ProjectPro

JUNE 6, 2025

Medical Image Analysis on AWS Using Deep Learning 7. Project Solution Approach: For this medical image analysis project, you can use the Medical Image Computing and Computer Assisted Intervention (MICCAI) datasets or the National Library of Medicine's Visible Human Project dataset. Customer Reviews Analysis With AWS NLP 3.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

Example “You are a helpful medical assistant.” Example: A healthcare AI retains patient's medical history, facilitating personalized treatment suggestions across visits. medical treatments) must pass human validation. Key Technologies To Be Used LLMs (like GPT-4, Med-PaLM 2, Llama 3) for advanced medical reasoning.

Medical 64

Medical Healthcare Deep Learning Hospitality 64

databricks

AUGUST 10, 2023

Across industries, data scientists spend up to 80% of their time trying to properly prepare and cleanse datasets for data mining and artificial.

Medical 98

Medical Data Mining Datasets Data 98

ProjectPro

JUNE 6, 2025

Here are some Azure MLOps projects you can practice to gain hands-on experience working with Azure Machine Learning Pipelines - Azure Text Analytics for Medical Search Deployment This project develops a machine learning application to recognize the relationship and pattern between various medical terms.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

In industries like healthcare, a hallucinated medical treatment suggestion could lead to life-threatening consequences. For example medical diagnosis and treatment recommendations require specialized knowledge that goes beyond what is captured in a foundational LLM model. Medical Licensing Examination (USMLE)-style questions.

Building 40

Building Medical Finance Healthcare 40

KDnuggets

SEPTEMBER 26, 2024

Accordingly, personalized healthcare aims to provide patients with treatments and medical assistance that are tailored to their unique health status, medical history, and lifestyle: simply put, tailored to their. Instead, there has been a gradual shift towards more individualized and patient-centered solutions.

Healthcare 114

Healthcare Medical Data Science Data 114

ProjectPro

JUNE 6, 2025

The system connected to electronic health records and multiple medical databases, leading to impressive results: a 30% reduction in misdiagnoses for complex cases, a 25% decrease in the time doctors spent reviewing literature, and a 40% increase in early detection of rare diseases. Tools like IBM Watson Health exemplify this application.

Medical 40

Medical Electronics Healthcare Metadata 40

ProjectPro

JUNE 6, 2025

Most healthcare providers have between 50% and 90% of their data segregated, which limits breakthroughs in medical treatments and discoveries while ensuring regulatory compliance. Doctors may run a query on an MRI and display a patient's medical history alongside it.

Healthcare 40

Healthcare Electronics Medical Hospitality 40

databricks

JUNE 11, 2025

Beyond these benchmarks, our customers are also able to build quality agents with Agent Bricks: "Agent Bricks enabled us to double our medical accuracy over standard commercial LLMs, while meeting Flo Health's high internal standards for clinical accuracy, safety, privacy, and security."

Entertainment 98

Entertainment Manufacturing Consulting Retail 98

ProjectPro

JUNE 6, 2025

Medical Data Analysis Effective utilization of textual data sets is challenging for healthcare systems because semi-structured or unstructured data types are not supported by traditional data warehouses, which typically use relational databases.

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Countries worldwide have started investing more in medications, smart healthcare analytics, and medical infrastructure. The use of analytics is not only limited to managing small medical records but can also be applied to more complex processes.

Healthcare 49

Healthcare Electronics Medical Hospitality 49

ProjectPro

JUNE 6, 2025

Similarly, you can apply various machine learning and deep learning techniques to predict and diagnose other medical conditions, such as Alzheimer’s, Diabetes, etc. Non-invasive features, such as blood oxygen levels, patient age, previous medical conditions, etc.,

Machine Learning 68

Machine Learning Retail Healthcare Medical 68

WeCloudData

JUNE 5, 2025

The application of NLP in the medical domain ranges from drug discovery and efficient diagnosis to patient care and automating administrative tasks. Natural Language Processing (NLP) is the key to all the recent advancements in Generative AI. Like many other industries, NLP has also revolutionized the life sciences and healthcare.

Healthcare 52

Healthcare Process Medical Data Science 52

Snowflake

JUNE 25, 2024

Here are five ways healthcare and life sciences organizations are delivering better patient and business outcomes with generative AI: Augment clinical decision-making: Physicians, nurses and other medical professionals don’t typically have a lot of extra time.

Healthcare 114

Healthcare Medical Management Process 114

Cloudera

NOVEMBER 18, 2020

Winner: Rush University Medical Center. Rush University Medical Center is the flagship location for the Rush University System for Health, an academic health system with a mission to improve the health of the individuals and diverse communities in Illinois. Data for Good.

Medical 123

Medical Banking Telecommunication Government 123

ProjectPro

JUNE 6, 2025

Medical NLP Datasets 6. A few common types of NLP datasets are discussed in this blog: Text Classification Datasets Named Entity Recognition Datasets Speech Recognition Datasets Language Generation datasets Medical Datasets Conversational Datasets 1. Download the CSV files for Medical NLP Datasets. Speech Recognition Datasets 4.

Datasets 40

Datasets Process Project Medical 40

Cloudera

FEBRUARY 7, 2024

A simple Google search will show that there are many suggestions from elderly homes, care centers, medical practices, law firms, and associations for seniors that address how to have these conversations. The patient is constantly being assessed for health issues, and immediate action can be taken when needed.

Medical 104

Medical Healthcare Hospitality Insurance 104

databricks

NOVEMBER 14, 2024

In an era where data is the lifeblood of medical advancement, the clinical trial industry finds itself at a critical crossroads. The current.

Medical 101

Medical Building Data Healthcare 101

Knowledge Hut

MARCH 19, 2024

Medical The medical profession is esteemed and one of the most well-paid PCB career options. The start of the COVID-19 pandemic has highlighted the necessity of medical experts. Medical Biochemistry) 7. Bachelor of Dental Surgery This is one of the most sought-after courses in the medical sector after the MBBS degree.

Medical 98

Medical Hospitality Education Programming 98

Snowflake

MARCH 5, 2024

The pharma industry employs computer vision for drug discovery, inspecting medications and cell analysis. Manufacturers use computer vision for quality inspection, robotic assembly and defect detection. Retailers apply the technology to enable automated checkout and shelf inventory checks.

Cloud 133

Cloud Medical Manufacturing Retail 133

Snowflake

SEPTEMBER 27, 2023

Many patients expect to be able to schedule appointments, check medical records and renew their medications online with limited interaction with their care team. High prices create barriers to access for patients, leading them to delay or forgo medical care, resulting in poorer health outcomes.

Healthcare 105

Healthcare Accessible Accessibility Hospitality 105

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency. Source: Intel.

Hospitality 98

Hospitality Medical Healthcare Insurance 98

ProjectPro

JUNE 6, 2025

Link to the Github Repository Build a Medical Radiology Report Analyzer The project involves building a Medical Radiology Reports Analyzer to simplify the interpretation of complex radiology scans such as CT scans, MRIs, and X-rays without needing a medical professional. Technologies Used: Python, OpenAI, Streamlit, GPT-3.5,

Database 40

Database Metadata Medical Recruitment 40

databricks

JUNE 25, 2024

Radiology is an important component of diagnosing and treating disease through medical imaging procedures such as X-rays, computed tomography (CT), magnetic resonance imaging.

Medical 97

Medical Healthcare 97

Snowflake

SEPTEMBER 5, 2023

res = llama_model_ref.predict( deployment_name=DEPLOYMENT_NAME, data=input_df ) This returns a Snowpark dataframe with an output column that contains the model’s response for each row.

Medical 134

Medical Python Government Datasets 134

ProjectPro

JUNE 6, 2025

Additionally, companies like PathAI utilize generative AI to improve disease diagnosis by generating high-quality medical images and data analysis in the healthcare sector. It uses machine learning algorithms to analyze unstructured data, such as patient records and medical images, producing relevant content.

Insurance 52

Insurance Manufacturing Banking Medical 52

Snowflake

JULY 13, 2023

ESO is the largest software and data solutions provider to emergency medical services (EMS) agencies and fire departments in the U.S. If you call 911 and a fire or medical team responds, it’s likely they’re using ESO software to make sure you get the right help fast. Is there a degradation in care as their shift progresses?

Hospitality 98

Hospitality Medical Transportation Scala 98

Knowledge Hut

DECEMBER 21, 2023

Wearable Devices Wearable devices such as smartwatches, fitness trackers, and medical devices are becoming increasingly popular. Medical Devices: Medical devices refer to the use of IoT technology to develop devices that can monitor and track various health parameters such as blood pressure, glucose levels, and oxygen saturation.

Transportation 98

Transportation Coding Medical Hospitality 98

WeCloudData

MARCH 12, 2025

The application of NLP in the medical domain ranges from drug discovery and efficient diagnosis to patient care and automating administrative tasks. Natural Language Processing (NLP) is the key to all the recent advancements in Generative AI. Like many other industries, NLP has also revolutionized the life sciences and healthcare.

Healthcare 52

Healthcare Process Medical Data Science 52

ProjectPro

JUNE 6, 2025

Hence, it is used in handwriting recognition, medical image analysis, face detection, recognition, etc. We see the application of the Kalman filter in real-world applications like robotics, medical applications, defense images and videos, public and private security, and location and navigation systems.

Algorithm 64

Algorithm Medical Datasets Python 64

ProjectPro

JUNE 6, 2025

” — Atul Butte Picture this- Every patient's medical record, every test result, every diagnosis- all neatly organized and analyzed to save lives, improve treatments, and make healthcare smarter. A healthcare data scientist is like a medical detective who uses data to improve patient care.

Healthcare 40

Healthcare Medical Hospitality Electronics 40

ProjectPro

JUNE 6, 2025

suggest_specialist: Based on illness, suggests a relevant medical department. This langchain mcp integration example showed how to build a Medical Diagnosis Assistant using the MCP protocol with LangChain. recommend_treatment: Suggests treatment for given illness. mcp_server.py You’ll see logs for every incoming tool request. .

Building 40

Building Medical Transportation Python 40

Snowflake

JANUARY 17, 2024

AI models can scan medical and pharmaceutical data for new treatments and lead to new medical discoveries. With these new generative AI-driven developments, there is tremendous possibility for AI-enabled breakthroughs. LLM-powered translation tools can make near-instant, highly accurate translations possible.

Telecommunication 119

Telecommunication Pharmaceutical Medical Entertainment 119

KDnuggets

APRIL 28, 2023

John Snow Labs recently released a new LLM called BioGPT-JSL and capabilities tuned specifically to the medical domain. This article summarizes three things you should know about it. 

Healthcare 100

Healthcare Medical IT 100

Edureka

JANUARY 21, 2025

RAG retrieves medical guidelines or research papers and generates patient-specific advice or summaries for healthcare providers. Healthcare RAG system needs extensive medical datasets and context-aware retrieval for accuracy. Healthcare Applications Clinical decision support and patient information systems.

Healthcare 52

Healthcare Education Medical Database 52

ProjectPro

JUNE 6, 2025

Instead, they use synthetic data generation and anonymize patient data that includes features like age, weight, blood pressure, and medical history. For example, rare medical conditions or uncommon events in autonomous driving might not have enough real-world examples to train effective machine learning models.

Healthcare 40

Healthcare Medical Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

Medical Diagnosis: Predictive modeling and data analytics can be used to aid healthcare diagnosis, such as predicting the likelihood of a patient developing a certain disease based on their medical history and other relevant factors. Unlock the ProjectPro Learning Experience for FREE Predictive Analytics Projects on GitHub 10.

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