AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Telemedicine

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Feasibility of telesurgery in the modern era.

The neuroradiology journal
Telesurgery is not a foreign concept and dates to as early as the 1920s. The use of robots in medicine has had a very positive effect and improved outcomes with little to no adverse effects. Having global access to telemedicine and telesurgery during...

Word-level text highlighting of medical texts for telehealth services.

Artificial intelligence in medicine
The medical domain is often subject to information overload. The digitization of healthcare, constant updates to online medical repositories, and increasing availability of biomedical datasets make it challenging to effectively analyze the data. This...

Remote telesurgery in humans: a systematic review.

Surgical endoscopy
BACKGROUND: Since the conception of robotic surgery, remote telesurgery has been a dream upon which incredible technological advances haven been built. Despite the considerable enthusiasm for, there have been few published studies of remote telesurge...

Ethical Issues of Digital Twins for Personalized Health Care Service: Preliminary Mapping Study.

Journal of medical Internet research
BACKGROUND: The concept of digital twins has great potential for transforming the existing health care system by making it more personalized. As a convergence of health care, artificial intelligence, and information and communication technologies, pe...

Application of deterministic networking for reducing network delay in urological telesurgery: A retrospective study.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Deterministic Networking (DetNet) is a new technology that can effectively control network delay and may promote the revolution of telemedicine. This study verified the feasibility and advantage of deterministic networking in telesurgery.

ACCU3RATE: A mobile health application rating scale based on user reviews.

PloS one
BACKGROUND: Over the last decade, mobile health applications (mHealth App) have evolved exponentially to assess and support our health and well-being.

Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare.

Sensors (Basel, Switzerland)
COVID-19 is a transferable disease that is also a leading cause of death for a large number of people worldwide. This disease, caused by SARS-CoV-2, spreads very rapidly and quickly affects the respiratory system of the human being. Therefore, it is ...

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine.

The Canadian journal of cardiology
Clinical databases, particularly those composed of big data, face growing security challenges. Blockchain, the open, decentralized, distributed public ledger technology powering cryptocurrency, records transactions securely without the need for third...