Correction to: Artifcial Intelligence Review (2024) 57:86

https://doi.org/10.1007/s10462-024-10714-5

The Publishing Team missed some corrections during the proofreading stage. Below is the list of corrections:

Page 2 of 38: Fig. 1 is shifted to the top of Page 2 of 38.

Page 2 of 38: The term “For example” was split between pages 2 and 4 with a Table 1 in between. The text is now shifted so that “For example” is together.

Page 2 of 38: A full stop is added at the end of the following statement: “Table 1 provides a list of some important summary tables and figures reported in the literature about AI in drug discovery.”. 

Page 2 of 38: The statement “and below is a brief description of the most used classes and subclasses of AI algorithms in this review” was deleted.

Page 2 of 38: The statement “There are different classes of ML methods, among which the most commonly used methods…” is now replaced with “There are different classes of ML methods. The most commonly used methods…”.

Page 5 of 38: Two commas are added in the following statement: “A major limitation of DNNs is their complex nature, which makes them challenging to interpret, …”.

Page 7 of 38: Table 2 is rotated.

Page 9 of 38: The hyphen in `AI-methods` is removed in the following statement: “At the end of each section, we present a critical review on the AI methods discussed, …”

Page 11 of 38: The following sentence now begins on a new line: “AI has also significantly assisted in the early detection of a life-threatening condition called sepsis, where the body develops an extreme immune response towards infections.”

Page 18 of 38: A full stop is added at the end of the following statement: “Since many diseases are associated with the upregulation or downregulation of certain proteins, it is important to correctly identify the protein responsible for causing a disease during drug development.”

Page 28 of 38: A comma is replaced with a full stop at the end of the following statement: “…, we propose establishing a comprehensive repository of protein structures with standardized data content and formats.”

Page 31 of 38: The following sentence now begins on a new line: “We foresee that the future of AI-assisted drug discovery involves the development of a comprehensive virtual human model that encompasses the intricate complexity of human beings.”

Page 33 of 38: A full stop is added at the end of the following reference: “DePristo M, Poplin R (2017) DeepVariant: highly accurate genomes with deep neural networks. Google AI Blog.”.

Page 34 of 38: A full stop is added at the end of the following reference: “K FM, Mohan M (2022) Ensemble learning models for drug target interaction prediction. International Conference on Applied Artificial Intelligence and Computing.”.

The original version has been corrected.