A Study on Role of A.I. and Robotics in Health Care Sector: Its Impact and Contribution

2021 ◽  
Vol 07 (3&4) ◽  
pp. 7-14
Author(s):  
Devnath Jayaswal ◽  

Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.

Author(s):  
Usef Faghihi ◽  
Sioui Maldonado-Bouchard ◽  
Mario Incayawar

Today, deep learning (DL) algorithms are intertwined with our daily life. This subdomain of artificial intelligence (AI) technology is used to unlock your phone by only detecting your face, find the best path from work to your home or vice versa, or detect anomalies in the human cells taken for lab tests. Yet, although AI technology is helping in many fields, whether it has done so in the medical field is debatable. DL lacks reasoning; it is unable to determine the causes of events. This is especially crucial when it comes to the health care sector. At this point, computers cannot help physicians with their duties. On the contrary, they are the cause of burnout in more than half of physicians in United States. One of the causes of burnout repeatedly pointed out by physicians is the digitalization of medicine. This chapter presents some of the AI approaches that could help physicians. It also discusses the current limitations and dangers inherent to many of today’s state-of-the-art AI systems. The authors provide some ideas about the future of AI in pain medicine and psychiatry.


2020 ◽  
Vol 2 ◽  
pp. 58-61 ◽  
Author(s):  
Syed Junaid ◽  
Asad Saeed ◽  
Zeili Yang ◽  
Thomas Micic ◽  
Rajesh Botchu

The advances in deep learning algorithms, exponential computing power, and availability of digital patient data like never before have led to the wave of interest and investment in artificial intelligence in health care. No radiology conference is complete without a substantial dedication to AI. Many radiology departments are keen to get involved but are unsure of where and how to begin. This short article provides a simple road map to aid departments to get involved with the technology, demystify key concepts, and pique an interest in the field. We have broken down the journey into seven steps; problem, team, data, kit, neural network, validation, and governance.


2011 ◽  
Vol 16 (1) ◽  
Author(s):  
Norah L. Katende-Kyenda ◽  
Martie Lubbe ◽  
Juan H.P. Serfontein ◽  
Ilse Truter

Current antiretroviral treatment (ART) guidelines recommend different combinations that have led to major improvements in the management of HIV and AIDS in the developed and developing world. With the rapid approval of many agents, health care providers may not be able to familiarise themselves with them all. This lack of knowledge leads to increased risk of dose- prescribing errors, especially by non-HIV and AIDS specialists. The purpose of this retrospective non-experimental, quantitative drug utilisation study was to evaluate if antiretrovirals (ARVs) are prescribed according to the recommended prescribed daily doses (PDDs) in a section of the private health care sector in South Africa (SA). Analysed ARV prescriptions (49995, 81096 and 88988) for HIV and AIDS patients were claimed from a national medicine claims database for the period 1 January 2005 through to 31 December 2007. ARV prescriptions prescribed by general practitioners (GPs) with PDDs not according to the recommended ARV dosing increased dramatically, from 12.33% in 2005 to 24.26% in 2007. Those prescribed by specialists (SPs) increased from 15.46% in 2005 to 35.20% in 2006 and decreased to 33.16% in 2007. The highest percentage of ARV prescriptions with PDDs not according to recommended ARV dosing guidelines was identified in ARV regimens with lopinavir−ritonavir at a PDD of 1066.4/264 mg and efavirenz at a PDD of 600 mg prescribed to patients in the age group of Group 3 (19 years > age ≤ 45 years). These regimens were mostly prescribed by GPs rather than SPs. There is a need for more education for all health care professionals and/or providers in the private health care sector in SA on recommended ARV doses, to avoid treatment failures, development of resistance, drug-related adverse effects and drug interactions.OpsommingHuidige riglyne vir behandeling met antiretrovirale middels beveel verskillende kombinasies aan wat tot groot verbetering in die beheer van MIV en VIGS in die ontwikkelde en ontwikkelende wêreld gelei het. Met die vinnige goedkeuring van talle nuwe middels kan dit gebeur dat verskaffers van gesondheidsorg nie kan bybly om hulle hiermee op hoogte te hou nie. Hierdie gebrek aan kennis lei tot ‘n hoër risiko vir foute in die voorgeskrewe dosis en veral deur persone wat nie spesialiste in MIV en VIGS is nie. Die doel van hierdie nie-eksperimentele, retrospektiewe, kwantitatiewe studie van die gebruik van geneesmiddels was om te bepaal of antiretrovirale middels in ‘n deel van die privaat gesondheidsorgsektor in Suid-Afrika (SA) volgens die aanbevole voorgeskrewe daaglikse dosisse (VDD) voorgeskryf word. Voorskrifte van antiretrovirale middels (49995, 81096 en 88988) aan pasiënte met MIV en VIGS wat in die periode van 1 Januarie 2005 tot 31 Desember 2007 van ‘n nasionale medisyne databasis geëis is, is ontleed. Voorskrifte van antiretrovirale middels deur algemene praktisyns (APs) met VDDs wat nie volgens die aanbevole dosisse vir antiretrovirale middels was nie, het dramaties van 12.33% in 2005 tot 24.26% in 2007 toegeneem. Die wat deur spesialiste (SPs) voorgeskryf is, het van 15.46% in 2005 tot 35.20% in 2006 toegeneem en in 2007 tot 33.16% gedaal. Die hoogste persentasie van voorskrifte vir antiretrovirale middels met VDDs wat nie volgens die riglyne was nie, was in die regimens met lopinavir−ritonavir met ‘n VDD van 1066.4/264 mg en efavirens met ‘n VDD van 600 mg wat aan pasiënte in die ouderdomsgroep van ouer as 19 tot en met 45 jaar voorgeskryf is. Hierdie regimens is meer deur APs as deur SPs voorgeskryf. Daar is ‘n behoefte aan nog opleiding van alle gesondheidsprofessies en/of voersieners in die privaat gesondheidsorgsektor in SA oor die aanbevole antiretrovirale middel-dosisse om mislukking van behandeling, ontwikkeling van weerstand, nadelige effekte vanweë geneesmiddels en geneesmiddel interaksies te voorkom.


Author(s):  
PRAJITHA BIJU ◽  
PALLAVI K. ◽  
VAGEESH REVADIGAR ◽  
SONAL DSOUZA ◽  
MOHAMMED ASIF IQBAL ◽  
...  

The global crisis of the present era, the COVID-19 pandemic, has changed given new normal ways in many of the sectors. The present review highlights the impact, problems, and challenges faced by major areas of the health care sector due to pandemics and also addresses some of the aspects of upcoming approaches. The healthcare sector is the one sector that is on-demand since this COVID-19 pandemic raised. During the initial period, there was disruption of various services provided by the health care sector due to supply chain management issues and reduction in demand by consumers, quarantine, and lockdown period. The healthcare workers also confronted a huge challenge due to the increased number of cases and shortage of amenities and safety measures. This significantly affected even COVID-19 patients and the general public suffering from other diseases. To fight this issue, research and development (RandD) in pharmaceutical industries with great efforts to explore molecules and save many lives. Gradually innovative ways to strengthen and combat pandemics started emerging. Numeral ways and rules were adopted to prevent, diagnose and cure the disease. Artificial intelligence technology has emerged as one of the boons to address many of the unresolved or time-consuming mysteries. All the divisions of health care sectors have started working more efficiently with adopted new strategies to face future challenges.


foresight ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Demetris Vrontis ◽  
Hani El Chaarani ◽  
Zouhour El Abiad ◽  
Sam El Nemar ◽  
Alissar Yassine Haddad

Purpose The purpose of this paper is to reveal the impact of dynamic managerial innovative capabilities on the competitive advantage (CA), financial performance (FP) and non-financial performance (NFP) of the health-care sector during the very turbulent Covid-19 pandemic period. The focus is on human behavior and personnel interaction in the hospitals that receive Covid-19 cases. Design/methodology/approach Data for this research was collected from the medical sector in Lebanon. The authors approached 14 public hospitals and 60 private hospitals for the study and only 48 hospitals (total of 284 respondents) accepted to complete the survey and provide data using a structured questionnaire. Findings This study reveals the moderating impact of CA on the relationship between dynamic managerial innovative capabilities and the performance of the health-care sector. Based on 48 Lebanese health-care centers during the Covid-19 pandemic, the results of the structural equation modeling model indicate that dynamic managerial innovative practices positively impact on CA and NFP. The results also reveal that CA has a moderating effect on the relationship between dynamic managerial innovative practices and NFP. Practical implications This study does not reveal any direct or indirect relationship between managerial capabilities and FP during the pandemic. Originality/value As the world deals with the Covid-19 pandemic, the health-care sector needs new approaches and methods for confronting the constantly evolving and turbulent environment. This study examines how health-care leaders are dealing with these dynamic challenges and tests a three-dimensional SEM model of dynamic managerial capabilities (sensing, seizing and reconfiguration) that impact CA.


Author(s):  
Abraham Rudnick

Artificial intelligence (AI) and its correlates, such as machine and deep learning, are changing health care, where complex matters such as comoribidity call for dynamic decision-making. Yet, some people argue for extreme caution, referring to AI and its correlates as a black box. This brief article uses philosophy and science to address the black box argument about knowledge as a myth, concluding that this argument is misleading as it ignores a fundamental tenet of science, i.e., that no empirical knowledge is certain, and that scientific facts – as well as methods – often change. Instead, control of the technology of AI and its correlates has to be addressed to mitigate such unexpected negative consequences.


Author(s):  
Jose Aurelio Medina-Garrido ◽  
María José Crisóstomo-Acevedo

The case of Comitas Comunicaciones is a clear example of corporate entrepreneurship in the telecommunications sector. This firm was founded to offer telecommunications services in general and telecommunications services applied to telemedicine in particular. Comitas exploits business opportunities in the health care sector that no other firm is currently focusing on adequately. As the case develops, the technical and market difficulties that the firm has faced will become apparent. The role of the incubator firm is particularly important in this case, since it has provided Comitas with resources, capabilities, and technological knowledge that are complementary in the firm’s new activity: information and communications technologies services (ICT) to support telemedicine.


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