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Artificial intelligence for digital healthcare in the low and medium income countries
Artificial intelligence for digital healthcare in the low and medium income countries
Artificial intelligence (AI)/machine learning has recently been incorporated into the rapidly evolving healthcare technolo...
Analysis of Retinal Thickness in Patients With Chronic Diseases Using Standardized Optical Coherence Tomography Data: Database Study Based on the Radiology Common Data Model
Analysis of Retinal Thickness in Patients With Chronic Diseases Using Standardized Optical Coherence Tomography Data: Database Study Based on the Radiology Common Data Model
Background: The Observational Medical Outcome Partners - Common Data Model (OMOP-CDM) is an international standard for har...
SBDH-Reader: an LLM-powered method for extracting social and behavioral determinants of health from medical notes
SBDH-Reader: an LLM-powered method for extracting social and behavioral determinants of health from medical notes
medRxiv - The Preprint Server for Health Sciences
Discovering Signature Disease Trajectories in Pancreatic Cancer and Soft-tissue Sarcoma from Longitudinal Patient Records
Discovering Signature Disease Trajectories in Pancreatic Cancer and Soft-tissue Sarcoma from Longitudinal Patient Records
medRxiv - The Preprint Server for Health Sciences
Open-Source Retrieval Augmented Generation Framework for Retrieving Accurate Medication Insights from Formularies for African Healthcare Workers
Open-Source Retrieval Augmented Generation Framework for Retrieving Accurate Medication Insights from Formularies for African Healthcare Workers
medRxiv - The Preprint Server for Health Sciences
Fusion of magnet resonance imaging and electronic health records promotes the multimodal prediction of postoperative delirium
Fusion of magnet resonance imaging and electronic health records promotes the multimodal prediction of postoperative delirium
medRxiv - The Preprint Server for Health Sciences
Collaborative intelligence in AI: Evaluating the performance of a council of AIs on the USMLE
Collaborative intelligence in AI: Evaluating the performance of a council of AIs on the USMLE
medRxiv - The Preprint Server for Health Sciences
Hazard-aware adaptations bridge the generalization gap in large language models: a nationwide study
Hazard-aware adaptations bridge the generalization gap in large language models: a nationwide study
medRxiv - The Preprint Server for Health Sciences
COVID-19 Vaccination Data Management and Visualization Systems for Improved Decision-Making: Lessons Learnt from Africa CDC Saving Lives and Livelihoods Program
COVID-19 Vaccination Data Management and Visualization Systems for Improved Decision-Making: Lessons Learnt from Africa CDC Saving Lives and Livelihoods Program
medRxiv - The Preprint Server for Health Sciences
Dynamic Prediction of Mortality Risk Following Allogeneic Hematopoietic Stem Cell Transplantation
Dynamic Prediction of Mortality Risk Following Allogeneic Hematopoietic Stem Cell Transplantation
medRxiv - The Preprint Server for Health Sciences
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization
Segmentation and severity classification of scar tissues in LGE-CMR images using HDResC-Net with Flamingo gannet search optimization
Late gadolinium enhanced-cardiac magnetic resonance (LGE-CMR) images play a critical role in evaluating cardiac pathology,...
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
The advent of Digital Twins DTs in healthcare signifies a paradigm shift toward precision medicine, driven by the escalati...
Systematic Bias in Clinical Decision Instrument Development: A Quantitative Meta-Analysis
Systematic Bias in Clinical Decision Instrument Development: A Quantitative Meta-Analysis
medRxiv - The Preprint Server for Health Sciences
Mission imputable: Effects of missing data processing on infectious disease detection and prognosis
Mission imputable: Effects of missing data processing on infectious disease detection and prognosis
medRxiv - The Preprint Server for Health Sciences
YeZzzs Does it: Studying Sleep and Emotion using the Digital Rest-Activity Rhythms of Kanye West's Tweets
YeZzzs Does it: Studying Sleep and Emotion using the Digital Rest-Activity Rhythms of Kanye West's Tweets
medRxiv - The Preprint Server for Health Sciences
Exploring Nursing Students’ Experiences of Empathy and User Experiences in an Immersive Virtual Reality Simulation Game: Cross-Sectional Study
Exploring Nursing Students’ Experiences of Empathy and User Experiences in an Immersive Virtual Reality Simulation Game: Cross-Sectional Study
Background: Empathy is associated with better clinical outcomes and patient-care experiences, and it has been demonstrated...
Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study
Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study
Background: Upper extremity hemiparesis is a common and debilitating impairment after stroke, severely restricting stroke ...
Improving Pediatric Patients’ Magnetic Resonance Imaging Experience With an In-Bore Solution: Design and Usability Study
Improving Pediatric Patients’ Magnetic Resonance Imaging Experience With an In-Bore Solution: Design and Usability Study
Background: Annually, millions of children undergo a magnetic resonance imaging (MRI) examination. Hospitals increasingly ...
Enhancing Immersion in Virtual Reality–Based Advanced Life Support Training: Randomized Controlled Trial
Enhancing Immersion in Virtual Reality–Based Advanced Life Support Training: Randomized Controlled Trial
Background: Serious game–based training modules are pivotal for simulation-based health care training. With advancements i...
Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study
Exergame (ExerG)-Based Physical-Cognitive Training for Rehabilitation in Adults With Motor and Balance Impairments: Usability Study
Background: Exergames are increasingly used in rehabilitation, yet their usability and user experience for patients and th...
Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study
Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study
Background: Informed consent forms (ICFs) for clinical trials have become increasingly complex, often hindering participan...
A Risk Warning Model for Anemia Based on Facial Visible Light Reflectance Spectroscopy: Cross-Sectional Study
A Risk Warning Model for Anemia Based on Facial Visible Light Reflectance Spectroscopy: Cross-Sectional Study
Background: Anemia is a global public health issue causing symptoms such as fatigue, weakness, and cognitive decline. Furt...
Probing Large Language Model Hidden States for Adverse Drug Reaction Knowledge
Probing Large Language Model Hidden States for Adverse Drug Reaction Knowledge
medRxiv - The Preprint Server for Health Sciences
Data-Driven Insights on Opioid Use and Health Behavior Trends Following Decriminalization: Zero-Shot Sentiment and Behavior Analysis
Data-Driven Insights on Opioid Use and Health Behavior Trends Following Decriminalization: Zero-Shot Sentiment and Behavior Analysis
medRxiv - The Preprint Server for Health Sciences
Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors
Machine learning models predict long COVID outcomes based on baseline clinical and immunologic factors
medRxiv - The Preprint Server for Health Sciences
A Machine-Learning Approach to Finding Gene Target Treatment Options for Long COVID
A Machine-Learning Approach to Finding Gene Target Treatment Options for Long COVID
medRxiv - The Preprint Server for Health Sciences
Performance Assessment of Large Language Models in Medical Consultation: Comparative Study
Performance Assessment of Large Language Models in Medical Consultation: Comparative Study
Background: The recent introduction of generative artificial intelligence (AI) as an interactive consultant has sparked in...
Do Language Models Think Like Doctors?
Do Language Models Think Like Doctors?
medRxiv - The Preprint Server for Health Sciences
Self-reported and tracker-estimated physical activity outcomes in women with chronic pelvic pain disorders: A longitudinal evaluation of construct validity
Self-reported and tracker-estimated physical activity outcomes in women with chronic pelvic pain disorders: A longitudinal evaluation of construct validity
medRxiv - The Preprint Server for Health Sciences
Phenotyping Adolescent Endometriosis: Characterizing Symptom Heterogeneity Through Note- and Patient-Level Clustering
Phenotyping Adolescent Endometriosis: Characterizing Symptom Heterogeneity Through Note- and Patient-Level Clustering
medRxiv - The Preprint Server for Health Sciences
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