Back

Anonymous

what do you think about how ai help in medical industry?

Karanbir Singh

Student • 1m

Ai significantly helps to detect various diseases using the deep learning through the medical images or the medical data, and there are many models and research papers on disease detection using CNN,random forest models, etc. Moreover with the evolution AI can learns from the medical data which ultimately improves the model and its accuracy.Therefore, AI has significant scope in medical.

0 replies1 like

More like this

Recommendations from Medial

Mohammed Zaid

Building-HatchUp.ai • 8m

Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.

0 replies5 likes
Image Description
Image Description

Rahul Gupta

Hey I am on Medial • 1y

Doctors always want to treat diseases at the early stages. AI will have the ability to not only treat but predict and prevent through advanced medical diagnostics. ~ Peter H. Diamandis

4 replies5 likes
Image Description

Aroneo

| Technologist | ML ... • 3m

Machine Learning vs. Deep Learning: What’s the Real Difference? 🤖⚡ Machine Learning (ML) and Deep Learning (DL) are both AI-driven, but they’re not the same! While ML relies on algorithms to learn from data, DL uses artificial neural networks to pr

See More
2 replies2 likes
1

Harish Khan

Developer • 29d

🤖 A Few Quick Facts About AI! AI is Everywhere From your phone's voice assistant to Netflix recommendations—AI powers many things we use daily. It Learns Over Time AI systems improve by learning from data—just like humans learn from experience. B

See More
0 replies9 likes
Image Description

Pulakit Bararia

Building Snippetz la... • 4m

How AI Works 1. Neural Networks – AI’s Brain AI’s neural networks consist of three layers: Input Layer: Takes in raw data (e.g., an image). Hidden Layers: Process data to find patterns (e.g., detecting edges, shapes). Output Layer: Produces the fi

See More
1 replies4 likes
1

Starclouds

Build Future With St... • 6m

How many data analysts or data scientists are in the medical

0 replies1 like
Anonymous
Image Description
Image Description

How is this early stage startups finding data to train their AI models?

12 replies5 likes

Bhoop singh Gurjar

AI Deep Explorer | f... • 2m

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

See More
0 replies8 likes
1

Aryan patil

Building SwapEat | I... • 1y

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

See More
0 replies4 likes
Anonymous

India’s healthcare sector largely relies on foreign datasets for AI-driven medical research and development. This dependency arises due to the lack of a centralized, large-scale, and high-quality indigenous healthcare dataset. Most AI models in healt

See More
0 replies4 likes
1

Download the medial app to read full posts, comements and news.