Marktechpost

OCTOBER 24, 2023

However, mental health disorders are significantly underserved for various reasons, such as a lack of mental health specialists, subpar treatments, prohibitive costs, and societal stigma. In high-income regions, treatment coverage for mental health services is 33%; in low- and lower-middle-income areas, it is just 8%.

Large Language Models 108

Large Language Models LLM AI AI 108

Unite.AI

JUNE 3, 2023

Although driven by demand, the fundamental cause for such a development is the recognition of ‘information’ (and knowledge) as an independent scientific subject, on the same level as matter (Physics, Chemistry), environment (Engineering Sciences), and life (Health Sciences, Biology). I believe this is my most groundbreaking proposal.

Artificial Intelligence 246

Artificial Intelligence Artificial Intelligence AI AI 246

Flipboard

DECEMBER 14, 2023

StudioM1/Getty Images Getting AI to improve mental health outcomes is not as simple as firing up ChatGPT. I was fortunate: My full-time job included health insurance. I lived in an area with many mental health professionals, and I had the means to consider therapists who were out of network.

Chatbots 163

Chatbots Large Language Models ChatGPT AI Chatbots 163

IBM Journey to AI blog

SEPTEMBER 12, 2023

Models improve trade for industry and government The report finds that the tested models can eliminate up to 62% of delays on imported goods that are subject to plant, animal or health controls. The models also reduce private sector customs data collection costs by 40%.

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Ehud Reiter

MAY 5, 2024

Tim Bickmore has worked on apps to encourage health behaviour change for 20 years, using much better technology than I did. Of course this is a common finding in health behaviour more generally; for example most people who start diets abandon them. A few years ago he told me that it was very difficult to show long-term impact.

AI 109

AI AI ML Explainability 109

Marktechpost

MAY 3, 2024

For example, Med-PaLM 2 produced answers to consumer health questions that were competitive with human doctors, and a GPT-4-based system achieved 90.2% To train the model for the MultiMedQA Long Form Question Answering job, the researchers fed it health-related queries that users often submit to search engines. on the MedQA task.

Large Language Models 85

Large Language Models NLP ML AI 85

Flipboard

JUNE 3, 2023

But health records tell a different story, full of doctors’ notes and patient histories, vital signs and test results, potentially spanning weeks of a stay. In health studies, all of that data is multiplied by hundreds of patients. A hospital visit can be boiled down to an initial ailment and an outcome.

Machine Learning 159

Machine Learning Big Data Algorithm Data Analysis 159

Flipboard

MAY 16, 2023

. “The company mission is to develop the safest artificial health g eneral intelligence in order to dramatically improve healthcare accessibility and health outcomes.” Babylon Health , an AI startup backed by the U.K.’s “In the pandemic, labor costs went up 30% for most health systems, but revenue didn’t.

Large Language Models 169

Large Language Models OpenAI Explainability LLM 169

Aiiot Talk

JULY 31, 2023

AI technologies are helping farmers minimize antibiotic treatment in dairy farms, supporting improved health outcomes for humans and animals. While antibiotics can be invaluable for ensuring livestock health, too much treatment can contribute to antimicrobial resistance in humans.

Machine Learning 130

Machine Learning AI AI Computer Vision 130

IBM Journey to AI blog

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. In 2020, the National Institute for Health (NIH) published a report stating that Black Americans died from COVID-19 at higher rates than White Americans, even though they make up a smaller percentage of the population.

Responsible AI 184

Responsible AI Metadata Explainability AI 184

Marktechpost

DECEMBER 17, 2023

The potential of medical LLMs in clinical contexts like Electronic Health Records (EHRs), discharge summary production, health education, and care planning has been the subject of recent efforts; however, these models frequently lack a common evaluation dataset.

Large Language Models 121

Large Language Models Natural Language Processing NLP AI 121

ODSC - Open Data Science

OCTOBER 13, 2023

Their journey, however, took a difficult turn when Dulce’s mental health struggles led to hospitalizations, and they lost their home. The call came from the Los Angeles County Department of Health Services, part of a pioneering program aimed at curbing the city’s homelessness crisis.

Data Science 98

Data Science AI AI Machine Learning 98

Marktechpost

MARCH 31, 2024

Specialized models, such as Med-PaLM 2, have greatly influenced fields such as healthcare and biomedical research by enabling activities like radiological report interpretation, clinical information analysis from electronic health records, and information retrieval from biomedical literature. on the MMLU Medical Genetics test and 57.3%

AI Modeling 130

AI Modeling Large Language Models Natural Language Processing NLP 130

Marktechpost

FEBRUARY 1, 2024

These questions span six core disciplines: Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering. The third stage involves supplementing questions to subjects needing more representation, ensuring a balanced dataset across disciplines.

Large Language Models 112

Large Language Models Artificial Intelligence Artificial Intelligence Data Quality 112

Aiiot Talk

JULY 11, 2023

Medication and Health Monitoring Pharmacists and pharmacy operatives across the world face a particular challenge in monitoring uptake and regulating patient compliance. Anxiety, depression or other mental health challenges. They may sometimes assess patient health and make recommendations.

Robotics 100

Robotics Artificial Intelligence Artificial Intelligence Automation 100

Unite.AI

APRIL 18, 2024

Models with outputs that impact business, financial, health, or personal situations must be trusted, or they won’t be used. This was a relatively low-risk example of bias but is exactly why the EU AI Act has put forth requirements to prove model efficacy (and controls) before going to market.

ML 189

ML AI AI Explainability 189

Towards AI

SEPTEMBER 10, 2023

NATURE’S WATCHFUL EYE: HARNESSING SATELLITE DATA FOR LAND HEALTH ASSESSMENT Satellites play a pivotal role in the toolkit of scientists, enabling them to monitor Earth’s atmosphere, terrain, and oceans. Tailored to enhance the visibility of vegetation while minimizing atmospheric interference, EVI offers insights into vegetation health.

Algorithm 115

Algorithm Computer Vision AI AI 115

Unite.AI

MAY 24, 2024

This will undoubtedly be the subject of future debate about how local governments permit unmanned aerial vehicles over homes or commercial districts, how big those packages can be, and what they can contain. This information is filtered through the AI/ML process to generate optimized on-road delivery routes.

ML 147

ML Artificial Intelligence Artificial Intelligence Machine Learning 147

Unite.AI

FEBRUARY 19, 2024

Recent case studies, however, reveal instances where AI-powered RPA bots demonstrate the ability to make subjective judgments, use interpretation skills, and handle multiple case exceptions. Any innocent human error is eliminated and enables health insurance companies to fasten claims processing with minimal manual intervention.

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

IBM Journey to AI blog

APRIL 21, 2023

CSRD values sustainability metrics alongside environmental performance, paying particular attention to the “S” in ESG, such as employee health, human rights, bribery, anti-corruption and diversity. Companies that are already subject to the NFRD will need to report on 2024 data (reporting year 2025).

ESG 109

ESG Explainability Automation AI 109

Heartbeat

OCTOBER 23, 2023

This article explores the profound impact of health informatics, focusing on data scientists and machine learning engineers who play a pivotal role in leveraging data-driven approaches to revolutionize healthcare.

Data Scientist 52

Data Scientist Machine Learning Big Data Algorithm 52

AWS Machine Learning Blog

MARCH 15, 2024

This approach can help heart stroke patients, doctors, and researchers with faster diagnosis, enriched decision-making, and more informed, inclusive research work on stroke-related health issues, using a cloud-native approach with AWS services for lightweight lift and straightforward adoption.

ML 92

ML Data Scientist Natural Language Processing Machine Learning 92

Ofemwire

MARCH 1, 2024

Provide practical tips for optimizing subject lines, increasing open rates, and reducing unsubscribe rates. ” Health (5 prompts): KEYWORDS PROMPTS Holistic Wellness Guide : “Craft a comprehensive guide to holistic wellness, covering physical, mental, and emotional well-being.

AI 111

AI AI Natural Language Processing Explainability 111

Unite.AI

AUGUST 29, 2023

To use TinyML for speech enhancement, developers first addressed the sizing of the speech enhancement model because it was subject to hardware limitations & constraints. Finally, developers have also proposed another application to monitor the health of elderly people by estimating & analyzing their body poses.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

IBM Journey to AI blog

MAY 17, 2023

DaaS leverages IBM® Maximo® Visual Inspection and puts the power of AI computer vision into the hands of subject matter experts. In the mining industry, different activities related to health, safety and environment (along with hazards in mines) can be captured and analyzed by different models using the DaaS application.

Computer Vision 193

Computer Vision Deep Learning ML Data Analysis 193

Unite.AI

JUNE 29, 2023

This is particularly true for AI where many systems benefit from massive quantities of data or hope to use highly sensitive data (such as health data) to try to develop new understandings of our world. What are some ways that you’ve seen that machine learning has betrayed the privacy of users? Betrayed is a strong word.

Machine Learning 147

Machine Learning AI AI 147

IBM Journey to AI blog

AUGUST 8, 2023

Better compliance with environmental health and safety (EHS) regulations As the impacts of climate change are felt in more and more places around the globe, organizations are facing tighter environmental health and safety (EHS) regulations.

Artificial Intelligence 164

Artificial Intelligence Artificial Intelligence AI AI 164

Google Research AI blog

JULY 20, 2023

Because societal contexts by nature are dynamic, complex, non-linear, contested, subjective, and highly qualitative, they are challenging to translate into the quantitative representations, methods, and practices that dominate standard machine learning (ML) approaches and responsible AI product development practices.

Responsible AI 81

Responsible AI AI AI Algorithm 81

IBM Journey to AI blog

JULY 6, 2023

A comprehensive solution for event and incident management IBM AIOps Insights is an AIOps platform that offers ITOps teams a comprehensive view of their managed IT environment, encompassing resource, operational and health status.

Automation 133

Automation Artificial Intelligence Artificial Intelligence AI 133

Marktechpost

AUGUST 5, 2023

This group included researchers from King’s College London, the National Institute of Mental Health, The University of Edinburgh, the University of Basel, Korea Advanced Institute of Science & Technology, NVIDIA, Stanford University, Icahn School of Medicine at Mount Sinai, and University College London.

AI Researcher 98

AI Researcher AI Research Artificial Intelligence Artificial Intelligence 98

Ehud Reiter

FEBRUARY 27, 2023

I’m personally excited about researching better ways to communicate health information to patients, including effectively communicating complex probabilities and probabilistic reasoning, making health chatbots sensitive to user’s emotional and stress state, and helping patients interact with clinical staff.

NLP 100

NLP Large Language Models OpenAI Chatbots 100

AssemblyAI

APRIL 8, 2024

It includes sentiment analysis, topic detection, and content moderation, offering a comprehensive understanding of the emotional tone, subjects discussed, and content etiquette in voice data. Encounters with problematic callers can take a toll on staff morale and mental health.

AI 147

AI AI Large Language Models Actionable Intelligence 147

Unite.AI

JUNE 2, 2023

HIPAA (Health Insurance Portability and Accountability Act) – a U.S. For instance, GDPR has set a fine of €20 million or 4% of annual profit for serious infringements such as unlawful data processing, unproven data consent, violation of data subjects’ rights, or non-protected data transfer to an international entity.

Responsible AI 231

Responsible AI AI AI AI Developer 231

NVIDIA

JUNE 22, 2023

caring for those suffering from delirium costs up to $64,000 a year per patient, according to the National Institutes of Health. Presently, screening ICU patients involves a subjective bedside assessment. In the U.S.,

Deep Learning 80

Deep Learning Natural Language Processing AI AI 80

IBM Journey to AI blog

JANUARY 10, 2024

Healthcare: enabling health tech while keeping patient data private In the healthcare industry, the protection of sensitive patient data is paramount. By mitigating attack vectors through security-rich containers, Confidential Containers ensure the integrity of AI models, enhancing trust in AI applications.

AI Modeling 180

AI Modeling Data Integration Machine Learning LLM 180

Marktechpost

NOVEMBER 14, 2023

Electronic health records, clinical notes, medical text mining, and medical conversations are a few examples. Their ultimate objectives are to promote subject variety in the produced text and close the gap between synthetic and ground-truth data.

NLP 118

NLP LLM AI Modeling Large Language Models 118

ODSC - Open Data Science

APRIL 26, 2023

Patient health records analysis It is no secret that the bane of the medical profession is paperwork, especially paperwork related to patient health. Multiple doctors, clinics, networks, and more make putting together a complete and accurate record of a patient’s health history a costly and time-consuming process.

Natural Language Processing 52

Natural Language Processing Algorithm NLP Machine Learning 52