Artificial intelligence and hemodynamic studies in optical coherence tomography angiography for diabetic retinopathy evaluation: A review

Pradeep, K.; Jeyakumar, Vijay; Bhende, Muna; Shakeel, Areeba; Mahadevan, Shriraam

doi:10.1177/09544119231213443

Cited by 4 publications

(2 citation statements)

References 107 publications

(142 reference statements)

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“…By several means, AI technologies can enhance clinical trials efficiency, accuracy, and effectiveness [58][59][60][61][62]. In mycetoma, clinical trials are lacking, the cause is multifactorial, and lack of experience and funds are important reasons.…”

Section: Clinical Trialsmentioning

confidence: 99%

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The use of artificial intelligence to improve mycetoma management

Ali,

Elkheir,

Fahal

2024

PLoS Negl Trop Dis

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Mycetoma is a serious, neglected tropical disease affecting the underprivileged populations in resource-constrained communities of the rural tropical and subtropical regions. It predominately affects individuals of low visibility and voice and continues to hinder and burden the poor, remote communities [1]. Furthermore, in endemic areas, the medical and health facilities are meagre and adequate treatment is lacking or inaccessible [2]. All these lead to a progressive disease with massive morbidities and serious medical, health, and socioeconomic consequences [3,4].Mycetoma is a chronic disabling subcutaneous granulomatous inflammatory disease of fungal and bacterial origin [5,6]. The inflammatory granuloma progressively spreads to affect the skin, deep tissues, and bones, leading to massive tissue damage, destruction, and serious morbidities and can be fatal [6][7][8]. A disease characteristic is the triad of subcutaneous mass, multiple sinuses discharging purulent and sero-purulent discharge frequently containing grains [9,10].The mycetoma development and the associated risk factors are still unclear. Likewise, the disease susceptibility, resistance, entry route, and incubation period are unclear [11][12][13]. Presently, the diagnosis of mycetoma is difficult and tedious [14]. The available diagnostic tests are invasive, time-consuming, of low sensitivity and specificity, and there is no point of care [15][16][17]. Furthermore, the available treatment of mycetoma is suboptimal, characterised by a low cure rate and high recurrence and follow-up rates, and the disease remains with patients for a while, if not for life [18,19].Artificial intelligence (AI) continues evolving swiftly, with ongoing research and development in various domains. It can potentially bring about significant advancements in science, technology, and society. AI has made substantial inroads into the medical and healthcare arenas, revolutionising healthcare delivery, disease diagnosis, and management. Nowadays, there are many applications for AI in medical and health practice, to mention but a few: its use in medical imaging, disease diagnosis, drug discovery, personalised medicine, data predictive analytics, electronic health records, telemedicine and virtual health assistance, robotics surgery, drug dosage, treatment recommendations, health monitoring, mental health, drug adverse event detection and healthcare operations, and resource management [20,21].Machine learning (ML) is a subset of AI that creates algorithms and models that enable computers to learn and make predictions or decisions based on data to improve performance without explicit programming. ML is essential for interpreting large datasets, automating tasks, and enhancing decision-making processes, applied across diverse domains like image and speech recognition, natural language processing, recommendation systems, autonomous PLOS NEGLECTED TROPICAL DISEASES

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Section: Clinical Trialsmentioning

confidence: 99%

“…The technique can monitor patient compliance, enable realtime data collection during trials, and reduce the patients' physical presence at the trial site. Furthermore, AI can assist in maintaining regulatory compliance by ensuring data accuracy, security, and privacy [58][59][60][61][62].…”

Section: Clinical Trialsmentioning

confidence: 99%