Image classification models perform more accurately in white patients than in Black patients, but foundation models may help close these health equity gaps.

HealthITAnalytics

25.04.2024

Computational models forecast pediatric heart valve leakage

New computational models simulate heart valve shape, possible weak spots, and blood flow to help predict potential issues and guide surgery-based preventive efforts.

HealthITAnalytics

23.04.2024

Machine learning approach predicts heart failure outcome risk

A machine learning tool accurately forecasts risk of adverse outcomes in patients with advanced heart failure with reduced ejection fraction across five categories.

HealthITAnalytics

19.04.2024

Artificial intelligence tools improve skin cancer diagnostic accuracy

A Stanford Medicine-led meta-analysis revealed that artificial intelligence algorithms can help healthcare practitioners diagnose skin cancers more accurately.

HealthITAnalytics

13.04.2024

Deep learning tool may reduce false-positives in screening mammography

A deep learning model accurately identified false positive screening mammograms, significantly reducing diagnostic callbacks and unnecessary biopsies.

HealthITAnalytics

09.04.2024

Machine learning predicts hospitalization during cancer treatment

Machine learning models using daily step counts and other wearable data accurately predicted unplanned hospitalization during concurrent chemoradiotherapy.

HealthITAnalytics

06.04.2024

Clinical deterioration AI contributes to reduced care escalation risk

An AI-driven clinical deterioration intervention was associated with a 10.4 percent reduction in the risk of escalations of care during hospitalization.

HealthITAnalytics

03.04.2024

Machine learning approach may help tailor precision medicine treatments

New machine learning tool uses data on individualized molecular interactions to predict how a patient’s immune system will respond to foreign cells.

HealthITAnalytics

02.04.2024

NIH funding development of AI tools for health disparity research

The “Trustworthy AI to Address Health Disparities in Under-resourced Communities,” project is set to enhance the explainability of AI-driven risk prediction models.

HealthITAnalytics

29.03.2024

Online big data dashboard to help map enteric infectious diseases

The Planetary Child Health & Enterics Observatory dashboard aims to shed light on the global public health threat of diarrheal diseases in children.

HealthITAnalytics

27.03.2024

Deep learning model detects COVID-19 infection using lung imaging

A deep neural network-based automated detection tool could assist emergency room clinicians in diagnosing COVID-19 effectively using lung ultrasound images.

HealthITAnalytics

23.03.2024

Machine learning predicts perioperative peripheral artery disease risk

Machine learning models accurately forecasted one-year major adverse outcomes following endovascular intervention for peripheral artery disease.

HealthITAnalytics

22.03.2024

Artificial intelligence unpredictably impacts radiologist performance

AI improves performance for some radiologists, but not others, raising questions about a one-size-fits-all integration approach for the tools in healthcare.

HealthITAnalytics

21.03.2024

Healthcare orgs face significant data modernization challenges

Healthcare organizations report an average 124% ROI for their data investments, but many cite data management and integration as major roadblocks.

HealthITAnalytics

15.03.2024

Predictive tool use has little effect on knee surgery decision-making

The use of a predictive tool designed to forecast outcomes of total knee arthroplasty did not significantly alter patients’ willingness for surgery.

HealthITAnalytics

14.03.2024

Deep learning tool predicts brain metastasis in lung cancer patients

A new deep learning approach utilizes histopathology images to forecast whether a patient’s lung cancer will eventually spread to the brain.

HealthITAnalytics

12.03.2024

Mount Sinai to develop sleep apnea outcome risk prediction models

A $3 million NIH grant will help researchers develop and study machine learning models to predict risk for cardiovascular disease in sleep apnea patients.

HealthITAnalytics

08.03.2024

Artificial Intelligence Method Enables Data Mining from Pathology Reports

The Cancer Genome Atlas (TCGA)-Reports, a set of 10,000 machine-readable pathology reports, may bolster large language model applications in oncology research.

HealthITAnalytics

06.03.2024

Machine Learning Predicts Cancer Risk in Liver Disease Patients

Machine learning can forecast which metabolic dysfunction-associated steatotic liver disease patients are likely to be diagnosed with liver cancer in the future.

HealthITAnalytics

05.03.2024

AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

An artificial intelligence-driven smartphone app may help diagnose childhood ear infections and guide appropriate antibiotic treatment.

HealthITAnalytics

01.03.2024

Machine Learning Models Predict Mortality Among Dementia Patients

New machine learning tools accurately predicted patient mortality at one, five, three, and 10 years across eight dementia subtypes.

HealthITAnalytics

28.02.2024

NLP Framework Could Improve Medical Summarization Tools

Researchers have developed a framework to fine-tune the natural language processing models used in medical text summarization tools.

HealthITAnalytics

24.02.2024

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

Mount Sinai researchers revealed that the large language model GPT-4 can match, and even outperform, human specialists in managing glaucoma or retina disease.

HealthITAnalytics

22.02.2024

Hartford HealthCare Launches Center for AI Innovation

Hartford HealthCare’s Center for AI Innovation will support the research and development of artificial intelligence technologies to improve patient care.

HealthITAnalytics

17.02.2024

Auditing Framework Provides Insights into ‘Black Box’ Medical AI

‘Black box’ AI models pose a challenge for healthcare applications, but a new framework may help users understand the tools’ decision-making processes.

HealthITAnalytics

15.02.2024

AI Chatbots Provide Inconsistent Musculoskeletal Health Information

Multiple studies indicate that ChatGPT, Google Bard, and BingAI demonstrate limited accuracy when presenting information about orthopedic procedures.

HealthITAnalytics

13.02.2024

$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

Mount Sinai researchers will use a $4 million NIH grant to investigate how artificial intelligence could advance outcome prediction for patients with sleep apnea.

HealthITAnalytics

09.02.2024

AI Provides Personalized Treatment Strategies for Esophageal Cancer

New pharmacokinetic model recommends personalized treatment by analyzing differences among the signaling pathways in esophageal cancer.

HealthITAnalytics

08.02.2024

Machine Learning Identifies Drug Candidates for Cardiac Fibrosis

Mechanistic machine learning tools can provide insights into how different drug candidates could minimize harmful scarring following a heart attack.

HealthITAnalytics

03.02.2024

Predictive Model Accurately Tracks Alzheimer’s Disease Progression

The DETree framework combines Alzheimer’s progression modeling with individual prediction to forecast how a patient’s disease may develop over time.

HealthITAnalytics

31.01.2024

Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

Researchers leveraging a machine learning-based “fragmentomics” approach may be able to detect cancer sooner using smaller blood samples than traditional methods.

HealthITAnalytics

30.01.2024

Data Augmentation May Improve LLM Generalization on Clinical Notes

Using large language models in a healthcare domain-informed manner could address dataset shifts and enhance generalizability in AI-driven medical note analysis.

HealthITAnalytics

26.01.2024

ML Model Predicts Complications Following Cardiovascular Interventions

A machine learning model outperformed standard tools for predicting death and other serious complications in patients undergoing percutaneous coronary intervention.

HealthITAnalytics

24.01.2024

UCLA Releases Public-Access Surgical Outcomes Database for AI Training

The new Medical Informatics Operating Room Vitals and Events Repository is set to advance the development of AI algorithms to predict surgical outcomes.

HealthITAnalytics

19.01.2024

AI-Driven Eye Exams May Increase Screening Rates Among Diabetic Youth

Diabetic eye exams that leverage artificial intelligence may increase exam completion rates and improve patient outcomes among children and adolescents.

HealthITAnalytics

18.01.2024

Deep Learning Tool May Help Detect Pediatric Rheumatic Heart Disease

A new deep learning model can detect rheumatic heart disease in children with high accuracy, which could improve screening in areas lacking cardiologists.

HealthITAnalytics

11.01.2024

Risk Prediction Model Forecasts Intensive Care Unit Admission, Survival

A population-level risk model may help researchers and clinicians better flag patients at risk of intensive care unit admission and adverse outcomes.

HealthITAnalytics

10.01.2024

AI-Driven ECG Analysis Accurately Predicts Right-Side Heart Issues

A deep learning-based electrocardiogram model may enhance clinical evaluations of the heart’s right ventricle, providing a potential alternative to complex imaging.

HealthITAnalytics

20.12.2023

Deep Learning Model Predicts Mortality Following Medical Procedures

Patients classified as high risk for postoperative mortality by a new deep learning tool were nearly nine times more likely to die than their low-risk counterparts.

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HealthITAnalytics - Health

Machine learning reveals link between metabolites and Alzheimer’s

Self-supervised foundation models mitigate bias in histopathology AI

Computational models forecast pediatric heart valve leakage

Machine learning approach predicts heart failure outcome risk

Artificial intelligence tools improve skin cancer diagnostic accuracy

Deep learning tool may reduce false-positives in screening mammography

Machine learning predicts hospitalization during cancer treatment

Clinical deterioration AI contributes to reduced care escalation risk

Machine learning approach may help tailor precision medicine treatments

NIH funding development of AI tools for health disparity research

Online big data dashboard to help map enteric infectious diseases

Deep learning model detects COVID-19 infection using lung imaging

Machine learning predicts perioperative peripheral artery disease risk

Artificial intelligence unpredictably impacts radiologist performance

Healthcare orgs face significant data modernization challenges

Predictive tool use has little effect on knee surgery decision-making

Deep learning tool predicts brain metastasis in lung cancer patients

Mount Sinai to develop sleep apnea outcome risk prediction models

Artificial Intelligence Method Enables Data Mining from Pathology Reports

Machine Learning Predicts Cancer Risk in Liver Disease Patients

AI Smartphone Tool Accurately Diagnoses Pediatric Ear Infections

Machine Learning Models Predict Mortality Among Dementia Patients

NLP Framework Could Improve Medical Summarization Tools

GPT-4 Matches Ophthalmologists in Glaucoma, Retina Management

Hartford HealthCare Launches Center for AI Innovation

Auditing Framework Provides Insights into ‘Black Box’ Medical AI

AI Chatbots Provide Inconsistent Musculoskeletal Health Information

$4M Grant to Fund Development of Sleep Apnea Outcome Prediction Tools

AI Provides Personalized Treatment Strategies for Esophageal Cancer

Machine Learning Identifies Drug Candidates for Cardiac Fibrosis

Predictive Model Accurately Tracks Alzheimer’s Disease Progression

Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

Data Augmentation May Improve LLM Generalization on Clinical Notes

ML Model Predicts Complications Following Cardiovascular Interventions

UCLA Releases Public-Access Surgical Outcomes Database for AI Training

AI-Driven Eye Exams May Increase Screening Rates Among Diabetic Youth

Deep Learning Tool May Help Detect Pediatric Rheumatic Heart Disease

Risk Prediction Model Forecasts Intensive Care Unit Admission, Survival

AI-Driven ECG Analysis Accurately Predicts Right-Side Heart Issues

Deep Learning Model Predicts Mortality Following Medical Procedures

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