Alba Hysaj:

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

In this scientific report, the authors demonstrate the highest accuracy to date in recognizing and characterizing Alzheimer’s disease using Artificial Intelligence. Based on their research, current standards depend on highly skilled neurologists to perform an examination that integrates patient history, neuropsychological testing, and MRI (Magnetic Resonance Imaging) to identify likely cases, yet, there is a lack in specificity for imaging-based Alzheimer’s disease diagnosis. The researchers came up with a learning strategy to generate high-resolution visualizations of disease risks that can be used for prediction and accurate diagnosis. They did so by using multimodal inputs of MRI, age, gender, and Mini-Mental State Examination score as well as datasets were chosen for model development and validation.

Link below:
https://academic.oup.com/brain/article/143/6/1920/5827821#205118439

Crystal Rodwell:
RE:
Your summary is too long because it contains to much information. What exactly is the purpose of the report? A summary answers this question by answering who, what, and why. Then, only as required to fully comprehend the report does a summary also answer how, where, and when. Revise with this information in mind.

Separately: Why have you chosen this particle report? In one sentence, make a case to me for its benefit to your life or academic work.

Alba Hysaj
RE:
In this scientific report, the researchers Shangran Qiu, Prajakta S. Joshi, Mathew I. Miller, and Chonghua Xue report that they designed deep learning (AI) algorithm by analyzing datasets of clinically diagnosed Alzheimers disease patients. The model that they designed predicts the probability of a patient’s Alzheimer’s disease and generates an accurate diagnosis based on inputs of patient’s data such as age, gender, or MRI scans.

Crystal Rodwell 
RE:
I repeat from my previous reply, Separately: Why have you chosen this particle report? In one sentence, make a case to me for its benefit to your life or academic work.

Alba Hysaj
RE:

This paper caught my attention because my grandmother suffered from Alzheimer’s at a very young age, and most likely it is genetically inherited so I had a personal connection with it. I felt that if more researches like this were to be done decades ago, it would have been very beneficial if an early diagnosis could prevent a disease to be developed. Besides that, any advancement in medicine is good for society and I think that with today’s technology capabilities there is potential for a great improvement in that field.

Summary revised:
Qiu and his co-authors look at how contemporary methods are effective in integrating neuropsychological testing, MRI, and the history of the patient in identifying likely cases and how much methods lack sensitivity and specificity aspects. In this scientific report, the researchers report that they designed deep learning (AI) algorithm by analyzing datasets of clinically diagnosed Alzheimer’s patients.The model that they designed predicts the probability of a patient’s Alzheimer’s disease and generated an accurate diagnosis on patient’s data such as age, gender, or MRI scans.

Crystal Rodwell 
RE:
Ok. Approved.

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