Healthcare: Research in Generative AI Use Cases and Risks
Participants
- TBA - Cleveland Clinic
- TBA - Technical University of Munich (TUM)
- Victor Bian and Zhou Li - HydroX AI
- Please join us!!
Recent Relevant Material
| Country | Title | Type | Abstract | Source | Note |
|---|---|---|---|---|---|
| International | Generative AI in Healthcare: Opportunities and Challenges | Article | This article explores the potential of generative AI in healthcare, highlighting key opportunities and challenges. | Healthcare AI Journal | Discusses both opportunities and challenges in healthcare applications. |
| International | AI-driven Drug Discovery using Generative Models | Research Paper | This research paper discusses the application of generative models in drug discovery, focusing on recent advancements and future directions. | Journal of Medical AI | Focuses on drug discovery using generative models. |
| International | GenAI for Personalized Healthcare | Research Paper | This paper examines how generative AI can be used to personalize healthcare, enhancing patient outcomes. | IEEE Transactions on Healthcare Informatics | Highlights personalized healthcare applications. |
| International | Automating Medical Imaging Analysis with GenAI | Article | This article reviews the use of generative AI in automating the analysis of medical images, improving diagnostic accuracy. | Medical Imaging Insights | Reviews automation in medical imaging analysis. |
| International | Generative Adversarial Networks for Healthcare Data Synthesis | Research Paper | This research paper explores the use of generative adversarial networks (GANs) for synthesizing healthcare data, addressing data scarcity issues. | Journal of Healthcare Data Science | Addresses data synthesis and scarcity issues. |
| International | GenAI in Predictive Healthcare Analytics | Article | This article highlights the role of generative AI in predictive healthcare analytics, improving disease prediction and management. | Healthcare Analytics Review | Covers predictive analytics applications in healthcare. |
| International | AI for Early Disease Detection | Research Paper | This research paper investigates the use of AI for early disease detection, showcasing case studies and methodologies. | Early Disease Detection Journal | Showcases early disease detection methodologies. |
| International | Synthetic Health Data Generation using GANs | Research Paper | This paper discusses the generation of synthetic health data using GANs to improve data availability for research. | Journal of Synthetic Health Data | Improves data availability for research using synthetic health data. |
| International | AI in Genomics and Precision Medicine | Article | This article reviews the applications of AI in genomics and precision medicine, focusing on personalized treatment. | Genomics and Precision Medicine Insights | Focuses on genomics and precision medicine applications. |
| International | Generative Models for Clinical Data Augmentation | Research Paper | This research paper explores the use of generative models for augmenting clinical data, enhancing research and training. | Clinical Data Augmentation Journal | Enhances research and training with augmented clinical data. |
| International | AI-enhanced Medical Research | Article | This article discusses the enhancement of medical research through AI, highlighting significant advancements and potential. | Medical Research AI Review | Highlights advancements in medical research through AI. |
| International | Personalized Treatment Plans with GenAI | Research Paper | This research paper examines the creation of personalized treatment plans using generative AI, improving patient care. | Personalized Healthcare Journal | Improves patient care with personalized treatment plans. |
| International | AI in Radiology: Transforming Diagnostic Imaging | Article | This article reviews the transformation of diagnostic imaging in radiology through AI, enhancing accuracy and efficiency. | Radiology AI Insights | Enhances diagnostic imaging accuracy and efficiency. |
| International | Deep Learning in Medical Image Synthesis | Research Paper | This research paper explores the synthesis of medical images using deep learning techniques, addressing data limitations. | Medical Image Synthesis Journal | Addresses data limitations with medical image synthesis. |
| International | GenAI for Enhancing Telemedicine | Article | This article highlights the role of generative AI in enhancing telemedicine, improving patient-doctor interactions. | Telemedicine Enhancements Journal | Improves telemedicine interactions with generative AI. |
| International | AI in Pathology: Automating Tissue Analysis | Research Paper | This research paper discusses the automation of tissue analysis in pathology using AI, enhancing diagnostic precision. | Pathology AI Review | Enhances diagnostic precision in pathology. |
| International | Generative AI for Health Monitoring | Article | This article explores the use of generative AI for health monitoring, focusing on wearable technology and real-time data. | Health Monitoring Journal | Focuses on real-time health monitoring with wearable technology. |
| International | AI and Robotics in Surgery | Research Paper | This research paper investigates the integration of AI and robotics in surgery, improving precision and outcomes. | Surgical AI Review | Improves surgical precision and outcomes with AI and robotics. |
| International | Natural Language Processing in Healthcare | Article | This article reviews the applications of natural language processing (NLP) in healthcare, enhancing data analysis and patient care. | Healthcare NLP Journal | Enhances data analysis and patient care with NLP. |
| International | HealthcareAI | GitHub Repository | A repository for AI tools designed for healthcare applications, including patient data analysis and predictive modeling. | GitHub - HealthcareAI | Includes various AI tools for healthcare applications. |
| International | MedicalGPT | GitHub Repository | An AI model designed to assist healthcare professionals with medical research and diagnostics. | GitHub - MedicalGPT | Focused on medical research and diagnostics. |
| International | HealthDataGenAI | GitHub Repository | A repository focused on generating synthetic healthcare data using AI. | GitHub - HealthDataGenAI | Tools for generating synthetic healthcare data. |
| International | MedImageAI | GitHub Repository | AI tools for automating the analysis of medical images, enhancing diagnostic accuracy. | GitHub - MedImageAI | Automates medical image analysis. |
| International | HealthBot | GitHub Repository | An AI chatbot designed for providing health information and patient support. | GitHub - HealthBot | Provides health information and support through an AI chatbot. |
| International | PatientCareAI | GitHub Repository | AI models for improving patient care and treatment planning. | GitHub - PatientCareAI | Improves patient care and treatment planning. |
| International | DrugDiscoveryGenAI | GitHub Repository | AI tools for accelerating drug discovery and development. | GitHub - DrugDiscoveryGenAI | Accelerates drug discovery processes. |
| International | GenomicAI | GitHub Repository | AI applications in genomics and precision medicine. | GitHub - GenomicAI | Applications in genomics and precision medicine. |
| International | HealthNLP | GitHub Repository | Natural language processing tools tailored for healthcare texts and records. | GitHub - HealthNLP | NLP tools for processing healthcare texts. |
| International | TeleHealthAI | GitHub Repository | AI solutions for enhancing telehealth services and remote patient monitoring. | GitHub - TeleHealthAI | Enhances telehealth services with AI. |
Benchmark of GenAI in Healthcare
| Data | Task | Test | Evaluation | License |
|---|---|---|---|---|
| MedicalEval | patient data analysis, predictive modeling | comprehensive healthcare tasks | accuracy, efficiency, prediction | MedicalEval.org |
| HealthBench | healthcare research, diagnostics | research and diagnostics tasks | accuracy, thoroughness | HealthBench.org |
| GenomicBERT Benchmark | genomic data analysis, prediction | genomic data evaluation | performance on genomic tasks | Hugging Face |
| MedImageEval | medical image analysis | image analysis tasks | image analysis accuracy | MedImageEval.org |
| ClinicalTrialAI | clinical trial analysis, predictive modeling | clinical trial tasks | prediction accuracy | ClinicalTrialAI.org |
| PatientCareEval | patient care, treatment planning | care and treatment tasks | care and treatment accuracy | PatientCareEval.org |
| DrugDiscoveryBench | drug discovery, development | drug discovery tasks | discovery process efficiency | DrugDiscoveryBench.org |
| GenomicEval | genomic analysis, precision medicine | genomic analysis tasks | precision medicine accuracy | GenomicEval.org |
| HealthNLP Benchmark | NLP tasks in healthcare | NLP tasks evaluation | NLP performance | HealthNLP.org |
| MedImageEval Benchmark | medical image analysis | image analysis tasks | image analysis accuracy | MedImageEval.org |
| RadiologyEval | radiology image analysis | radiology-specific tasks | radiology image accuracy | RadiologyEval.org |
| ImageGenAI Benchmark | image generation using AI | AI-based image generation tasks | image generation quality | ImageGenAI.org |
| PathologyImageEval | pathology image analysis | pathology-specific image tasks | pathology image accuracy | PathologyImageEval.org |
| MRIImageEval | MRI image analysis | MRI-specific image tasks | MRI image accuracy | MRIImageEval.org |
| CTScanEval | CT scan analysis | CT-specific image tasks | CT scan accuracy | CTScanEval.org |
| XRayImageEval | X-ray image analysis | X-ray-specific image tasks | X-ray image accuracy | XRayImageEval.org |
| UltrasoundImageEval | ultrasound image analysis | ultrasound-specific image tasks | ultrasound image accuracy | UltrasoundImageEval.org |
| PETScanEval | PET scan analysis | PET-specific image tasks | PET scan accuracy | PETScanEval.org |
| MedicalImageSynthesisEval | medical image synthesis | image synthesis tasks | synthesis quality | MedicalImageSynthesisEval.org |
Potential and Existing Applications of GenAI in Healthcare
Generative AI (GenAI) has found extensive applications within the healthcare sector, offering transformative benefits across various domains. These applications range from enhancing clinical operations and patient care to supporting corporate functions and medical research.
Clinical Operations
GenAI is revolutionizing clinical operations by automating time-consuming tasks, such as generating post-visit summaries, transcribing spoken notes during patient exams, and workflow materials, e.g., for integrating the above data. This technology synthesizes care instructions, electronic medical records (EMRs), and dictations, which streamline the workflow for healthcare professionals. Additionally, GenAI can create personalized training programs for clinicians, develop educational materials for disease management, and generate care plans and summaries for patients.
Patient Care and Management
GenAI is also improving patient care and management by assisting with symptom checking, appointment scheduling, and medication management. It plays a crucial role in patient education and chronic disease self-management, including predictions of future treatment requirements and possible outcomes. Healthcare providers can utilize GenAI to generate custom coverage summaries (for example, translating technical jargon to understandable explanations), call scripts, and adaptive chatbot responses, which enhance service interactions for patients and providers alike.
Drug Discovery and Repurposing
In the realm of drug discovery, GenAI is instrumental in predicting the effectiveness of existing drugs against various diseases, thereby identifying novel applications for these medications. This capability significantly expedites the drug development process and opens up possibilities for drug repurposing.
Medical Imaging
Medical imaging, a critical component of modern healthcare, benefits greatly from GenAI. Automated image analysis at the pixel level provides crucial guidance for practitioners, including generation of draft reports. The technology addresses challenges related to managing large and complex datasets generated by imaging modalities. It offers solutions for efficient data management and storage while tackling interoperability issues that impede seamless integration into Electronic Health Record (EHR) systems.
Documentation and Record-Keeping
Automating documentation tasks, such as claims management, transcribing medical notes and updating patient records, is another area where GenAI proves invaluable. By reducing the administrative burden on healthcare professionals, it allows them to focus more on patient care.
Marketing and Sales
GenAI also enhances marketing and sales efforts by analyzing consumer distribution, summarizing customer feedback, and improving chatbots for member servicing.It creates first-draft materials and product overviews, helping potential members understand coverage options and choose plans accordingly.
Clinical Analytics
In clinical analytics, GenAI leverages conversational language to obtain insights and uses AI-assisted coding to automate repetitive tasks. This application brings years of clinical data to a clinician’s fingertips in seconds, aiding in the rapid analysis and decision-making process.
Patient Engagement and Informed Consent
Engaging patients in discussions about AI applications in their healthcare is crucial. GenAI facilitates transparency and informed consent, ensuring that patient autonomy and privacy are respected throughout the process. This approach enhances patient engagement and trust in AI technologies.
Areas Where Further Research Is Required
- If AI is used to suggest possible diagnoses or areas for futher investigation, does this bias the practitioner in a way that other indications may be overlooked?
- Do practitions understand the limitations of AI, e.g., the probabilistic nature of output? Are they at risk of accepting AI output without healthy skepticism?