AIMC Topic: Artificial Intelligence

Clear Filters Showing 25431 to 25440 of 26332 articles

Digitizing the Pharma Neurons - A Technological Operation in Progress!

Reviews on recent clinical trials
BACKGROUND: Digitization and automation are the buzzwords in clinical research and pharma companies are investigating heavily here. Right from drug discovery to personalized medicine, digital patients and patient engagement, there is great considerat...

Ethics in the Era of Artificial Intelligence.

IEEE pulse
Ethics can be interesting and fascinatingly compelling because of the subtle natures of its solutions in ambiguous situations. Articles on ethical issues and college courses on ethics rarely present answers to the questions that are posed. That is be...

Artificial Intelligence and the Future of Psychiatry.

IEEE pulse
An estimated 792 million people live with mental health disorders worldwide-more than one in ten people-and this number is expected to grow in the shadow of the Coronavirus disease 2019 (COVID-19) pandemic. Unfortunately, there aren't enough mental h...

Assessing the Risks Posed by the Convergence of Artificial Intelligence and Biotechnology.

Health security
Rapid developments are currently taking place in the fields of artificial intelligence (AI) and biotechnology, and applications arising from the convergence of these 2 fields are likely to offer immense opportunities that could greatly benefit human ...

[Artificial intelligence (AI) and hematological diseases: establishment of a peripheral blood convolutional neural network (CNN)-based digital morphology analysis system].

[Rinsho ketsueki] The Japanese journal of clinical hematology
Morphological analysis of the blood smear is an essential element of diagnosing a disease hematologically and has been performed by conventional manual light microscopy for several decades. Although this method is the gold standard, it is labor-inten...

[Artificial intelligence-guided precision medicine in hematological disorders].

[Rinsho ketsueki] The Japanese journal of clinical hematology
Precision medicine in oncology uses genomic data to provide the right intervention in the right patients at the right time. For this purpose, next-generation sequencing (NGS) is an indispensable tool. However, further innovations are necessary, inclu...

[Present and future perspectives of artificial intelligence: examples of mathematical approaches for analysis of disease dynamics].

[Rinsho ketsueki] The Japanese journal of clinical hematology
Artificial intelligence (AI) has been applied widely in medicine. For example, deep neural network-based deep learning is particularly effective for pattern recognition in static medical images. Additionally, dynamic time series data are analysed ubi...

Future Vision 2020 and Beyond-5 Critical Trends in Eye Research.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Ophthalmology has been at the forefront of many innovations in basic science and clinical research. The randomized prospective multicenter clinical trial, comparative clinical trials, the bench to beside development of diagnostic and therapeutic devi...

Update on Intraocular Lens Formulas and Calculations.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Investigators, scientists, and physicians continue to develop new methods of intraocular lens (IOL) calculation to improve the refractive accuracy after cataract surgery. To gain more accurate prediction of IOL power, vergence lens formulas have inco...