal Year: 2024, Volume and Issue: 47(1)
Published: Sept. 20, 2024
Language: Английский
Journal of Robotic Surgery, Journal Year: 2025, Volume and Issue: 19(1)
Published: Jan. 7, 2025
Language: Английский
Citations
3Medical Image Analysis, Journal Year: 2025, Volume and Issue: 102, P. 103506 - 103506
Published: Feb. 22, 2025
Language: Английский
Citations
1Current Oncology, Journal Year: 2024, Volume and Issue: 31(9), P. 5255 - 5290
Published: Sept. 6, 2024
Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning natural language processing, their applications HNC. The integration of with imaging techniques, genomics, electronic health records explored, emphasizing its role early detection, biomarker discovery, planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, real-time monitoring systems are poised to further advance field. Addressing these fostering among experts, clinicians, researchers crucial developing equitable effective applications. future HNC holds significant promise, offering potential breakthroughs diagnostics, personalized therapies, improved patient outcomes.
Language: Английский
Citations
8Journal of Data Analysis and Information Processing, Journal Year: 2025, Volume and Issue: 13(01), P. 66 - 78
Published: Jan. 1, 2025
Language: Английский
Citations
0Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 416 - 420
Published: Jan. 1, 2025
Language: Английский
Citations
0Future Internet, Journal Year: 2025, Volume and Issue: 17(3), P. 107 - 107
Published: March 1, 2025
Integrating deep learning (DL) with the Internet of Medical Things (IoMT) is a paradigm shift in modern healthcare, offering enormous opportunities for patient care, diagnostics, and treatment. Implementing DL IoMT has potential to deliver better diagnosis, treatment, management. However, practical implementation challenges, including data quality, privacy, interoperability, limited computational resources. This survey article provides conceptual framework synthesizes identifies state-of-the-art solutions that tackle challenges current applications DL, analyzes existing limitations future developments. Through an analysis case studies real-world implementations, this work insights into best practices lessons learned, importance robust preprocessing, integration legacy systems, human-centric design. Finally, we outline research directions, emphasizing development transparent, scalable, privacy-preserving models realize full healthcare. aims serve as foundational reference researchers practitioners seeking navigate harness rapidly evolving field.
Language: Английский
Citations
0Published: March 6, 2025
Language: Английский
Citations
0Cureus, Journal Year: 2025, Volume and Issue: unknown
Published: March 28, 2025
Robotics and artificial intelligence (AI) are transforming surgery by improving patient outcomes, efficiency, precision. The use of robotics in tackles important issues, including surgical precision, minimally invasive procedures, healthcare accessibility, as global systems embrace AI-driven technologies more more. However, access gaps ethical issues with automation continue to exist on a worldwide scale, calling for fair discussion these developments. aim this systematic review was summarize the most recent literature role AI complex procedures. study conducted per Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines. We search relevant studies across four different databases (PubMed, Scopus, Web Science, Google Scholar). also restricted our 2024 capture advancement only. found 393 studies, which only 12 were included upon assessing them inclusion exclusion criteria. ensures scientific rigor openness evaluating specializations, technologies, outcomes such accuracy, recovery, complications. results show significant progress AI-powered systems, enhancing judgment, lowering errors, enabling individualized treatment plans. AI-enhanced visualization, real-time data processing, automated robotic equipment notable innovations that boost safety procedure efficiency. importance developments is emphasized throughout discussion, especially regard developing procedures increasing capabilities surgeries. obstacles broad adoption cited, expenses, moral dilemmas, requirement stringent training
Language: Английский
Citations
0Indian Journal of Surgical Oncology, Journal Year: 2025, Volume and Issue: unknown
Published: April 11, 2025
Language: Английский
Citations
0Cureus, Journal Year: 2025, Volume and Issue: unknown
Published: April 15, 2025
Language: Английский
Citations
0