scholarly journals Artificial Intelligence in medicine: today and tomorrow

2020 ◽  
Author(s):  
Giovanni Briganti ◽  
Olivier Le Moine
Keyword(s):  
Artificial Intelligence ◽  
Atrial Fibrillation ◽  
Medical Education ◽  
Clinical Practice ◽  
Scientific Literature ◽  
Medical Curriculum ◽  
Histopathological Examination ◽  
Medical Technologies ◽  
Digital Medicine ◽  
Medicine Today

Artificial intelligence-powered medical technologies are rapidly evolving into applicable solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of data provided by wearables, smartphones and other mobile monitoring sensors in different areas of medicine.Currently, only very specific settings in clinical practice benefit from the application of artificial intelligence, such as the detection of atrial fibrillation, epilepsy seizures, and hypoglycemia, or the diagnosis of disease based on histopathological examination or medical imaging. The implementation of augmented medicine is long-awaited by patients because it allows for a greater autonomy and a more personalized treatment, however, it is met with resistance from physicians which were not prepared for such an evolution of clinical practice.This phenomenon also creates the need to validate these modern tools with traditional clinical trials, debate the educational upgrade of the medical curriculum in light of digital medicine as well as ethical consideration of the ongoing connected monitoring. The aim of this paper is to discuss recent scientific literature and provide a perspective on the benefits, future opportunities and risks of established artificial intelligence applications in clinical practice on physicians, healthcare institutions, medical education and bioethics.

scholarly journals Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Pierre Auloge ◽  
Julien Garnon ◽  
Joey Marie Robinson ◽  
Sarah Dbouk ◽  
Jean Sibilia ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Interventional Radiology ◽  
Clinical Practice ◽  
Medical Students ◽  
Medical Curriculum ◽  
New Technology ◽  
Large Population ◽  
The Other ◽  
Clinical Phase ◽  
Preclinical Phase

Abstract Objectives To assess awareness and knowledge of Interventional Radiology (IR) in a large population of medical students in 2019. Methods An anonymous survey was distributed electronically to 9546 medical students from first to sixth year at three European medical schools. The survey contained 14 questions, including two general questions on diagnostic radiology (DR) and artificial intelligence (AI), and 11 on IR. Responses were analyzed for all students and compared between preclinical (PCs) (first to third year) and clinical phase (Cs) (fourth to sixth year) of medical school. Of 9546 students, 1459 students (15.3%) answered the survey. Results On DR questions, 34.8% answered that AI is a threat for radiologists (PCs: 246/725 (33.9%); Cs: 248/734 (36%)) and 91.1% thought that radiology has a future (PCs: 668/725 (92.1%); Cs: 657/734 (89.5%)). On IR questions, 80.8% (1179/1459) students had already heard of IR; 75.7% (1104/1459) stated that their knowledge of IR wasn’t as good as the other specialties and 80% would like more lectures on IR. Finally, 24.2% (353/1459) indicated an interest in a career in IR with a majority of women in preclinical phase, but this trend reverses in clinical phase. Conclusions Development of new technology supporting advances in artificial intelligence will likely continue to change the landscape of radiology; however, medical students remain confident in the need for specialty-trained human physicians in the future of radiology as a clinical practice. A large majority of medical students would like more information about IR in their medical curriculum; almost a quarter of students would be interested in a career in IR.

scholarly journals Detección automática de la Fibrilación Auricular a través de un Smartwatch

2019 ◽  
Vol 11 (4) ◽  
pp. 3
Author(s):  
Anna Abad Torrent ◽  
Helena Benito Naverac
Keyword(s):  
Artificial Intelligence ◽  
Atrial Fibrillation ◽  
Clinical Practice ◽  
General Population ◽  
Cardiac Arrhythmia ◽  
Automatic Detection ◽  
Insuficiencia Cardiaca ◽  
Intelligence Models ◽  
Artificial Intelligence Models ◽  
Electrocardiogram Ecg

La fibrilación auricular es la arritmia cardiaca más frecuente en la práctica clínica. La prevalencia se sitúa en torno al 0,4 - 1 % de la población general. Aumenta con la edad, llegando hasta el 8% a partir de los 80 años. Esta arritmia es la principal causa a nivel mundial de accidente cerebrovascular (20-30% de los casos son debidos a la fibrilación auricular), insuficiencia cardíaca o muerte súbita. Muchas veces , es clínicamente silente o se manifiesta con síntomas vagos como las palpitaciones, que pueden atribuirse erróneamente a ansiedad y retrasar el diagnóstico. La instauración temprana de anticoagulación (en determinados casos) reduce, de forma significativa la incidencia de fenómenos tromboembólicos. ABSTRACT Automatic detection of atrial fibrillation using a Smartwatch Atrial fibrillation is the most common cardiac arrhythmia in clinical practice. The prevalence is around 0.4 — 1% of the general population. It increases with age, reaching up to 8% from 80 years. In cardiology, the standard for the diagnosis of a cardiac arrhythmia is based on the performance of an electrocardiogram (ECG). From the monitoring of KardiaBand ™ and SmartRhythm ™, AliveCor launches the first platform for Apple Watch series 4, which combines an electrocardiography device approved by the FDA and certain analysis algorithms with artificial intelligence models, which help to detect the atrial fibrillation.  

Professional Qualification of German Physicians in Medical Informatics

1994 ◽  
Vol 33 (03) ◽  
pp. 312-314 ◽  
Author(s):  
J. Michaelis
Keyword(s):  
Medical Education ◽  
Clinical Practice ◽  
Federal Republic ◽  
Medical Informatics ◽  
Professional Training ◽  
Federal Republic Of Germany ◽  
Professional Qualification ◽  
Medical Degree ◽  
Formal Program ◽  
Medical Domain

Abstract:In addition to the medical education in the Federal Republic of Germany which includes a compulsory Medical Informatics course there exists a formal program for professional qualification of physicians in Medical Informatics. After two years of clinical practice and 1.5 years of professional training at an authorized institution, a physician may receive in addition to the medical degree a “supplement Medical Informatics”. The qualification requirements are described in detail. Physicians with the additional Medical Informatics qualification perform responsible tasks in their medical domain and serve as partners for fully specialized Medical Informatics ex-’ perts in the solution of practical Medical Informatics problems. The formal qualification is available for more than 10 years, has become increasingly attractive, and is expected to grow with respect to future Medical Informatics developments.

Artificial Intelligence as a Business Partner in Cardiovascular Precision Medicine: an Emerging Approach for Disease Detection and Treatment Optimization

2020 ◽  
Vol 28 ◽  
Author(s):  
Valeria Visco ◽  
Germano Junior Ferruzzi ◽  
Federico Nicastro ◽  
Nicola Virtuoso ◽  
Albino Carrizzo ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Heart Failure ◽  
Atrial Fibrillation ◽  
Precision Medicine ◽  
Clinical Decision Making ◽  
Disease Detection ◽  
Physician Patient Relationship ◽  
Invasive Approach ◽  
Tailored Treatment ◽  
The Impact

Background: In the real world, medical practice is changing hand in hand with the development of new Artificial Intelligence (AI) systems and problems from different areas have been successfully solved using AI algorithms. Specifically, the use of AI techniques in setting up or building precision medicine is significant in terms of the accuracy of disease discovery and tailored treatment. Moreover, with the use of technology, clinical personnel can deliver a very much efficient healthcare service. Objective: This article reviews AI state-of-the-art in cardiovascular disease management, focusing on diagnostic and therapeutic improvements. Methods: To that end, we conducted a detailed PubMed search on AI application from distinct areas of cardiology: heart failure, arterial hypertension, atrial fibrillation, syncope and cardiovascular rehabilitation. Particularly, to assess the impact of these technologies in clinical decision-making, this research considers technical and medical aspects. Results: On one hand, some devices in heart failure, atrial fibrillation and cardiac rehabilitation represent an inexpensive, not invasive or not very invasive approach to long-term surveillance and management in these areas. On the other hand, the availability of large datasets (big data) is a useful tool to predict the development and outcome of many cardiovascular diseases. In summary, with this new guided therapy, the physician can supply prompt, individualised, and tailored treatment and the patients feel safe as they are continuously monitored, with a significant psychological effect. Conclusion: Soon, tailored patient care via telemonitoring can improve the clinical practice because AI-based systems support cardiologists in daily medical activities, improving disease detection and treatment. However, the physician-patient relationship remains a pivotal step.

Preliminary Medical Education and the Medical Curriculum

BMJ ◽  
1890 ◽  
Vol 2 (1560) ◽  
pp. 1213-1213 ◽  
Author(s):  
J. Banks
Keyword(s):  
Medical Education ◽  
Medical Curriculum

scholarly journals Medical Education From a Theory–Practice–Philosophy Perspective

2021 ◽  
Vol 8 ◽  
pp. 237428952110102
Author(s):  
Susan A. Kirch ◽  
Moshe J. Sadofsky
Keyword(s):  
United States ◽  
Medical Education ◽  
Curriculum Design ◽  
Historical Perspective ◽  
Curriculum And Instruction ◽  
Medical Curriculum ◽  
Educational Theory ◽  
The United States ◽  
History Of ◽  
How People Learn

Medical schooling, at least as structured in the United States and Canada, is commonly assembled intuitively or empirically to meet concrete goals. Despite a long history of scholarship in educational theory to address how people learn, this is rarely examined during medical curriculum design. We provide a historical perspective on educational theory–practice–philosophy and a tool to aid faculty in learning how to identify and use theory–practice–philosophy for the design of curriculum and instruction.

Edoxaban treatment of elderly patients with atrial fibrillation in routine clinical practice: 1-year results of the non-interventional Global ETNA-AF program

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Yamashita ◽  
C.C Wang ◽  
Y.-H Kim ◽  
R De Caterina ◽  
P Kirchhof ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Clinical Practice ◽  
Major Bleeding ◽  
Intracranial Haemorrhage ◽  
Clinical Care ◽  
Oral Anticoagulants ◽  
Clinical Event ◽  
Funding Source ◽  
Private Company ◽  
All Cause Mortality

Abstract Background The prevalence of atrial fibrillation (AF) and the need for appropriate anticoagulation increase with age. The benefit/risk profile of direct oral anticoagulants such as edoxaban in elderly population with AF in regular clinical practice is therefore of particular interest. Purpose Analyses of Global ETNA-AF data were performed to report patient characteristics, edoxaban treatment, and 1-year clinical events by age subgroups. Methods Global ETNA-AF is a multicentre, prospective, noninterventional program conducted in Europe, Japan, Korea, Taiwan, and other Asian countries. Demographics, baseline characteristics, and 1-year clinical event data were analysed in four age subgroups. Results Of 26,823 patients included in this analysis, 50.4% were ≥75 years old and 11.6% were ≥85 years. Increase in age was generally associated with lower body weight, lower creatinine clearance, higher CHA2DS2-VASc and HAS-BLED scores, and a higher percentage of patients receiving the reduced dose of 30 mg daily edoxaban. At 1-year, rates of ISTH major bleeding and ischaemic stroke were generally low across all age subgroups. The proportion of intracranial haemorrhage within major bleeding events was similar across age groups. All-cause mortality increased with age more than cardiovascular mortality. Conclusion Data from Global ETNA-AF support the safety and effectiveness of edoxaban in elderly AF patients (including ≥85 years) in routine clinical care with only a small increase in intracranial haemorrhage. The higher all-cause mortality with increasing age is not driven by cardiovascular causes. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Daiichi Sankyo

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