Table 6.

Future research agenda.

Area	Probable Research Questions
ML, DL model, and human interaction	How can the relationship between doctors and ML, and DL models be optimized? What is the current level of confidence in ML and DL-based medical models? How can physicians and patients gain faith in ML and DL models? How might ML, DL scientists, and healthcare practitioners best collaborate and collaborate? What role do explainable ML, and DL models play in fostering trust?
Security and robustness	How trustworthy are ML, and DL models trained on other brain disorder datasets? Can adversarial attacks in medicine outwit ML and DL models? How should a brain disorder detection and diagnosis ML, and DL system be developed to be resilient and safe against adversarial assaults and actors? Can a brain disorder detection and diagnosis algorithm be used to identify different forms of brain disorders?
Data storage	To preserve data privacy rights, where should the scan data be stored? Is there a future for emerging technologies like blockchain in the storage and administration of medical data? Should patient data be anonymized permanently or only pseudonymized?
Source of publication collection	Is it worth collecting publications from more than one database like PubMed, Scopus, Web of Science, etc.?
Period of publication collection	Is it worth collecting publications over 10 or 15 years for proper bibliometric analysis?
Different language	Is it worth collecting publications in different languages along with English for proper bibliometric analysis?