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Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates.
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.
Afiliação
  • Rabaan AA; Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia.
  • Alhumaid S; College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
  • Mutair AA; Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan.
  • Garout M; Administration of Pharmaceutical Care, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa 31982, Saudi Arabia.
  • Abulhamayel Y; Research Center, Almoosa Specialist Hospital, Alhassa, Al-Ahsa 36342, Saudi Arabia.
  • Halwani MA; Almoosa College of Health Sciences, Alhassa, Al-Ahsa 36342, Saudi Arabia.
  • Alestad JH; School of Nursing, Wollongong University, Wollongong, NSW 2522, Australia.
  • Bshabshe AA; Nursing Department, Prince Sultan Military College of Health Sciences, Dhahran 34313, Saudi Arabia.
  • Sulaiman T; Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia.
  • AlFonaisan MK; Specialty Internal Medicine Department, Johns Hopkins Aramco Healthcare, Dhahran 34465, Saudi Arabia.
  • Almusawi T; Department of Medical Microbiology, Faculty of Medicine, Al Baha University, Al Baha 4781, Saudi Arabia.
  • Albayat H; Immunology and Infectious Microbiology Department, University of Glasgow, Glasgow G1 1XQ, UK.
  • Alsaeed M; Microbiology Department, Collage of Medicine, Jabriya 46300, Kuwait.
  • Alfaresi M; Adult Critical Care Department of Medicine, Division of Adult Critical Care, College of Medicine, King Khalid University, Abha 62561, Saudi Arabia.
  • Alotaibi S; Infectious Diseases Section, Medical Specialties Department, King Fahad Medical City, Riyadh 12231, Saudi Arabia.
  • Alhashem YN; Basic Medical Sciences, Majmaah University, Majmaah 11952, Saudi Arabia.
  • Temsah MH; Infectious Disease and Critical Care Medicine Department, Dr. Sulaiman Alhabib Medical Group, Alkhobar 34423, Saudi Arabia.
  • Ali U; Department of Medicine, Royal College of Surgeons in Ireland-Medical University of Bahrain, Manama 15503, Bahrain.
  • Ahmed N; Infectious Disease Department, King Saud Medical City, Riyadh 7790, Saudi Arabia.
Antibiotics (Basel) ; 11(6)2022 Jun 08.
Article em En | MEDLINE | ID: mdl-35740190
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Idioma: En Revista: Antibiotics (Basel) Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 Base de dados: MEDLINE Idioma: En Revista: Antibiotics (Basel) Ano de publicação: 2022 Tipo de documento: Article