Emerging Tech·166 discussions

How is AI transforming healthcare, manufacturing, and logistics in 2025?

Tags: Community, Emerging tech, Software

What are some real-world examples where artificial intelligence has improved efficiency, accuracy, or outcomes in these industries?

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Here in the USA, we’re headed in another direction.

In reply to How is AI transforming healthcare, manufacturing, and logistics in 2025?

Today we hear that our new health industry will be called MAHA and what we have is being wound down and closed.

There is no sign of AI use by MAHA.

[Wizard57M-TR]

Reply To: How is AI transforming healthcare, manufacturing, and logistics in 2025?

In reply to Here in the USA, we’re headed in another direction.

There is no sign of intelligence, artificial or human…”What if we send the battle plans to our group chat on Signal?” LOL!
Don’t forget, most of the senior staff at CDC was recently terminated, so next epidemic folks can feel good about following advice to disinfect their lungs with bleach, or stick a UV light down their gullible gullets…mask, don’t need no stinkin’ masks! Vaccine, smaccines…just use the “all new MAHA HealthBot AI chatbot! Oops…https://www.zdnet.com/article/your-favorite-ai-chatbot-is-lying-to-you-all-the-time/
Brought to you by your friends in DOGE, MAGA, and MAHA! 😉

• This reply was modified 3 weeks, 5 days ago by Wizard57M-TR.
• This reply was modified 3 weeks, 5 days ago by Wizard57M-TR.

And here I thought it was Cod Liver Oil and vitamins.

In reply to Reply To: How is AI transforming healthcare, manufacturing, and logistics in 2025?

“Thoughts and prayers.”

Just like it was in the dark ages. From the web, and sounds as if this is where the USA is headed today:

“During the “Dark Ages” (roughly 500-1400 AD), medicine was heavily influenced by religion and ancient Greek and Roman medical knowledge. Medical practices included bloodletting, cupping, leeching, and the use of herbal remedies. Disease was often seen as a punishment from God, and prayer and religious rituals were common treatments. Medical schools and hospitals began to emerge, often within monasteries, but scientific progress was limited compared to earlier periods like classical antiquity. “

[Imperoitservice]

Reply To: How is AI transforming healthcare, manufacturing, and logistics in 2025?

In reply to How is AI transforming healthcare, manufacturing, and logistics in 2025?

We have directly seen how AI is driving real efficiency gains, accuracy improvements & better outcomes. Sharing a few real-world examples::

1) AI-assisted diagnostics: A telemedicine client integrating AI models trained on radiology datasets (chest X-rays, CT scans). This helped reduce the average diagnosis time for TB and pneumonia by over 40%, mainly in remote areas with limited access to specialists.

2) Predictive maintenance: Integrating IoT sensors with an AI-driven monitoring system for the manufacturing in the automotive sector integrated. In result equipment downtime dropped by ~30%.

3) Route optimization: AI-based delivery routing for a mid-sized logistics firm in the US. implementing real-time traffic, weather & vehicle load to reduce fuel consumption.

• This reply was modified 3 weeks, 5 days ago by Imperoitservice.
• This reply was modified 3 weeks, 5 days ago by kees_b.

Reply To: How is AI transforming healthcare, manufacturing, and logistics in 2025?

In reply to How is AI transforming healthcare, manufacturing, and logistics in 2025?

In 2025, artificial intelligence will improve healthcare, manufacturing and logistics through predictive analytics, smart routing and real-time supply chain optimization.

Reply To: How is AI transforming healthcare, manufacturing, and logistics in 2025?

In reply to How is AI transforming healthcare, manufacturing, and logistics in 2025?

I might not actually tell about other sectors, but in the health sector, AI is doing well.
Apart from the robotic surgery, I know that AI is making wave in the research departments of the health sector.
Some difficult specimens could be developed by an AI model for research and advancement.
In the manufacturing industry, I believe much more should be happening there.

[Author]

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