ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

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Algorithm Medical Datasets Python 52

Tweag

APRIL 19, 2023

Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. To allow innovation in medical imaging with AI, we need efficient and affordable ways to store and process these WSIs at scale.

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Striim

JANUARY 30, 2025

By integrating AI/ML models directly into these data streams, organizations gain deeper insights: advanced algorithms can spot emerging patterns, predict cascading effects, and recommend interventionsall in the moment. Logistics A supply chain interruptioncaused by a factory shutdown or severe weathercan ripple through an entire network.By

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Snowflake

JANUARY 17, 2024

Machine learning is used in security algorithms to detect anomalies, and recommendation engines tailor offers for the next thing you should buy, watch or listen to. AI models can scan medical and pharmaceutical data for new treatments and lead to new medical discoveries.

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Cloudera

AUGUST 18, 2021

To prevent that, companies must implement a strategy to make sense of data by first training AI algorithms and then continually refining them as new, relevant information becomes available. At Rush University Medical Center in Chicago, the process of turning data from various sources into actionable insights is no longer just an aspiration.

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Edureka

JUNE 7, 2024

From a technical standpoint, generative AI models depend on various architectures and algorithms to achieve their remarkable creative capabilities. Reinforcement learning algorithms such as Q-Learning and Deep Q-Networks (DQNs) are extensively used in applications like robotics, gaming, and autonomous systems.

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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.

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Knowledge Hut

DECEMBER 27, 2023

Database Structures and Algorithms Different organizations use different data structures to store information in a database, and the algorithms help complete the task. These industries include companies that offer medical services, insurance, manufacturing drugs, or distributing medical equipment.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

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.

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Edureka

APRIL 28, 2025

Applicati ons of Vision Language Models Vision Language Models have several practical applications across industries: Healthcare : analyzing medical images, creating detailed reports, and assisting with disease diagnosis. E-commerce : Allows for more efficient product search, recommendation algorithms, and graphic content development.

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Snowflake

OCTOBER 17, 2024

CHG Healthcare , a healthcare staffing company with over 45 years of industry expertise, uses AI/ML to power its workforce staffing solutions across 700,000 medical practitioners representing 130 medical specialties. We demonstrate how, using a PyTorch-based recommendation algorithm, you can train and deploy a model to do exactly that.

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Food Medical Healthcare AWS 111

Snowflake

JULY 11, 2023

Over 500 healthcare AI algorithms have been approved by the U.S. To design better screening guidelines, sharpen those algorithms, make them better and more effective. They need clinical trials and FDA approval (which the number of approved algorithms we referenced above indicates is not an insurmountable challenge).

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Cloudera

OCTOBER 23, 2023

Planning and Training : AI algorithms can help in optimizing mission planning by considering/integrating factors such as terrain, weather, enemy capabilities, and logistical constraints in real time while suggesting optimal routes, tactics, and strategies for military operations, thus improving outcomes for mission planning.

Medical 81

Medical Government Algorithm Technology 81

The Modern Data Company

APRIL 12, 2023

The unauthorized release of healthcare information could violate regulations such as the HIPAA in the United States, which sets standards for protecting sensitive medical information. If this information were to be disclosed or used without authorization, it could have significant consequences for the individual.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Snowflake

MARCH 20, 2024

Infrastructure = data Products = algorithms If data is the infrastructure in our equation and algorithms the product, what then is the X factor? This algorithmic thinking, at scale and across society, will launch a revolution. To understand how these gen AI models work, we need to understand how a generative algorithm works.

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Algorithm Government Banking Telecommunication 105

Knowledge Hut

JANUARY 18, 2024

Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. What Is Data Science?

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Knowledge Hut

APRIL 26, 2024

Machine learning uses algorithms that comb through data sets and continuously improve the machine learning model. B ut it is a great resource for u sers /learners to get better conne cted with the data and draw insights from it by applying different types of algorithms on it.

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Knowledge Hut

NOVEMBER 7, 2023

Medical Professionals The pandemic has affected the salaries of the medical fraternity. This drives the rise in salaries of medical professionals. Job Profile and Salary: The roles, responsibilities, and salaries for medical professionals are field-specific. The salary has a national average of $345,754 per annum.

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Medical Software Engineer Software Engineering Banking 98

Snowflake

OCTOBER 2, 2024

Today, generative AI-powered tools and algorithms are being used for diagnostics, predicting disease outbreaks and targeted treatment plans — and the industry is just getting started. Medical imaging: Embedding models in AI can identify disease markers in images, helping with early diagnosis and treatment.

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Edureka

APRIL 8, 2025

Medical Technology and Health Care The healthcare business is changing because of new medical technologies and an aging world population. More and more people are needed who know how to use complex medical equipment, keep track of electronic health information, and set up telemedicine solutions.

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Knowledge Hut

JULY 28, 2023

By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Anomaly detection jobs benefit from machine learning algorithms' ability to process vast volumes of data and automatically identify patterns.

Machine Learning 98

Machine Learning Algorithm Datasets Deep Learning 98

Knowledge Hut

OCTOBER 27, 2023

Personality Analysis System Personality Analysis System project is an exciting software engineering project that requires a good understanding of natural language processing, AI algorithms, and data analysis. The system is created to help patients attain health goals and improve their overall wellbeing.

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RandomTrees

APRIL 30, 2024

It has completely changed our approach to medical diagnosis, treatment, and remote patient care. From medical image analysis to drug discovery and personalized treatment, Generative AI is revolutionizing global health initiatives and telemedicine. This is applied to the healthcare sector as well.

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AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

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Machine Learning Building Deep Learning Healthcare 122

AltexSoft

JUNE 14, 2021

If the user’s data indicate the emergence of a serious medical condition, they can send the customer content designed to change their detrimental lifestyle or recommend immediate treatment. The groups are created using algorithms that collect extensive customer data, such as health conditions. Invest in data infrastructure.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

Snowflake

DECEMBER 6, 2023

Sure, you’re asked about current medications and current symptoms during the intake process—but there is so much more to your health and the root of your issues that’s likely not being considered. We’re using healthcare event data to feed algorithms that act as a co-pilot for care managers. Not for lack of caring!

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Knowledge Hut

MAY 3, 2024

E-commerce - Information about the real-time transaction can be passed to streaming clustering algorithms like alternating least squares or K-means clustering algorithm. It has data ranging from image formats like scans etc to specific medical industry standards and wearable tracking devices.

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Hadoop Scala Healthcare Big Data 98

Knowledge Hut

JUNE 13, 2024

In the same way, big data has been transforming the medical sector, fundamentally changing how the most basic procedures of health monitoring are conducted, and that too by shaping and mapping unstructured information. Now when this technology is applied to the medical field, it can help monitor patient health. No wonder 3.5

Healthcare 52

Healthcare Data Science Medical Pharmaceutical 52

Knowledge Hut

NOVEMBER 27, 2023

For instance, sales of a company, medical records of a patient, stock market records, tweets, Netflix’s list of programs, audio files on Spotify, log files of a self-driven car, your food bill from Zomato, and your screen time on Instagram. It is also important to know the underlying math to understand the various ML algorithms.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

Edureka

MARCH 27, 2025

Problem With Image-to-Image Translation Traditional picture-to-image translation algorithms, such as Pix2Pix, need paired datasets, in which each input image corresponds to a target image. Medical Imaging: Translate MRI scans to CT scans. Collecting such information can be time-consuming and costly.

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Edureka

MARCH 26, 2025

In resistance training, the algorithm is used to forecast the most likely value of each missing value in all samples. Example Of Multiple Imputation in a Medical Study A perfect example of Multiple Data Imputation is explained below. Older people usually have more medical tests recorded. Why is Data Imputation Necessary?

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Medical Datasets Data Analysis Machine Learning 40

Knowledge Hut

AUGUST 1, 2023

Machine learning is a way in which artificial intelligence is used to train algorithms or computers. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions. But how is machine learning used in healthcare?

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Machine Learning Medical Healthcare Hospitality 52

Knowledge Hut

MAY 2, 2024

The power behind machine learning’s self-identification and analysis of new patterns, lies in the complex and powerful ‘pattern recognition’ algorithms that guide them in where to look for what. It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen.

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ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

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Towards Data Science

AUGUST 29, 2023

Many classic machine learning algorithms cannot handle missing data, and we need find expert ways to mitigate the issue. By the dropping the missing values, the LDA algorithm can now operate normally. Image by Author. Let’s consider an example. Let’s say we are conducting a study on a patient cohort regarding diabetes, for instance.

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Knowledge Hut

JANUARY 12, 2024

Logistic Regression is a simple and powerful linear classification algorithm. However, it has some disadvantages which have led to alternate classification algorithms like LDA. Thus it is an unsupervised algorithm. Medical – You can use LDA to classify the patient disease as mild, moderate or severe.

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

JUNE 4, 2024

Data science in pharmaceutical industry is extensively used to improve its operations through applications such as predictive modeling, segmentation analysis, machine learning algorithms, visualization tools, etc., which help improve decision-making processes. This helps the companies keep a check on their production pipeline.

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