{"id":"https://openalex.org/W4412027352","doi":"https://doi.org/10.1007/s10462-025-11303-w","title":"Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles","display_name":"Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles","publication_year":2025,"publication_date":"2025-07-04","ids":{"openalex":"https://openalex.org/W4412027352","doi":"https://doi.org/10.1007/s10462-025-11303-w"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11303-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11303-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11303-w.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11303-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077644722","display_name":"Mohsen Ahmadi","orcid":"https://orcid.org/0000-0003-1550-110X"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Ahmadi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054918329","display_name":"Debojit Biswas","orcid":null},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debojit Biswas","raw_affiliation_strings":["Department of Biomedical Engineering, Florida Atlantic University, Boca Raton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Florida Atlantic University, Boca Raton, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078824344","display_name":"Maohua Lin","orcid":"https://orcid.org/0000-0002-9460-2111"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maohua Lin","raw_affiliation_strings":["Department of Biomedical Engineering, Florida Atlantic University, Boca Raton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Florida Atlantic University, Boca Raton, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017095860","display_name":"Frank D. Vrionis","orcid":"https://orcid.org/0009-0006-0259-8618"},"institutions":[{"id":"https://openalex.org/I2802769386","display_name":"Boca Raton Regional Hospital","ror":"https://ror.org/01phhgk62","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1302444339","https://openalex.org/I2802769386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank D. Vrionis","raw_affiliation_strings":["Department of Neurosurgery, Marcus Neuroscience Institute, Boca Raton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Marcus Neuroscience Institute, Boca Raton, USA","institution_ids":["https://openalex.org/I2802769386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102999974","display_name":"Javad Hashemi","orcid":"https://orcid.org/0000-0002-3242-8752"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Javad Hashemi","raw_affiliation_strings":["Department of Biomedical Engineering, Florida Atlantic University, Boca Raton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Florida Atlantic University, Boca Raton, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044185120","display_name":"Yufei Tang","orcid":"https://orcid.org/0000-0002-6915-4468"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yufei Tang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044185120"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":27.7974,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.99837366,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"58","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9282000064849854,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9280999898910522,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4717983603477478},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4147300720214844},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.41055917739868164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3941194415092468},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3585006594657898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3426613211631775},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.33306267857551575}],"concepts":[{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4717983603477478},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4147300720214844},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.41055917739868164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3941194415092468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3585006594657898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3426613211631775},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.33306267857551575},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-025-11303-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11303-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11303-w.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11303-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11303-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11303-w.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412027352.pdf","grobid_xml":"https://content.openalex.org/works/W4412027352.grobid-xml"},"referenced_works_count":146,"referenced_works":["https://openalex.org/W1574410567","https://openalex.org/W1968110820","https://openalex.org/W1992141428","https://openalex.org/W2016912578","https://openalex.org/W2052950171","https://openalex.org/W2053462040","https://openalex.org/W2075214494","https://openalex.org/W2099305408","https://openalex.org/W2117606586","https://openalex.org/W2158985775","https://openalex.org/W2413411464","https://openalex.org/W2580480204","https://openalex.org/W2731899572","https://openalex.org/W2781863422","https://openalex.org/W2784272752","https://openalex.org/W2793956967","https://openalex.org/W2800895517","https://openalex.org/W2801421470","https://openalex.org/W2807079708","https://openalex.org/W2888397986","https://openalex.org/W2899283552","https://openalex.org/W2905527144","https://openalex.org/W2910096450","https://openalex.org/W2937307539","https://openalex.org/W2946534073","https://openalex.org/W2948732750","https://openalex.org/W2959687571","https://openalex.org/W2971940059","https://openalex.org/W2973886134","https://openalex.org/W2979495041","https://openalex.org/W2995654208","https://openalex.org/W3000220657","https://openalex.org/W3003026830","https://openalex.org/W3003987610","https://openalex.org/W3005933814","https://openalex.org/W3011742849","https://openalex.org/W3014009018","https://openalex.org/W3021094251","https://openalex.org/W3024811418","https://openalex.org/W3025645353","https://openalex.org/W3025885500","https://openalex.org/W3026293753","https://openalex.org/W3027554678","https://openalex.org/W3028009715","https://openalex.org/W3030790048","https://openalex.org/W3101769997","https://openalex.org/W3137125108","https://openalex.org/W3139487912","https://openalex.org/W3160258528","https://openalex.org/W3160542139","https://openalex.org/W3163993681","https://openalex.org/W3166650482","https://openalex.org/W3177324611","https://openalex.org/W3178059138","https://openalex.org/W3197875528","https://openalex.org/W3212771327","https://openalex.org/W3213137092","https://openalex.org/W3213990473","https://openalex.org/W3216959350","https://openalex.org/W4210349282","https://openalex.org/W4210655294","https://openalex.org/W4220699563","https://openalex.org/W4220937057","https://openalex.org/W4225701842","https://openalex.org/W4225716327","https://openalex.org/W4226244456","https://openalex.org/W4281640569","https://openalex.org/W4283321413","https://openalex.org/W4290875130","https://openalex.org/W4295782861","https://openalex.org/W4298009304","https://openalex.org/W4300942166","https://openalex.org/W4308033457","https://openalex.org/W4308978381","https://openalex.org/W4309436702","https://openalex.org/W4310989095","https://openalex.org/W4311629995","https://openalex.org/W4318336230","https://openalex.org/W4319300096","https://openalex.org/W4321368939","https://openalex.org/W4322490774","https://openalex.org/W4322743280","https://openalex.org/W4360585206","https://openalex.org/W4362594575","https://openalex.org/W4362602739","https://openalex.org/W4367311312","https://openalex.org/W4377097882","https://openalex.org/W4379621875","https://openalex.org/W4379660261","https://openalex.org/W4379660284","https://openalex.org/W4380084939","https://openalex.org/W4384007163","https://openalex.org/W4384206867","https://openalex.org/W4385383119","https://openalex.org/W4385703550","https://openalex.org/W4386222752","https://openalex.org/W4386944830","https://openalex.org/W4387010351","https://openalex.org/W4387447711","https://openalex.org/W4388567905","https://openalex.org/W4389576655","https://openalex.org/W4389610680","https://openalex.org/W4390048458","https://openalex.org/W4390357426","https://openalex.org/W4391319119","https://openalex.org/W4391661490","https://openalex.org/W4391754411","https://openalex.org/W4392455053","https://openalex.org/W4393194546","https://openalex.org/W4394804911","https://openalex.org/W4394821311","https://openalex.org/W4394864374","https://openalex.org/W4394966862","https://openalex.org/W4398220530","https://openalex.org/W4399384588","https://openalex.org/W4400184938","https://openalex.org/W4400286717","https://openalex.org/W4400340432","https://openalex.org/W4400969598","https://openalex.org/W4401453237","https://openalex.org/W4401493592","https://openalex.org/W4401560450","https://openalex.org/W4401567587","https://openalex.org/W4401748555","https://openalex.org/W4401849043","https://openalex.org/W4401978246","https://openalex.org/W4402100280","https://openalex.org/W4402949449","https://openalex.org/W4403069831","https://openalex.org/W4403090479","https://openalex.org/W4403942650","https://openalex.org/W4403967442","https://openalex.org/W4404418769","https://openalex.org/W4404574990","https://openalex.org/W4404636702","https://openalex.org/W4405222113","https://openalex.org/W4405318319","https://openalex.org/W4405931970","https://openalex.org/W4406048871","https://openalex.org/W4406084794","https://openalex.org/W4406328986","https://openalex.org/W4406388045","https://openalex.org/W4407640861","https://openalex.org/W4408146723","https://openalex.org/W4409273904","https://openalex.org/W6777336434"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Medical":[0],"imaging":[1,41,103],"is":[2],"a":[3,48,100,226],"cornerstone":[4],"of":[5,36,88,94,115,139,170,179,195,220],"modern":[6],"healthcare,":[7],"enabling":[8],"precise":[9],"diagnosis,":[10],"treatment":[11],"planning,":[12],"and":[13,38,61,75,92,109,122,132,146,156,176,205,212,239],"disease":[14],"monitoring.":[15],"Traditional":[16],"machine":[17],"learning":[18,123,203],"(ML)":[19],"approaches":[20,117],"have":[21],"significantly":[22],"improved":[23,209],"medical":[24,97,231],"image":[25,142],"analysis,":[26],"yet":[27],"they":[28],"face":[29],"challenges":[30,165],"such":[31,105],"as":[32,106,225],"data":[33],"scarcity,":[34],"lack":[35],"interpretability,":[37,74],"variability":[39],"in":[40,57,96,128,152,166,242],"protocols.":[42],"Physics-Informed":[43],"Machine":[44],"Learning":[45],"(PIML)":[46],"offers":[47],"transformative":[49],"solution":[50,71],"by":[51],"integrating":[52],"fundamental":[53],"physical":[54],"laws,":[55],"usually":[56],"partial":[58],"differential":[59],"equations":[60],"boundary":[62],"conditions,":[63],"into":[64],"data-driven":[65],"ML":[66],"models.":[67],"PIML":[68,95,116,140,163,200,224],"constrains":[69],"the":[70,77,89,113,137,167,177,193,234],"space,":[72],"enhances":[73],"reduces":[76],"dependency":[78],"on":[79,102,119,141],"large,":[80],"annotated":[81],"datasets.":[82],"This":[83,185],"review":[84,186,222],"provides":[85],"an":[86],"overview":[87],"principles,":[90],"methodologies,":[91],"applications":[93],"imaging,":[98,232],"with":[99,201],"focus":[101],"modalities":[104],"MRI,":[107],"CT,":[108],"ultrasound.":[110],"We":[111],"discuss":[112],"taxonomy":[114],"based":[118],"observational,":[120],"inductive,":[121],"biases,":[124],"showing":[125],"their":[126],"roles":[127],"enhancing":[129],"model":[130],"accuracy":[131,158],"generalization.":[133],"Additionally,":[134],"we":[135],"explore":[136],"impact":[138],"reconstruction,":[143],"segmentation,":[144],"enhancement,":[145],"anomaly":[147],"detection,":[148],"demonstrating":[149],"its":[150,161],"effectiveness":[151],"addressing":[153],"noise,":[154],"resolution,":[155],"diagnostic":[157],"challenges.":[159],"Despite":[160],"advantages,":[162],"faces":[164],"accurate":[168],"representation":[169],"complex":[171],"physiological":[172],"processes,":[173],"computational":[174],"efficiency,":[175],"integration":[178],"physics-based":[180],"priors":[181],"across":[182],"diverse":[183],"applications.":[184,217],"points":[187],"out":[188],"future":[189],"research":[190],"directions":[191],"including":[192],"development":[194],"hybrid":[196],"models":[197,238],"that":[198],"combine":[199],"deep":[202],"techniques":[204],"large":[206],"foundation":[207],"models,":[208],"benchmark":[210],"datasets,":[211],"scalable":[213],"algorithms":[214],"for":[215,229],"real-time":[216],"The":[218],"findings":[219],"this":[221],"highlight":[223],"pivotal":[227],"approach":[228],"advancing":[230],"bridging":[233],"gap":[235],"between":[236],"theoretical":[237],"practical":[240],"implementation":[241],"clinical":[243],"settings.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":32},{"year":2025,"cited_by_count":12}],"updated_date":"2026-08-19T15:00:24.278416","created_date":"2025-10-10T00:00:00"}