Rabaan Ali A, Alhumaid Saad, Mutair Abbas Al, Garout Mohammed, Abulhamayel Yem, Halwani Muhammad A, Alestad Jeehan H, Bshabshe Ali Al, Sulaiman Tarek, AlFonaisan Meshal K, Almusawi Tariq, Albayat Hawra, Alsaeed Mohammed, Alfaresi Mubarak, Alotaibi Sultan, Alhashem Yousef N, Temsah Mohamad-Hani, Ali Urooj, Ahmed Naveed
Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia.
College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Antibiotics (Basel). 2022 Jun 8;11(6):784. doi: 10.3390/antibiotics11060784.
Artificial intelligence (AI) is a branch of science and engineering that focuses on the computational understanding of intelligent behavior. Many human professions, including clinical diagnosis and prognosis, are greatly useful from AI. Antimicrobial resistance (AMR) is among the most critical challenges facing Pakistan and the rest of the world. The rising incidence of AMR has become a significant issue, and authorities must take measures to combat the overuse and incorrect use of antibiotics in order to combat rising resistance rates. The widespread use of antibiotics in clinical practice has not only resulted in drug resistance but has also increased the threat of super-resistant bacteria emergence. As AMR rises, clinicians find it more difficult to treat many bacterial infections in a timely manner, and therapy becomes prohibitively costly for patients. To combat the rise in AMR rates, it is critical to implement an institutional antibiotic stewardship program that monitors correct antibiotic use, controls antibiotics, and generates antibiograms. Furthermore, these types of tools may aid in the treatment of patients in the event of a medical emergency in which a physician is unable to wait for bacterial culture results. AI's applications in healthcare might be unlimited, reducing the time it takes to discover new antimicrobial drugs, improving diagnostic and treatment accuracy, and lowering expenses at the same time. The majority of suggested AI solutions for AMR are meant to supplement rather than replace a doctor's prescription or opinion, but rather to serve as a valuable tool for making their work easier. When it comes to infectious diseases, AI has the potential to be a game-changer in the battle against antibiotic resistance. Finally, when selecting antibiotic therapy for infections, data from local antibiotic stewardship programs are critical to ensuring that these bacteria are treated quickly and effectively. Furthermore, organizations such as the World Health Organization (WHO) have underlined the necessity of selecting the appropriate antibiotic and treating for the shortest time feasible to minimize the spread of resistant and invasive resistant bacterial strains.
人工智能（AI）是科学与工程的一个分支，专注于对智能行为的计算理解。包括临床诊断和预后在内的许多人类职业都从人工智能中受益匪浅。抗菌药物耐药性（AMR）是巴基斯坦和世界其他地区面临的最严峻挑战之一。AMR发病率的上升已成为一个重大问题，当局必须采取措施应对抗生素的过度使用和不当使用，以对抗不断上升的耐药率。抗生素在临床实践中的广泛使用不仅导致了耐药性，还增加了超级耐药菌出现的威胁。随着AMR的上升，临床医生发现及时治疗许多细菌感染变得更加困难，而且治疗对患者来说成本高得令人望而却步。为了应对AMR率的上升，实施一个监测正确抗生素使用、控制抗生素并生成抗菌谱的机构抗生素管理计划至关重要。此外，在医生无法等待细菌培养结果的医疗紧急情况下，这些类型的工具可能有助于治疗患者。人工智能在医疗保健领域的应用可能是无限的，可减少发现新抗菌药物所需的时间，提高诊断和治疗准确性，同时降低成本。大多数针对AMR提出的人工智能解决方案旨在补充而非取代医生的处方或意见，而是作为一种使他们的工作更轻松的有价值工具。在传染病方面，人工智能有可能在对抗抗生素耐药性的战斗中成为改变游戏规则的因素。最后，在选择感染的抗生素治疗时，来自当地抗生素管理计划的数据对于确保这些细菌得到快速有效的治疗至关重要。此外，世界卫生组织（WHO）等组织强调了选择合适抗生素并在最短可行时间内进行治疗的必要性，以尽量减少耐药和侵袭性耐药菌株的传播。
