Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine

被引:31
作者
Iqbal, Javed [1 ]
Jaimes, Diana Carolina Cortes [2 ,3 ]
Makineni, Pallavi [4 ]
Subramani, Sachin [5 ]
Hemaida, Sarah [6 ]
Thugu, Thanmai Reddy [7 ]
Butt, Amna Naveed [8 ]
Sikto, Jarin Tasnim [9 ]
Kaur, Pareena [10 ]
Lak, Muhammad Ali [11 ]
Augustine, Monisha [12 ]
Shahzad, Roheen [13 ,14 ]
Arain, Mustafa [15 ]
机构
[1] Mayo Hosp, Neurosurg, Lahore, Pakistan
[2] Univ Autonoma Bucaramanga, Epidemiol, Bucaramanga, Colombia
[3] Pontificia Univ Javeriana, Med, Bogota, Colombia
[4] All India Inst Med Sci, Med, Bhubaneswar, India
[5] Employees State Insurance Corp ESIC, Med & Surg, Med Coll, Gulbarga, India
[6] Istanbul Okan Univ, Internal Med, Istanbul, Turkiye
[7] Sri Venkateswara Inst Med Sci SVIMS, Sri Padmavathi Med Coll Women, Internal Med, Tirupati, India
[8] Allama Iqbal Med Coll, Med Internal Med, Lahore, Pakistan
[9] Jahurul Islam Med Coll, Med, Kishoreganj, Bangladesh
[10] Punjab Inst Med Sci, Med, Jalandhar, India
[11] Combined Mil Hosp, Internal Med, Lahore, Pakistan
[12] Kasturba Med Coll & Hosp, Med, Manipal, India
[13] Combined Mil Hosp CMH Lahore Med Coll, Med, Lahore, Pakistan
[14] Inst Dent, Lahore, Pakistan
[15] Civil Hosp Karachi, Internal Med, Karachi, Pakistan
关键词
new insights; modern medicine; newer technology in healthcare; artificial intelligence in healthcare; ai & robotics in healthcare; DEEP NEURAL-NETWORKS; IMAGE-ANALYSIS; SKIN-CANCER; BIG DATA; DERMATOLOGISTS; RECOGNITION; PERFORMANCE; PREDICTION; MORTALITY; DIAGNOSIS;
D O I
10.7759/cureus.44658
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI's precision and analysis regarding patients' genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI's contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI's capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI's impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.
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页数:14
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