[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-439905-105":59,"doc-detail-439905-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","ai-for-precision-epilepsy-asm-response-prediction-needs-real-world-validation","AI for precision epilepsy: ASM response prediction needs real-world validation","","Letter to the Editor discussing Dravet syndrome and the urgent need to validate artificial intelligence models for predicting antiseizure medication (ASM) response in real-world clinical settings. It explains the biological basis, severity, and mortality burden of DS, then highlights that existing machine-learning evidence relies heavily on small retrospective datasets. The letter warns about translational gaps, clinical risks, and loss of trust if models are deployed without prospective validation, and calls for randomized controlled trials measuring patient-important outcomes.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/ai-for-precision-epilepsy-asm-response-prediction-needs-real-world-validation/439905/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/ai-for-precision-epilepsy-asm-response-prediction-needs-real-world-validation/439905.png","ImageObject",300,407,{"name":92,"@type":93},"Grenda","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the letter address regarding AI in Dravet syndrome?","Question",{"text":112,"@type":113},"It addresses that AI models predicting ASM response are validated mainly on small, retrospective, carefully selected datasets rather than on real-world practice, creating a translational gap.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Why is prospective validation considered essential?",{"text":117,"@type":113},"Because high model accuracy on past data does not guarantee safe, effective benefit at the bedside; an ineffective or poorly calibrated model could lead to failed treatment and severe outcomes.",{"name":119,"@type":110,"acceptedAnswer":120},"What study design does the letter recommend to evaluate AI-assisted ASM selection?",{"text":121,"@type":113},"The letter calls for randomized controlled trials where patients are prospectively randomized to AI-driven versus conventional-care ASM selection, with meaningful patient-important endpoints.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},439905,1791046250,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":24,"preview_page_count":4},7971474921005,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Letter to the Editor  \nAI for precision epilepsy: ASM response prediction needs real-world validation  \nAreeba Naveed, MBBSa , Hamza Sajid, MBBSa , Noor Un Nisa Irshad, MBBSb , Sakan Binte Imran, MBBSc ,*  \nTo the Editor,  \nDravet syndrome (DS) is a serious developmental and epileptic encephalopathy that begins in infants who were born healthy. It represents a subset of severe epilepsies with recurring, difficult-to-treat seizures, and severe developmental delays. The most frightening part of DS is the high risk of sudden unexpected deaths in epilepsy [1] . This disorder is primarily caused by a mutation in the sodium channel gene SCN1A. Seizures usually occur between 2 and 15 months of age and are often induced by fever. Seizures in DS are frequently prolonged and are not well managed by current medications.  \nThis condition is rare, affecting 1 in every 15 000 to 40 000 babies. Unfortunately, about 20–25% of patients do not survive into adulthood. Combined with deaths due to status epilepticus and other complications, the cumulative mortality rate emphasizes the imperative, unmet demand for successful therapeutic approaches. Treatment response heterogeneity is extreme, resulting in families reliving a long, traumatic series of trials of antiseizure medication (ASM) with limited efficacy and often debilitating side effects.  \nUnder these high-stakes clinical conditions, artificial intelligence (AI) offers a beacon of hope. Evidential studies have shown that machine learning models can predict a person’s ASM response, opening the way for a precision medicine approach that could bring closure to the therapeutic odyssey for these children[2] . The central concept is that machine learning models can analyze complex, multidimensional patient data such as genetic subtypes, neuroimaging findings, and past responses to therapy. This is the epitome of precision medicine, and it promises to enable clinicians to bypass years of unproductive and detrimental polypharmacy. Early evidence-based studies are promising, e.g., a machine learning model retrospectively predicted medication response with 87.5% accuracy for  \naDepartment of Medicine, Allama Iqbal Medical College, Lahore, Pakistan, bDepartment of Medicine, Jinnah Sindh Medical University, Karachi, Pakistan and cDepartment of Medicine, Sir Salimullah Medical College, Dhaka, Bangladesh Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.  \n*Corresponding author. Address: Department of Medicine, Sir Salimullah Medical  \nCollege, Dhaka 1100, [Bangladesh. E-mail: sakanbinteimran.ssmc@gmail.com](Bangladesh. E-mail: sakanbinteimran.ssmc@gmail.com)  \n(S.B. Imran).  \nCopyright © 2025 The Author(s). Published by Wolters Kluwer Health, Inc. This isan open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.  \nAnnals of Medicine & Surgery (2026) 88:1076–1077  \nReceived 10 November 2025; Accepted 13 November 2025  \nPublished online 25 November 2025  \n[http://dx.doi.org/10.1097/MS9.0000000000004424](http://dx.doi.org/10.1097/MS9.0000000000004424)  \nfocal epilepsy[3] . Applying this approach to DS could mitigate the ever-looming threat of mortality.  \nHowever, this promise is moderated by a critical peril. The validation of these AI models in current practice is overwhelmingly reliant on small, retrospective, and carefully selected datasets[4] . These clean datasets are scrubbed of the complexities of real-world clinical practice: polypharmacy, comorbidities, variable patient adherence, and missing data entries. This creates a perilous translational gap between algorithmic performance ina controlled research environment and reliable efficacy at the patient’s bedside[5] . Most importantly, there is a stark lack of prospective evidence to show that AI-aided ASM selection benefits actual DS","cbCainHH9ghF3zUZ","https://ap.wps.com/l/cbCainHH9ghF3zUZ","pdf",166160,"English","# Letter to the Editor\n## Background on Dravet syndrome and treatment challenges\n## Promise of AI for precision medicine\n## Validation gap and clinical risks\n## Recommendations for prospective trials\n## Conclusion","[{\"question\":\"What problem does the letter address regarding AI in Dravet syndrome?\",\"answer\":\"It addresses that AI models predicting ASM response are validated mainly on small, retrospective, carefully selected datasets rather than on real-world practice, creating a translational gap.\"},{\"question\":\"Why is prospective validation considered essential?\",\"answer\":\"Because high model accuracy on past data does not guarantee safe, effective benefit at the bedside; an ineffective or poorly calibrated model could lead to failed treatment and severe outcomes.\"},{\"question\":\"What study design does the letter recommend to evaluate AI-assisted ASM selection?\",\"answer\":\"The letter calls for randomized controlled trials where patients are prospectively randomized to AI-driven versus conventional-care ASM selection, with meaningful patient-important endpoints.\"}]","AI for precision epilepsy: ASM response prediction needs real-world validation | PDF",1790690503]