AIMC Topic: Artificial Intelligence

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PyPEF-An Integrated Framework for Data-Driven Protein Engineering.

Journal of chemical information and modeling
Data-driven strategies are gaining increased attention in protein engineering due to recent advances in access to large experimental databanks of proteins, next-generation sequencing (NGS), high-throughput screening (HTS) methods, and the development...

Machine Learning Models for Predicting Neonatal Mortality: A Systematic Review.

Neonatology
INTRODUCTION: Approximately 7,000 newborns die every day, accounting for almost half of child deaths under 5 years of age. Deciphering which neonates are at increased risk for mortality can have an important global impact. As such, integrating high c...

Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

The Journal of investigative dermatology
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annually in the United States. Conventionally, BCC is diagnosed by naked eye examination and dermoscopy. Suspicious lesions are either removed or biopsied ...

Economic Evaluations of Artificial Intelligence in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-saving improvements in ophthalmology. Although there has been a rapid growth of studies on AI in the recent years, real-world adoption of AI is still ...

Patentability challenges associated with emerging pharmaceutical technologies.

Pharmaceutical patent analyst
According to the recent patent filing trends, it has been observed that certain pharmaceutical technologies are more popular than others and are commonly referred to as emerging technologies. The emerging technologies in the pharmaceutical sector inc...

Management algorithms and artificial intelligence systems for cardiopulmonary bypass.

Perfusion
This article introduces management algorithms to support operators in choosing the best strategy for metabolic management during cardiopulmonary bypass using artificial intelligence systems. We developed algorithms for the identification of the optim...

The application of artificial intelligence in hepatology: A systematic review.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
The integration of human and artificial intelligence (AI) in medicine has only recently begun but it has already become obvious that intelligent systems can dramatically improve the management of liver diseases. Big data made it possible to envisage ...

Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?

Bioethics
Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guideli...