IIT Indore study reveals early diagnosis of Alzheimer's possible with advanced AI techniques

A recent study by the Indian Institute of Technology (IIT), Indore, has suggested that early diagnosis ofAlzheimer'sDisease (AD) is possible with advanced artificial intelligence (AI) techniques. The study, published in the Nature Mental Health journal,leverages advanced AI techniques to unlock new potentials inAlzheimer’sresearch, marking a significant advancement in understanding and diagnosing this challenging condition.

The study was led by Professor M Tanveer of IIT Indore.The studynot onlyhighlightsthe transformative role of AI in advancing medical diagnosticsbut alsoemphasises the critical role of multidisciplinary expertise and international collaboration in tackling complex healthcare challenges.

Alzheimer'sis a devastating condition characterised by the progressive deterioration of cognitive abilities in the elderly population, presenting a major global health challenge.

A look at ensemble deep learning

The studyprovides an in-depth exploration of recent advancements in ensemble deep learning, delving into sophisticated design features, diversity, and the combination of differenttypes of data, including neuroimaging and genetic information.

"Lately, ensemble deep learning has become popular for enhancing the performance and reliability ofAlzheimer’sdisease diagnosis,"the study said.

"Leveraging neuroimaging data obtained from advanced techniques such as magnetic resonance imaging (MRI) and positron emission tomography (PET), the researchers have meticulously reviewed sophisticated ensemble deep learning models in the manuscript,"it added.

'Early diagnosis ofAlzheimer'scrucial'

Professor Tanveer said that an accurate and early diagnosis ofAlzheimer'sdisease is paramount for effective intervention and treatment planning."Our researchnot only enhances diagnostic precision but alsoenriches our understanding of the intricate dynamics underlying AD,”said Tanveer.

"Early and accurate diagnosis ofAlzheimer’sis crucial. It allows for timely intervention, better management of the condition, and helpsin planningappropriate treatments. Moreover, understanding thebrain'sdynamics through advanced AI techniques can significantly enhance the quality of life for patients and their families,"the professor added.

(With inputs from agencies)