Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates

被引:50
|
作者
Rabaan, Ali A. [1 ,2 ,3 ]
Alhumaid, Saad [4 ]
Al Mutair, Abbas [5 ,6 ,7 ,8 ]
Garout, Mohammed [9 ]
Abulhamayel, Yem [10 ]
Halwani, Muhammad A. [11 ]
Alestad, Jeehan H. [12 ,13 ]
Al Bshabshe, Ali [14 ]
Sulaiman, Tarek [15 ]
AlFonaisan, Meshal K. [16 ]
Almusawi, Tariq [17 ,18 ]
Albayat, Hawra [19 ]
Alsaeed, Mohammed [20 ]
Alfaresi, Mubarak [21 ,22 ]
Alotaibi, Sultan [23 ]
Alhashem, Yousef N. [24 ]
Temsah, Mohamad-Hani [25 ]
Ali, Urooj [26 ]
Ahmed, Naveed [27 ]
机构
[1] Johns Hopkins Aramco Healthcare, Mol Diagnost Lab, Dhahran 31311, Saudi Arabia
[2] Alfaisal Univ, Coll Med, Riyadh 11533, Saudi Arabia
[3] Univ Haripur, Dept Publ Hlth & Nutr, Haripur 22610, Pakistan
[4] Minist Hlth, Al Ahsa Hlth Cluster, Adm Pharmaceut Care, Al Hasa 31982, Saudi Arabia
[5] Almoosa Specialist Hosp, Res Ctr, Al Hasa 36342, Saudi Arabia
[6] Almoosa Coll Hlth Sci, Al Hasa 36342, Saudi Arabia
[7] Wollongong Univ, Sch Nursing, Wollongong, NSW 2522, Australia
[8] Prince Sultan Mil Coll Hlth Sci, Nursing Dept, Dhahran 34313, Saudi Arabia
[9] Umm Al Qura Univ, Fac Med, Dept Community Med & Hlth Care Pilgrims, Mecca 21955, Saudi Arabia
[10] Johns Hopkins Aramco Healthcare, Specialty Internal Med Dept, Dhahran 34465, Saudi Arabia
[11] Al Baha Univ, Fac Med, Dept Med Microbiol, Al Baha 4781, Saudi Arabia
[12] Univ Glasgow, Immunol & Infect Microbiol Dept, Glasgow G1 1XQ, Lanark, Scotland
[13] Coll Med, Microbiol Dept, Jabriya 46300, Kuwait
[14] King Khalid Univ, Coll Med, Adult Crit Care Dept Med, Div Adult Crit Care, Abha 62561, Saudi Arabia
[15] King Fahad Med City, Med Specialties Dept, Infect Dis Sect, Riyadh 12231, Saudi Arabia
[16] Majmaah Univ, Basic Med Sci, Majmaah 11952, Saudi Arabia
[17] Dr Sulaiman Alhabib Med Grp, Infect Dis & Crit Care Med Dept, Al Khobar 34423, Saudi Arabia
[18] Med Univ Bahrain, Royal Coll Surg Ireland, Dept Med, Manama 15503, Bahrain
[19] King Saud Med City, Infect Dis Dept, Riyadh 7790, Saudi Arabia
[20] Prince Sultan Mil Med City, Dept Med, Infect Dis Div, Riyadh 11159, Saudi Arabia
[21] Sheikh Khalifa Gen Hosp, Dept Pathol & Lab Med, Umm Al Quwain 499, U Arab Emirates
[22] Mohammed Bin Rashid Univ Med & Hlth Sci, Coll Med, Dept Pathol, Dubai 505055, U Arab Emirates
[23] King Fahad Med City, Mol Microbiol Dept, Riyadh 11525, Saudi Arabia
[24] Mohammed AlMana Coll Hlth Sci, Dept Clin Lab Sci, Dammam 34222, Saudi Arabia
[25] King Saud Univ, Coll Med, Pediat Dept, Riyadh 11451, Saudi Arabia
[26] Univ Cent Punjab, Fac Life Sci, Dept Biotechnol, Lahore 54000, Pakistan
[27] Univ Sains Malaysia, Sch Med Sci, Dept Med Microbiol & Parasitol, Kota Baharu 16150, Kelantan, Malaysia
来源
ANTIBIOTICS-BASEL | 2022年 / 11卷 / 06期
关键词
antibiotic stewardship; better diagnosis; AMR; global platform; advances; diagnostic microbiology; ANTIBIOTIC-RESISTANCE; LAHORE;
D O I
10.3390/antibiotics11060784
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
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页数:16
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