Artificial intelligence (AI) has birthed the new "big thing" in modern medicine. It promises to bring about safer and improved care that will be beneficial to patients and become a helpful tool in the hands of a skilled physician. Despite its anticipation, however, the implementation and usage of AI are still in their elementary phases, particularly due to legal and ethical considerations that border on "data." These challenges should not be brushed aside but rather be recognized and resolved to enable acceptance by all relevant stakeholders without prejudice. Once these challenges can be overcome, AI will truly revolutionize the field of medicine with improved diagnostic accuracy, a reduction in physician burnout, and an enhanced treatment modality. It is therefore paramount that AI be embraced by physicians and integrated into medical education in order to be well-prepared for our role in the future of medicine.
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http://dx.doi.org/10.7759/cureus.45594 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Implantable memristors are considered an emerging electronic technology that can simulate brain memory function and demonstrate some promising applications in the biomedical field. However, it remains a critical challenge to enhance their long-term stability and biocompatibility in implantation environments. In this work, an implantable memristor has been successfully fabricated based on TiO using magnetron sputtering.
View Article and Find Full Text PDFDiagn Interv Imaging
January 2025
Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 75019, Paris, France; Université Paris Cité, Faculté de Médecine, 75006 Paris, France. Electronic address:
ISA Trans
December 2024
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK. Electronic address:
As artificial intelligence advances and demand for cost-effective equipment maintenance in various fields increases, it is worth insightful research on utilizing robots embedded with sound source localization (SSL) technology for condition monitoring. Combining the two techniques has significant advantages, which are conducive to further classifying and tracking abnormal sources, thereby enhancing system performance at a lower cost. The paper provides an overview of current acoustic-based robotic techniques for condition monitoring, highlights the common SSL methods, and finds that localization performance heavily depends on signal quality.
View Article and Find Full Text PDFJ Gastrointest Surg
January 2025
Department of Gastroenterological Surgery. Electronic address:
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