BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Venue Radar//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CHIL 2027 Calendar
BEGIN:VEVENT
UID:chil-2027-deadline-full-paper@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270205T115900Z
DTEND:20270205T125900Z
SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML]
  CHIL 2027 - Submissions due (estimated)
DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni
 ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/subm
 it/call-for-papers/\nLocation: To be announced\nTopics: Healthcare & Clin
 ical AI\, Probabilistic\, Causal & Uncertainty ML\, Fairness & Responsibl
 e AI\, Machine Learning\nSize: M\nSubmission type: Paper-based\nConfidenc
 e: estimated\nLast checked date: 2026-10-06\nNotes: Provisional 1-year ca
 dence projection from CHIL 2026. Meeting dates\, location\, and deadlines
  require organizer confirmation\; website and source links refer to the p
 rior edition.\nScope: Machine learning and inference for clinical\, publi
 c\, and population health. Distinguishing areas include causal inference\
 , survival analysis\, multimodal health data\, generalization across popu
 lations\, interpretability\, and clinical evaluation and deployment. Rese
 arch may emphasize methods\, practical applications\, or societal impact.
  Health-focused inference and evaluation remain the common thread across 
 these tracks.\nAdditional topics: Explainability & Interpretability\, Hum
 an-AI Interaction & Deployment\, Robustness & Safety\, Time Series & Sequ
 ential Data\nScope sources (2026): https://chil.ahli.cc/submit/call-for-p
 apers/\nScope last checked: 2026-10-07
URL:https://chil.ahli.cc/submit/call-for-papers/
END:VEVENT
BEGIN:VEVENT
UID:chil-2027-deadline-doctoral-symposium@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART:20270314T115900Z
DTEND:20270314T125900Z
SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML]
  CHIL 2027 - Doctoral symposium application (estimated)
DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni
 ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/\nLo
 cation: To be announced\nTopics: Healthcare & Clinical AI\, Probabilistic
 \, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machine Learning
 \nSize: M\nSubmission type: Paper-based\nConfidence: estimated\nLast chec
 ked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from C
 HIL 2026. Meeting dates\, location\, and deadlines require organizer conf
 irmation\; website and source links refer to the prior edition.\nScope: M
 achine learning and inference for clinical\, public\, and population heal
 th. Distinguishing areas include causal inference\, survival analysis\, m
 ultimodal health data\, generalization across populations\, interpretabil
 ity\, and clinical evaluation and deployment. Research may emphasize meth
 ods\, practical applications\, or societal impact. Health-focused inferen
 ce and evaluation remain the common thread across these tracks.\nAddition
 al topics: Explainability & Interpretability\, Human-AI Interaction & Dep
 loyment\, Robustness & Safety\, Time Series & Sequential Data\nScope sour
 ces (2026): https://chil.ahli.cc/submit/call-for-papers/\nScope last chec
 ked: 2026-10-07
URL:https://chil.ahli.cc/
END:VEVENT
BEGIN:VEVENT
UID:chil-2027-conference@scientific-conference-calendar
DTSTAMP:19700101T000000Z
DTSTART;VALUE=DATE:20270628
DTEND;VALUE=DATE:20270701
SUMMARY:[Healthcare & Clinical AI][Probabilistic\, Causal & Uncertainty ML]
  CHIL 2027 - Conference (estimated)
DESCRIPTION:Conference title: Conference on Health\, Inference\, and Learni
 ng\nWebsite: https://chil.ahli.cc/\nSource URL: https://chil.ahli.cc/\nLo
 cation: To be announced\nTopics: Healthcare & Clinical AI\, Probabilistic
 \, Causal & Uncertainty ML\, Fairness & Responsible AI\, Machine Learning
 \nSize: M\nSubmission type: Paper-based\nConfidence: estimated\nLast chec
 ked date: 2026-10-06\nNotes: Provisional 1-year cadence projection from C
 HIL 2026. Meeting dates\, location\, and deadlines require organizer conf
 irmation\; website and source links refer to the prior edition.\nScope: M
 achine learning and inference for clinical\, public\, and population heal
 th. Distinguishing areas include causal inference\, survival analysis\, m
 ultimodal health data\, generalization across populations\, interpretabil
 ity\, and clinical evaluation and deployment. Research may emphasize meth
 ods\, practical applications\, or societal impact. Health-focused inferen
 ce and evaluation remain the common thread across these tracks.\nAddition
 al topics: Explainability & Interpretability\, Human-AI Interaction & Dep
 loyment\, Robustness & Safety\, Time Series & Sequential Data\nScope sour
 ces (2026): https://chil.ahli.cc/submit/call-for-papers/\nScope last chec
 ked: 2026-10-07
URL:https://chil.ahli.cc/
LOCATION:To be announced
END:VEVENT
END:VCALENDAR