AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. The most advanced AI algorithms achieved the accuracy of almost 97 percent. Key computer vision applications in healthcare.

Medical 72

Medical Healthcare Datasets Machine Learning 72

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.

Medical 52

Medical Healthcare Algorithm Electronics 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. It can be manually transformed into structured data by hospital staff, but it’s never a priority in the medical setting. Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

Knowledge Hut

JULY 4, 2023

Pattern recognition is used in a wide variety of applications, including Image processing, Speech recognition, Biometrics, Medical diagnosis, and Fraud detection. It is a subfield of machine learning and artificial intelligence. Pattern recognition is a rapidly growing field with a wide range of applications.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

MAY 2, 2024

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. Basics of Machine Learning " style="height: 402px;"> To put it simply, machine learning involves learning by machines.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

APRIL 6, 2021

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. Yann Le Cunn’s Convolutional Neural Network (something we’ll explore later in the article) still remains the backbone of computer vision algorithms.

Deep Learning 40

Deep Learning Python Medical Datasets 40

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. 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. Artificial Intelligence (AI). Neural Networks (NNs).

Medical 60

Medical Process Cloud Bytes 60

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.

Algorithm 52

Algorithm Medical Datasets Python 52

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?

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

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.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

U-Next

MARCH 1, 2023

These may be a notch ahead of the Artificial Intelligence Projects for students. To create facial recognition systems, it applies the principles of machine learning, deep learning, face analysis, and pattern recognition. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans.

Project 96

Project Medical Banking Healthcare 96

Knowledge Hut

NOVEMBER 18, 2023

Machine Learning Platforms Machine learning is an AI technology that focuses on developing algorithms and models, enabling computers to learn patterns and make decisions without being explicitly programmed. One of the most profound impacts of this AI technology can be witnessed, especially in the healthcare sector.

Technology 52

Technology Medical Deep Learning Healthcare 52

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.

Scala 98

Scala Hadoop Healthcare Big Data 98

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. The software includes data analysis and machine learning models that automatically recognize user characteristics and show them product preferences accordingly. Analyzing medical images is one of them.

Data Science 52

Data Science Medical Manufacturing Transportation 52

Knowledge Hut

JULY 28, 2023

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Machine learning offers scalability and efficiency, processing large datasets quickly.

Machine Learning 98

Machine Learning Algorithm Datasets Healthcare 98

Knowledge Hut

JANUARY 11, 2024

Data science, especially in medical imaging, has been helping healthcare professionals come up with better diagnoses and effective treatments for patients. These tools also assist in defining personalized medications for patients reducing operating costs for clinics and hospitals.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

Project 96

Project Healthcare Deep Learning Transportation 96

U-Next

NOVEMBER 25, 2022

It means that Machine Learning applications need to be able to handle large amounts of data quickly and efficiently. Machine Learning algorithms can help overcome these challenges by automatically detecting patterns in the data. . Overall, Big Data and Machine Learning are complementary fields. billion to $209.91

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

JANUARY 27, 2023

Computer vision libraries provide in-built functions and optimized algorithms for various image and video processing tasks. These libraries help data scientists and machine learning engineers save significant time and resources when performing complex image/video processing and analysis tasks with minimal coding.

Python 52

Python Deep Learning Programming Language Algorithm 52

AltexSoft

AUGUST 27, 2022

So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

RandomTrees

DECEMBER 20, 2023

To replicate human cognition, AI uses a system named deep neural network. Modern medical professionals and institutions use Edge AI for surgical procedures. Moreover, it allows patients to monitor their activities and perform remote surgeries. Improved edge AI arrangement could also be a significant change.

IT 52

IT Hospitality Healthcare Deep Learning 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It’s a study of Computer Algorithms, which helps self-improvement through experiences. Like Java, C, Python, R, and Scala. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

AltexSoft

APRIL 27, 2023

This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. For example, researchers may employ ML to analyze demographics, medical histories, genetic makeup, and other data to find and choose trial participants.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

DECEMBER 28, 2023

Ease of Use: A high-level API enables developers to rapidly construct and train ML models without being concerned with algorithmic details. Flexibility: It supports machine learning models ranging from linear regression to deep learning and is compatible with Python, C++, Java, PCs, servers, and mobile devices.

Amazon Web Services 64

Amazon Web Services Machine Learning Medical Deep Learning 64

ProjectPro

OCTOBER 25, 2021

Will machine learning replace the jobs of doctors or instead give us better health in the coming years? No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors. Let us look at how machine learning is revolutionizing the healthcare sector.

Healthcare 52

Healthcare Machine Learning Project Medical 52

Knowledge Hut

OCTOBER 30, 2023

Medical insurance fraud detection Medical Insurance Fraud Detection is a special data science approach for predicting fraud in the medical insurance market that makes use of real-time analysis and classification algorithms. Source Code: Medical Insurance Fraud Detection 4. Source Code: Search Engine 3.

Big Data 52

Big Data Coding Project Medical 52

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. There is a much broader spectrum of things out there which can be classified as data.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

NOVEMBER 18, 2023

Working behind the scenes, they apply complex mathematics and algorithms to process data rapidly and efficiently. They are very good at activities such as object recognition, facial recognition, and even detecting anomalies in medical photos. In fields such as medical diagnosis, medical diagnostics, financial services etc.

Medical 52

Medical Machine Learning Datasets Algorithm 52

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 ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. To summarise, generative AI is an effective tool in machine learning and artificial intelligence that draws on preexisting data to create new, similar data.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Striim

NOVEMBER 18, 2022

This includes medical history, prescriptions, lab results, diagnoses, and treatments. Medical professionals can not only review medical information but also receive suggestions and recommendations based on this information. The Medical University of South Carolina (MUSC) is a healthcare institution working on this combination.

Healthcare 52

Healthcare Hospitality Medical Electronics 52

ProjectPro

JANUARY 20, 2022

is a question that every beginner seeking a career in the machine learning domain has in his mind. Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. In other words, machine learning facilitates the generation of analytical models.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

Snowflake

OCTOBER 26, 2023

Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry.

Healthcare 84

Healthcare Unstructured Data High Quality Data Medical 84