Artificial Intelligence In Medical Field Research Articles

The Potential Applications Of Artificial Intelligence In Medical Field

The Potential Applications Of Artificial Intelligence In Medical Field

IJCM_269A: Knowledge, attitude, and practice of artificial intelligence in medical field among Undergraduate and Postgraduate medical students in Tamil Nadu: A cross-sectional online survey.

Background: Artificial Intelligence (AI) in the health care has gained attention worldwide due to its potential to revolutionize health care delivery, improve diagnostics, and enhance patient outcomes. AI has the potential to address challenges in Indian health care sector like shortage of workforce by providing decision support, automating repetitive tasks, and improving diagnostic accuracy. Objective: To assess the Knowledge, Attitude and Practice (KAP) of Artificial Intelligence in health care among Undergraduate and Postgraduate medical students in Tamil Nadu. Methodology: A cross-sectional online survey was conducted among 200 undergraduate and postgraduate medical students over a period of 2 months (Sept to Oct 2023). Data collection was done using Google form which comprises of a pretested, semi-structured questionnaire and statistical analysis was done using IBM SPSS version 21. Results: Out of 200 participants, 94 (47%) were Undergraduates and 106 (53%) were Postgraduates. In total 123 (61.5%) had good knowledge, 190 (95%) had positive attitude and 61 (30.5%) had good practice towards Artificial Intelligence in healthcare. Postgraduates had better knowledge and practice than undergraduates Conclusion: A majority of the participants displayed good knowledge and positive attitude towards Artificial Intelligence in healthcare. Notably, postgraduates outperformed undergraduates, suggesting the need for tailored educational interventions. While AI training in the curriculum remains limited, the high willingness to engage with AI in the future underscores its potential for transformative impact in healthcare.

IMPACT OF IMPLEMENTING AI IN MEDICAL FIELD

Introduction: AI is a field of great scope and latest leading fame and coming to it in medical field it has been very useful and impactful. Objectives: we can say that the objectives of bringing in artificial intelligence in healthcare applications revolve around maximising AI's capabilities to enhance working capabilities, efficiency, and personalized care delivery to patient’s, ultimately leading to improved patient outcomes and healthcare operation. Review of Literature: A mixer of different papers regarding patient’s, medical field and related things Results: AI in the medical field is critical to the advancement of medical robotic surgery, IT operations, health tracking, and diagnostics using automation, predictive analytics, and data-driven insights to improve efficiency, accuracy, and patient care in a variety of healthcare and technology areas. Discussion: By the study and research we can observe that, artificial intelligence is transforming the healthcare industry in numerous areas giving it various wings. Implementation: Healthcare companies may boost operational effectiveness and implement AI strategies, improve patient outcomes, and provide more individualized and efficient care by utilizing AI technologies. Conclusion: The use of AI in medical field is useful as it acts as a good assistance and support, artificial intelligence (AI) allows healthcare businesses to give the best scope and power. Keywords: Artificial intelligence, predictive analytics, Patient , Clinical decision-making, Management, robotic surgery, healthcare, efficient care.

The performance of artificial intelligence in medical field

In modern society, there is an increasing prevalence of individuals who are able to avail themselves of medical facilities for the purpose of receiving healthcare services. With the rise in population, there has been a corresponding decrease in the availability of medical resources for some disorders, leading to challenges in accurately diagnosing patients by healthcare professionals. According to specialists, artificial intelligence (AI) is being considered as a potential solution for addressing medical challenges. This paper mainly focuses on discussing the impact of artificial intelligence in the medical field. Through methods of literature review and analysis, this study explores the fundamental idea of AI and its use in the medical field. Besides, the paper also introduces the potential flaws behind AI in the medical field, and how will artificial intelligence help us further in the medical field. The study reveals that artificial intelligence is extensively employed within the medical sector. Through extensive training, AI has the potential to attain a considerable level of accuracy when it comes to diagnosing various ailments. The level of precision exhibited is akin to that observed in medical practitioners diagnoses. Nevertheless, artificial intelligence possesses certain limitations. For instance, in the context of privacy preservation, several patients exhibit a reluctance to divulge their symptoms. In the absence of adequate safeguards for information security, this situation might potentially lead to adverse consequences in the lives of these patients and their interpersonal interactions. Ultimately, AI continues to possess significant potential for advancement within the realm of medicine.

Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review

Artificial intelligence (AI) in medicine is an increasingly studied and widespread phenomenon, applied in multiple clinical settings. Alongside its many potential advantages, such as easing clinicians’ workload and improving diagnostic accuracy, the use of AI raises ethical and legal concerns, to which there is still no unanimous response. A systematic literature review on medical professional liability related to the use of AI-based diagnostic algorithms was conducted using the public electronic database PubMed selecting studies published from 2020 to 2023. The systematic review was performed according to 2020 PRISMA guidelines. The literature review highlights how the issue of liability in case of AI-related error and patient’s damage has received growing attention in recent years. The application of AI and diagnostic algorithm moreover raises questions about the risks of using unrepresentative populations during the development and about the completeness of information given to the patient. Concerns about the impact on the fiduciary relationship between physician and patient and on the subject of empathy have also been raised. The use of AI in medical field and the application of diagnostic algorithms introduced a revolution in the doctor–patient relationship resulting in multiple possible medico-legal consequences. The regulatory framework on medical liability when AI is applied is therefore inadequate and requires urgent intervention, as there is no single and specific regulation governing the liability of various parties involved in the AI supply chain, nor on end-users. Greater attention should be paid to inherent risk in AI and the consequent need for regulations regarding product safety as well as the maintenance of minimum safety standards through appropriate updates.

A Review on Current Applications of Artificial Intelligence in Medical Field

Artificial Intelligence is a powerful and revolutionary discipline of computer science that has the potential to radically transform medical practise and healthcare delivery. Artificial intelligence (AI) is the intelligence displayed by machines that can aid in the performance of various tasks via sentiment analysis and natural language processing (NLP). Using past data and information, this technology allows machines to learn on their own. When it comes to equipping computers, AI is a subset of machine learning and deep learning, each of which has its own set of tasks. In medical research, artificially intelligent computer systems are commonly used. Patient diagnosis, end-to-end drug discovery and development, enhancing physician-patient communication, transcribing medical documents such as prescriptions, and remotely treating patients are all common applications. We outline current developments in the application of AI in healthcare in this review paper, applications of AI in different medical specialization, and assess the probable future direction of AI-augmented healthcare systems

Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review

Pain is a complex term that describes various sensations that create discomfort in various ways or types inside the human body. Generally, pain has consequences that range from mild to severe in different organs of the body and will depend on the way it is caused, which could be an injury, illness or medical procedures including testing, surgeries or therapies, etc. With recent advances in artificial-intelligence (AI) systems associated in biomedical and healthcare settings, the contiguity of physician, clinician and patient has shortened. AI, however, has more scope to interpret the pain associated in patients with various conditions by using any physiological or behavioral changes. Facial expressions are considered to give much information that relates with emotions and pain, so clinicians consider these changes with high importance for assessing pain. This has been achieved in recent times with different machine-learning and deep-learning models. To accentuate the future scope and importance of AI in medical field, this study reviews the explainable AI (XAI) as increased attention is given to an automatic assessment of pain. This review discusses how these approaches are applied for different pain types.

Visual Analysis of the Application of Artificial Intelligence in Medical Field

Under the background of the rapid development of artificial intelligence in contemporary society, the combination of artificial intelligence and the medical field is becoming closer and closer, and the research and application of the medical field are more and more extensive. In the process, many scholars and experts have made a lot of research and development in the medical field and artificial intelligence. To understand the general situation of artificial intelligence application in the medical field under modern science and technology, we selected the literature data of the CNKI database 1996-2018 related to artificial intelligence application in the medical field as the related research object. Then, using CiteSpace visual analysis software to draw the common and cluster map of keywords, analyze the research hotspot and frontier of combining with sudden variation detection, and explore the application of artificial intelligence in medicine and its professional achievements.

Application of Machine Learning Algorithm in Anesthesia

The application of artificial intelligence in medical field is promoting medical innovations.Specifically,machine learning algorithm promotes the development of anesthesiology.This review elucidates the basic concept,research advances,application,and limitations of machine learning algorithm in anesthesiology.