AI Medical Compendium Topic

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

Health Personnel

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Basic principles of AI simplified for a Medical Practitioner: Pearls and Pitfalls in Evaluating AI algorithms.

Current problems in diagnostic radiology
With the rapid integration of artificial intelligence into medical practice, there has been an exponential increase in the number of scientific papers and industry players offering models designed for various tasks. Understanding these, however, is d...

Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda.

BMC pregnancy and childbirth
Machine Learning (ML) has been widely used in predicting the mode of childbirth and assessing the potential maternal risks during pregnancy. The primary aim of this review study is to explore current research and development perspectives that utilize...

Application and potential of artificial intelligence in neonatal medicine.

Seminars in fetal & neonatal medicine
Neonatal care is becoming increasingly complex with large amounts of rich, routinely recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the potential to harness this vast quantity and range of information and become...

Evaluation of the humoral response induced by BBIBP-CorV vaccine by determining neutralizing antibodies in peruvian healthcare personnel.

Revista peruana de medicina experimental y salud publica
OBJECTIVE.: To determine the titer of antibodies against the receptor binding domain (RBD) of the spike protein (S) in health personnel between the 4th and 12th week after receiving the BBIBP-CorV vaccine (Sinopharm).

Medically-oriented design for explainable AI for stress prediction from physiological measurements.

BMC medical informatics and decision making
BACKGROUND: In the last decade, a lot of attention has been given to develop artificial intelligence (AI) solutions for mental health using machine learning. To build trust in AI applications, it is crucial for AI systems to provide for practitioners...

Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review.

Journal of medical Internet research
BACKGROUND: Significant efforts have been made to develop artificial intelligence (AI) solutions for health care improvement. Despite the enthusiasm, health care professionals still struggle to implement AI in their daily practice.

Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

Journal of neuroengineering and rehabilitation
BACKGROUND: In recent years, robotic rehabilitation devices have often been used for motor training. However, to date, no systematic reviews of qualitative studies exploring the end-user experiences of robotic devices in motor rehabilitation have bee...

Views on Using Social Robots in Professional Caregiving: Content Analysis of a Scenario Method Workshop.

Journal of medical Internet research
BACKGROUND: Interest in digital technologies in the health care sector is growing and can be a way to reduce the burden on professional caregivers while helping people to become more independent. Social robots are regarded as a special form of techno...

A qualitative exploration of care homes workers' views and training needs in relation to the use of socially assistive humanoid robots in their workplace.

International journal of older people nursing
AIM: The study aimed to explore the views and attitudes of care home workers about the socially assistive robot that was trialled in their workplace, in order to identify training needs in relation to the hypothetical future use of these robots in th...

Prediction of viral symptoms using wearable technology and artificial intelligence: A pilot study in healthcare workers.

PloS one
Conventional testing and diagnostic methods for infections like SARS-CoV-2 have limitations for population health management and public policy. We hypothesize that daily changes in autonomic activity, measured through off-the-shelf technologies toget...