The diagnostic, therapeutic, and ethical impact of artificial intelligence in modern medicine

被引:3
作者
Katwaroo, Arun Rabindra [1 ]
Adesh, Vivek Shanker [2 ]
Lowtan, Amrita [3 ]
Umakanthan, Srikanth [4 ]
机构
[1] Trinidad Inst Med Technol, Dept Med, St Augustine, Trinidad Tobago
[2] Smartersoft, Med Technol Dept, Ocoee, FL USA
[3] Univ West Indies, Fac Med Sci, Dept Preclin Sci, St Augustine, Trinidad Tobago
[4] Univ West Indies, Fac Med Sci, Dept Paraclin Sci, St Augustine, Trinidad Tobago
关键词
ethics; surgery; molecular diagnostics < infectious diseases; RISK; AI;
D O I
10.1093/postmj/qgad135
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
In the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With the potential to scrutinize colossal amounts of medical data, radiological and histological images, and genomic data in healthcare institutions, AI-powered systems can recognize, determine, and associate patterns and provide impactful insights that would be strenuous and challenging for clinicians to detect during their daily clinical practice. The outcome of AI-mediated search offers more accurate, personalized patient diagnoses, guides in research for new drug therapies, and provides a more effective multidisciplinary treatment plan that can be implemented for patients with chronic diseases. Among the many promising applications of AI in modern medicine, medical imaging stands out distinctly as an area with tremendous potential. AI-powered algorithms can now accurately and sensitively identify cancer cells and other lesions in medical images with greater accuracy and sensitivity. This allows for earlier diagnosis and treatment, which can significantly impact patient outcomes. This review provides a comprehensive insight into diagnostic, therapeutic, and ethical issues with the advent of AI in modern medicine.
引用
收藏
页码:289 / 296
页数:8
相关论文
共 75 条
  • [1] The impact of artificial intelligence in medicine on the future role of the physician
    Ahuja, Abhimanyu S.
    [J]. PEERJ, 2019, 7
  • [2] The Patient Burden of Screening Mammography Recall
    Alcusky, Matthew
    Philpotts, Liane
    Bonafede, Machaon
    Clarke, Janice
    Skoufalos, Alexandria
    [J]. JOURNAL OF WOMENS HEALTH, 2014, 23 : S11 - S19
  • [3] RETRACTED: Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents (Retracted Article)
    Alqahtani, Amal
    [J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2022, 2022
  • [4] Overview of artificial intelligence in medicine
    Amisha
    Malik, Paras
    Pathania, Monika
    Rathaur, Vyas Kumar
    [J]. JOURNAL OF FAMILY MEDICINE AND PRIMARY CARE, 2019, 8 (07) : 2328 - 2331
  • [5] Anderson LB., 2023, GEOHEALTH, V7
  • [6] Anderson LB., 2023, GEOHEALTH, V7, pe2023GH000875
  • [7] A Clinical Decision Support System for the Prediction of Quality of Life in ALS
    Antoniadi, Anna Markella
    Galvin, Miriam
    Heverin, Mark
    Wei, Lan
    Hardiman, Orla
    Mooney, Catherine
    [J]. JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (03):
  • [8] Arora Anmol, 2022, Future Healthc J, V9, P190, DOI 10.7861/fhj.2022-0013
  • [9] Application of artificial intelligence to the electrocardiogram
    Attia, Zachi, I
    Harmon, David M.
    Behr, Elijah R.
    Friedman, Paul A.
    [J]. EUROPEAN HEART JOURNAL, 2021, 42 (46) : 4717 - +
  • [10] Artificial intelligence in peritoneal dialysis: general overview
    Bai, Qiong
    Tang, Wen
    [J]. RENAL FAILURE, 2022, 44 (01) : 682 - 687