Artificial intelligence and machine learning: the resurgence of the industrial revolution by robots

Alasnag, M; Hanfi, Yassmin; Alasnag, Mirvat

doi:10.1136/openhrt-2021-001883

Open Heart

2022

DOI: 10.1136/openhrt-2021-001883

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Artificial intelligence and machine learning: the resurgence of the industrial revolution by robots

M Alasnag

Yassmin Hanfi²,

Mirvat Alasnag

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Cited by 2 publications

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Using TECHnology to predict the future of biomedical education

Harris,

Kazdağlı

2024

FEBS Open Bio

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Biomedical research is currently benefiting from a technological revolution in which multiple forms of omics are permitting unprecedented characterization of molecular pathways. Likewise, medical device and Ai‐assisted technologies now make diagnoses and medical imaging more accurate. The field of education is also starting to embrace how technology can promote pedagogical development and student learning. But how will this landscape look like in 2050? With the premise that collaboration will be central to teaching and learning practices, that Together, Everything Can Happen (TECH), we examine the emerging trends and innovations in biomedical education, exploring how they will influence the field's evolution and shape future teaching practices in the coming years.

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Using TECHnology to predict the future of biomedical education

Harris,

Kazdağlı

2024

FEBS Open Bio

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Artificial intelligence to predict atrial fibrillation and replace percutaneous coronary intervention

Palmer

2022

British Journal of Cardiac Nursing

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Artificial intelligence and machine learning: the resurgence of the industrial revolution by robots

Cited by 2 publications

References 11 publications

Using TECHnology to predict the future of biomedical education

Using TECHnology to predict the future of biomedical education

Artificial intelligence to predict atrial fibrillation and replace percutaneous coronary intervention

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