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Patient Inputs Risk Poor AI Results and Misdiagnosis

Minimize Misdiagnosis: Diagnostic AI Belongs with Doctors

By IGI Global Author Relations Team on Aug 29, 2024
a laptop with a stethascope on itRecent research from the National Institutes of Health (NIH) reveals that leading AI models struggle to accurately identify genetic conditions from patient-written descriptions. This finding highlights the limitations of AI when dealing with subjective and often incomplete patient-reported information. While these models have shown promise in various medical applications, they fall short in scenarios where nuanced human interpretation is crucial. This raises concerns about the potential for self-diagnosis through AI, which remains unlikely to improve significantly given the current state of technology.
However, when these AI tools are used by medical professionals, the potential for enhancing personalized healthcare is immense. By combining the analytical power of AI with the expertise of healthcare providers, these technologies can drive smarter, more accurate medical diagnoses, leading to better patient outcomes. To explore the ways in which AI is transforming the healthcare landscape, particularly in diagnostics, Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications (ISBN: 9798369336793) offers a comprehensive look into the advancements and applications of AI in medicine.
Cover of Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications
Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications
Profs. Alex Khang
©2024 | 314 pgs. | ISBN13: 9798369336793
Topics Covered Include:
  • Artificial Intelligence
  • Cardiovascular Diseases
  • Digital Healthcare
  • Deep Learning



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Profs. Sima Das, Ahona Ghosh, and Sriparna Saha1
“…Deep learning (DL) has numerous applications in the field of medicine and other fields. Electroencephalography (EEG), on the other hand, has successfully resolved a variety of brain activity-related medical applications. …This non-invasive technique of gathering data can be used to monitor and diagnose brain-related health issues. The various smart healthcare applications of DL are covered in this chapter… This will help future researchers by providing a comprehensive understanding of the relevant field.”

-Profs. Sima Das, Ahona Ghosh, and Sriparna Saha, Authors of Chapter 11 of Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications
Cover of AI-Driven Alzheimer's Disease Detection and Prediction
AI-Driven Alzheimer's Disease Detection and Prediction
Profs. Umesh Kumar Lilhore, Abhineet Anand, Abhishek Kumar, et. al.
©2024 | 483 pgs. | ISBN13: 9798369336052
Topics Covered Include:
  • Alzheimer's Disease
  • Data Collection
  • Genetic Risk Factors
  • Patient-Centered Solutions



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Cover of Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases
Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases
Profs. Raul Villamarin Rodriguez, Hemachandran Kannan, and Revathi T.
©2024 | 325 pgs. | ISBN13: 9798369312810
Topics Covered Include:
  • Disease Management
  • Early Diagnosis
  • Machine Learning
  • Parkinson's Disease



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Cover of AI-Driven Innovations in Digital Healthcare
AI-Driven Innovations in Digital Healthcare
Profs. Alex Khang
©2024 | 377 pgs. | ISBN13: 9798369332184
Topics Covered Include:
  • Artificial Intelligence Innovation in Healthcare
  • Deep Learning Techniques in Healthcare Image Segmentation
  • Disease Detection using Recurrent Neural
  • Quantum Computing in Healthcare



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Cover of Artificial Intelligence Transformations for Healthcare Applications
Artificial Intelligence Transformations for Healthcare Applications
Profs. Thangavel Murugan, Jaisingh W., and Varalakshmi P.
©2024 | 423 pgs. | ISBN13: 9798369374627
Topics Covered Include:
  • Artificial Intelligence
  • Chronic Disease
  • Hybrid Intelligent Diagnosis
  • Personalized Healthcare



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Cover of AI Applications for Disease Diagnosis and Treatment
AI Applications for Disease Diagnosis and Treatment
Profs. Rajae El Ouazzani, Mohammed Fattah, and Nabil Benamar
©2022 | 332 pgs. | ISBN13: 9781668423042
Topics Covered Include:
  • Artificial Intelligence
  • Disease Detection
  • Medical Screening
  • Neuroinformatics



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Cover of Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder
Artificial Intelligence for Accurate Analysis and Detection of Autism Spectrum Disorder
Profs. Sandeep Kautish and Gaurav Dhiman
©2021 | 224 pgs. | ISBN13: 9781799874607
Topics Covered Include:
  • AI-Aided Diagnosis Methods
  • Autism Spectrum Disorder
  • Medical Imaging
  • Predictive Analysis for ASD



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Cover of Intelligent Technologies and Parkinson’s Disease
Intelligent Technologies and Parkinson’s Disease
Profs. Abhishek Kumar, Sachin Ahuja, Anupam Baliyan, Sreenatha Annawati et. al.
©2024 | 390 pgs. | ISBN13: 9798369311158
Topics Covered Include:
  • Accurate Diagnosis
  • Brain Imaging Data
  • Early Detection of Diseases
  • Neurodegenerative Disorders



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Cover of Intelligent Solutions for Cognitive Disorders
Intelligent Solutions for Cognitive Disorders
Profs. Dipti Jadhav, Pallavi Vijay Chavan, Sangita Chaudhari, Idongesit Williams et. al.
©2024 | 411 pgs. | ISBN13: 9798369310908
Topics Covered Include:
  • Alzheimer's Disease
  • Early Diagnosis
  • Machine Learning
  • Wearable Devices



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Cover of Handbook of Research on Mathematical Modeling for Smart Healthcare Systems
Handbook of Research on Mathematical Modeling for Smart Healthcare Systems
Profs. Debabrata Samanta and Debabrata Singh
©2022 | 503 pgs. | ISBN13: 9781668445808
Topics Covered Include:
  • Artificial Intelligence
  • Chronic Diseases
  • Gene Expression
  • Medical Information Modeling



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About IGI Global – Publishing Tomorrow’s Research Today
Founded in 1988 and headquartered in Hershey, Pennsylvania, USA with a subsidiary office (IGI Science and Technology, Ltd.) in Beijing, China, IGI Global is a rapidly growing, mid-sized, independent international academic publisher dedicated to releasing high-quality, peer-reviewed scholarly research publications in the three major academic subject areas of Business & Management, Science, Technology, & Medicine (STM), and Education & Social Science. Our commitment is to advance the discovery of pioneering scientific research promptly through swift and agile processes, with books released in approximately 6-9 months from start to finish. With more than 200,000 research collaborations with experts from leading institutions around the world, IGI Global anticipates publishing over 1,000 books in 2025, positioning our publishing output among the industry’s giants with centuries of history. Our Open Access Journal Program includes nearly 200 fully open access journals, making IGI Global one of the largest 100% open access journal publishers in the world. Through traditional book publishing and open access options, IGI Global strives to bring cutting-edge research at the pace of innovation, ensuring that tomorrow’s research is published today.
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