AI Analysis Reveals New Insights in Jeffery Epstein’s Death

AI Analysis Reveals New Insights in Jeffery Epstein’s Death

On August 10, 2019, the controversial death of a 66-year-old wealthy financier and a sex trafficker died by suicide in one of the most secure jails, New York Jail. Rumours have it that in there, they lived better than some middle-class folks in third-world countries! Four years down the line, AI Analysis has brought into question the detailed 4,000-page document shared by the federal Bureau of Prisons concerning Epstein’s death.

Moral values in us have taught us to dissociate with stories of people who are accused of perpetrating human suffering! Ours is not to find the truth about the death of Epstein, which we leave for authorities to determine. However, we hope to unearth how AI can contribute to justice in an era where being alive is more of a privilege than a right.

In a world where parents have turned into beasts and killed their daughters in the name of discipline; our hearts still go out to Bronx, a 6-year-old who died of bruises all over her body . Police found her gasping for AI in her mom’s bedroom in Forest Houses on 165th Street in Morrisania! This is just one in hundreds and or thousands of innocent children who lose their lives across the world.

Well, back to business …

Let’s compare Dr. Michael Baden’s observation and the AI analysis

The family of Epstein were not convinced by the federal report. Epstein in discussing his suicide attempt before the jail psychologist pointed out that he had a wonderful life and that any attempt to end it would be crazy. Independent psychologist, Dr. Baden had the following analysis to present:

Fractures in Suicidal hanging: Dr. Baden pointed out that Epstein had three fractures which were unusual for a suicide by hanging a) on the left b) right thyroid cartilage and c) left hyoid bone.

Sketch in Autopsy report: The ligature mark was in the middle of his neck instead of the jawbone as common in hanging.

Choosing the hardest way to commit suicide: Baden’s analysis shows that there were wires and codes in the cell but why would someone choose a bedsheet noose?

Read also: How Police Use AI in Facial Recognition 1 million Times

Many questioned Baden’s history of controversial findings in autopsy that differed from the reports provided by authorities. How will we question AI analysis?

Since pictures were made publicly available, Self-proclaimed AI analysts on Reddit after listening to the differences in the body of Epstein before and after his death subjected the pictures to scrutiny. Here are their findings after using Amazon Recognition:

Nose Curvature: Epstein’s living body nose curvature was different from that in his dead picture.

Ear Patterns: His living body had a different ear pattern from the picture presented after his death

However, a comparison between his picture before and after prison showed 99.9% similarities.

What you see may not sound meaningful to you until you become a victim of such circumstances. Many people are behind bars for crimes they never committed since there were technologies to prove them right or wrong. With the AI analysis landing in the hands of experts and nonexperts alike, it could trigger a new wave of justice for the vulnerable when those in state power hide in the dark to subject their loved ones to injustices.

Importance of AI Analysis in Autopsy

AI analysis in autopsy, often referred to as “digital autopsy” or “virtual autopsy,” is gaining importance in the field of forensic medicine and pathology. Here are some of the key reasons why AI analysis is valuable in autopsy procedures:

Enhanced Accuracy

AI algorithms can assist pathologists in accurately identifying and documenting injuries, diseases, and abnormalities. They can provide a second opinion and reduce the likelihood of human error, ensuring more precise forensic investigations.


AI can process large volumes of digital imaging data quickly, allowing for faster autopsy procedures. This efficiency can be especially important in cases where timely results are crucial, such as in criminal investigations or public health emergencies.

Non-invasive Analysis

Traditional autopsies are invasive and may not always be feasible or acceptable, especially in cases where religious or cultural beliefs prohibit it. AI analysis allows for non-invasive post-mortem examinations using medical imaging techniques like CT scans and MRI, which respect these considerations.

Preservation of Evidence

AI-based digital autopsies allow for the preservation of the body, as there is no need for invasive dissection. This can be important in cases where further investigations or legal proceedings may require additional physical examinations.

Minimizing Contamination

Traditional autopsies can introduce contamination or damage to evidence. AI-based autopsies reduce the risk of contamination, preserving the integrity of evidence that may be crucial in criminal investigations.

Cost Reduction

Although there are initial costs associated with implementing AI technology, it can potentially lead to cost savings over time. It reduces the need for physical autopsies, which can be resource-intensive and require specialized facilities.

Remote Consultations

AI analysis can facilitate remote consultations, allowing pathologists and experts from different locations to collaborate and share insights, improving the overall quality of forensic examinations.

While AI analysis in autopsy offers numerous benefits, it should be used as a complementary tool to traditional autopsy methods, as it may not replace the need for physical examinations in all cases. The integration of AI into forensic medicine can enhance the accuracy, efficiency, and overall effectiveness of post-mortem investigations.

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Aparajeeeta Das
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